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Wireless Design
Considerations

Today’s wireless communication systems are designed as logically separate networks (separate from the normal fixed network). They are primarily designed to provide cost-efficient wide area coverage for a rather limited number of users with moderate bandwidth demands (voice + low rate data). The consumers of telecommunication services of tomorrow will expect to receive the same services in a wireless fashion as they receive today from a fixed network. These services require high bandwidths instantaneously. It is not expected that future users will be willing to sacrifice functionality for the added value of mobility–mainly because they will hardly be using any other stationary telecommunication devices. A wireless system should therefore be transparent to the user and thus be highly integrated with the fixed network. Personal wireless devices should by nature be small and consume a minimum of power.

Wireless systems design should also take into consideration practical design solutions for engineers and engineering managers working at the wireless systems level. Solutions should explore the design, simulation, and testing of wireless systems and subsystems, especially focusing on the interaction of a design’s RF circuitry with its analog, baseband, DC, and digital sections.

This chapter discusses the design and implementation of wireless systems to support multimedia communications, with emphasis on a broadband downlink capable of supporting digital video. In particular, the development of integrated analog RF front-end and baseband digital interface circuitry, as well as the system simulations driving the design, are examined. In addition, the chapter also covers practical applications of the latest wireless technologies to help guide wireless design engineers and engineering managers in designing wireless infrastructures. Let’s begin the discussion by first taking a look at the fundamental limitations of those wireless infrastructures.

Fundamental Limitations

Device technology is expected to make even more progress. This is why size reduction and functionality of personal devices is expected not to constitute a fundamental problem, per se. The fundamental factors limiting the design of high-capacity ubiquitous wireless systems are expected to be:

• Spectrum shortage.

• Device power consumption.

• Infrastructural investments.

• Distributed network complexity.

Spectrum shortage is mainly due to regulation and coordination with existing services. Device power supply technology, which is not expected to make substantial progress (1-2 orders of magnitude) in the next decade, is why power consumption has to be limited. Infrastructural investments could include both devices and fixed networks. Can all these limiting factors be set aside with no fundamental restriction on the capacity in numbers of wireless users and the user bandwidth provided? By limiting, for instance, the infrastructural investments (for example, the number of wireless access points to the fixed network), spectrum efficiency will be degraded and device power consumption will have to be increased due to higher transmitter power and increased signal processing burden due to adverse propagation conditions. The sheer numbers of radio ports and mobile devices in future high-density wireless systems will require efficient and reliable distributed network functions in order to avoid centralized system vulnerability and excess signaling data volume. Therefore, contrary to traditional network design, let’s assume that the following factors are limiting:

• Fixed infrastructure communication capacity.

• Fixed infrastructure processing (switching).

Main Problem Areas

The design of efficient wireless infrastructures is a truly an interdisciplinary activity–spanning services and user behavior, infrastructural economics, telecommunication analysis down to implementation issues, and device technology. The main problem areas that can be identified are discussed in the sidebar, "Major Issues."

Major Issues

The following are the major problem areas (in the form of questions that need to be asked) in the design of wireless infrastructures:

User Behavior:

What is the traffic structure emanating from the use of personal wireless communication services? Will there be an imbalance (data received/transmitted) that could be exploited in efficient wireless systems design? Can source coding be employed? Can applications adapt to time-varying connection performance? What are the quality requirements.?

Economics:

How should infrastructures evolve to provide coverage and capacity with respect to operator revenues? How should investments be shared between users (personal devices) and operators ?

Device Technology:

What devices will be available (semiconductors, antennas, batteries, etc.)? What is the impact of multiple access techniques–Code Division Multiple Access (CDMA), Multicarrier techniques, Time Division Multiple Access (TDMA), and Frequency Division Multiple Access (FDMA)–on device technology and electronic system design? What will be their functionality, performance and power consumption? What user interface technology should be used?

Wireless Systems Security:

Which schemes can be devised to prevent wireless systems eavesdropping, jamming, terminal spoofing, illegal use of roaming information, etc.?

Network Architecture and Mobility Management:

What overall network architecture should be employed (packet-routing/(virtual) circuit switching)? How should efficient mobility management and/or signaling strategies be implemented? What are capacity requirements and the performance implications of these schemes? How should mixed architectures (satellite/ short range) be handled?

Radio Infrastructure Design and Performance:

What tools should be used to meet capacity demands and the restriction on spectrum, power, and cost? Which dynamic spectrum allocation architectures should be used to achieve adequate performance/spectrum utilization? How should multimedia traffic spectrum management be handled? How should radio infrastructures (radio port locations) be planned? What is the impact of layered (multi-range) cell structures?

Air Interface Design:

What multiaccess techniques, diversity, detection schemes, and antenna devices should be used? What is a suitable distribution of signal processing load (coding, detection, compression, equalization, etc.) between the fixed infrastructure and portable devices to maintain functionality but to conserve power?

Distributed Systems Implementation Technology:

How can we ensure reliability in large complex systems? How should systems be integrated and protocols designed?

In this next part of the chapter, the overall wireless system design, analog RF circuitry, and digital baseband circuitry are discussed–particularly emphasizing a single chip, the silicon Complementary Metal Oxide Semiconductor (CMOS) solution, for the mobile receiver. The discussion will focus primarily on the broadband downlink–given the high data rates, the need for low power consumption, and size in the portable unit.

Wireless System Design and Services

Over the past several years, wireless communications have seen dramatic advances in two distinct areas. On one hand, the demand for portable voiceband services has resulted in intense research efforts to improve performance and increase capacity through digital transmission. Such systems focus on wide-area narrowband communications, providing low-bandwidth network services to individual users in a portable fashion. On the other hand, the need for more flexible computer networks has led to the advent of wireless LAN’s such as the ones discussed in the sidebar, "Wireless LANs" and Table 11—1 [1]. Such systems focus on local-area wideband communications, providing networking services to individual computers but usually not easily portable.

Wireless LANs

This sidebar discusses what a wireless LAN is and what products are out there to implement a wireless LAN. See Appendix I, "List Of Wireless LAN Products And Sites," for a list of many other sites where you can go to find more information on wireless LANs.

What Is a Wireless LAN?

In the last few years, a new type of local area network has appeared. This new type of LAN, the wireless LAN, provides an alternative to the traditional LANs based on twisted pair, coaxial cable, and optical fiber. The wireless LAN serves the same purpose as that of a wired or optical LAN–to convey information among the devices attached to the LAN. But with the lack of physical cabling to tie down the location of a node on a network, the network can be much more flexible–moving a wireless node is easy, as opposed to the large amount of labor required to add or move the cabling in any other type of network. Also, going wireless may be a better choice where the physical makeup of the building makes it difficult or impossible to run wire in the building.

Wireless networks are ideal for portable computers. Using wireless connections allows portable computers to still be portable without sacrificing the advantages of being connected to a network. These machines can be setup virtually anywhere within the building.

Wireless networks can be used in combination with cabled LANs, in that all the machines that will require relative mobility are connected wirelessly, while the stations that are for the most part permanent can be connected through cable. Wireless LANs use one of three transmission techniques: spread spectrum, narrowband microwave, and infrared.

Spread Spectrum

Spread spectrum is currently the most widely used transmission technique for wireless LANs as shown in Table 11—1. It was initially developed by the military to avoid jamming and eavesdropping of the signals (like radio-controlled torpedoes). This is done by spreading the signal over a range of frequencies that consist of the industrial, scientific, and medical (ISM) bands of the electromagnetic spectrum. The ISM bands include the frequency ranges at 902 MHz to 928 MHZ, at 2.4 GHz to 2.484 GHz, and at 5.8 GHz to 5.9 GHz, which do not require an FCC license.

The first type of spread spectrum developed is known as frequency-hopping spread spectrum. This technique broadcasts the signal over a seemingly random series of radio frequencies. A receiver, hopping between frequencies in synchronization with the transmitter, receives the message. The message can only be fully received if the series of frequencies is known. Because only the intended receiver knows the transmitter’s hopping sequence, only that receiver can successfully receive all of the data. Most vendors develop their own hopping-sequence algorithms, which all but guarantee that two transmitters will not hop to the same frequency at the same time.

The FCC has made some rules for frequency-hopping spread spectrum technologies. The FCC dictates that the transmitters must not spend more than 0.4 seconds on any one channel every 20 seconds in the 902 MHz band and every 30 seconds in the 2.4 GHz band. Also, the transmitters must hop through at least 50 channels in the 902-MHz band and 75 channels in the 2.4-GHz band–a channel consists of a frequency width which is determined by the FCC. The IEEE 802.11 committee has drafted a standard that limits frequency-hopping spread spectrum transmitters to the 2.4 GHz band.

The other type of spread spectrum communication (used in cellular, Personal Communications Services (PCS), wireless LANs, and Global Positioning Satellite (GPS) systems) is called direct-sequence spread spectrum or pseudonoise. This method seems to be the one that most wireless spread-spectrum LANs use. The direct-sequence transmitter spreads its transmissions by adding redundant data bits called chips to them. Direct-sequence spread spectrum adds at least ten chips to each data bit. Like a frequency-hopping receiver, a direct sequence receiver must know a transmitter’s spreading code to decipher data. This spreading code is what allows multiple direct-sequence transmitters to operate in the same area without interference. Once the receiver has all of the data signal, it uses a correlator to remove the chips and collapse the signal to its original length.

As with frequency-hopping spread spectrum, the FCC has also set rules for direct-sequence transmitters. Each signal must have ten or more chips. This rule limits the practical raw data throughput of direct sequence transmitters to 2 Mbps in the 902 MHz band and 8 Mbps in the 2.4 GHz band. Unfortunately, the number of chips is directly related to a signal’s immunity to interference. In an area with lots of radio interference, you’ll have to give up throughput to avoid interference. The IEEE 802.11 committee has drafted a standard of 11 chips for direct-sequence spread spectrum.

Frequency-hopping radios currently use less power than direct-sequence radios and generally cost less. Direct-sequence radios have a practical raw data rate of 8 Mbps; frequency hopping radios have a practical limit of 2 Mbps. So, if high performance is key and interference is not a problem, go with direct sequencing. But if a small, inexpensive portable wireless adapter for a notebook or Personal Digital assistant (PDA) is needed, a the frequency-hopping method should be good enough.

Furthermore, another frequency-hopping technique is when each terminal has it’s own unique 10-bit code which is applied to the channel. That code allows the terminal and the base to recognize or not to recognize data intended for it. With either method of spread spectrum, the end result is a system that is extremely difficult to detect, does not interfere with other services, and still carries a large bandwidth of data.

Narrowband Microwave

Microwave technology is not really a LAN technology. Its main use is to interconnect LANs between buildings. This requires microwave dishes on both ends of the link. The dishes must be in line-of-sight to transmit and collect the microwave signals. Microwave is used to bypass the telephone company when connecting LANs between buildings.

One major drawback to the use of microwave technology is that the frequency band used requires licensing by the FCC. Once a license is granted for a particular location, that frequency band cannot be licensed to anyone else, for any purpose, within a 17.5 mile radius (4-6 GHz: 20-30 miles (analog), 10-12 GHz: 10-15 miles (digital), 18-23 GHz: 5-7 miles (digital).

Infrared

Infrared LANs use infrared signals to transmit data. This is the same technology used in products like remote controls for televisions and VCRs. These LANs can be set up using either a point-to-point configuration or a sun-and-moon configuration where the signals are diffused by reflecting them off of some type of surface. The major advantage of infrared is its ability to carry a high bandwidth, but its major disadvantage is that they can easily be obstructed, since light cannot pass through solid objects [Wood, 1-3].

Table 11—1: Wireless LAN transmission techniques.

Narrowband
Spread Spectrum Microwave Infrared

Frequency 902MHz to 928 MHz; 18.825 GHz to 3 x 1014 Hz
2.4 GHz to 2.4385GHz; 19.205 GHz
5.725 GHz to 5.825 GHz

Maximum 105 to 800 feet, or up to 40 to 130 feet, or 30 to 80 feet
coverage 50,000 square feet up to 5000 square
feet

Line of sight No No Yes
required

Transmit Less than 1 W 25 mW N/A
power

License No Yes No
required

Interbuilding Possible with antenna No Possible
use

Rated speed 20% to 50% 33% 50% to 100%

(% of 10 Mbps
wire)

The distinction between these two wireless systems is rapidly blurring. As laptop computers place mobile computing resources in the hands of individuals, wireless technologies capable of providing wide-area, wideband services will clearly be needed. With this merging of computation and communications, individual users will have instantaneous and portable access to fixed information networks via a lightweight mobile unit. Furthermore, users will be capable of transferring data to other users and accessing fixed computing resources without any constraints on where or when such access takes place. As shown in Figure 11—1, the mobile unit will support a myriad of services, including full-motion digital video and high-quality audio, and combines the functionality of today’s analog mobile telephones, radio pagers, and laptop personal computers [2].

Since portability places severe constraints on the physical weight of the terminal, the available battery power is quite limited. Thus, power minimization is crucial; power reduction in both the digital and analog hardware must be achieved. To this end, the terminal should only carry the bare minimum of computing resources necessary to support its functionality. User computation should be mainly performed by large, non-portable computing facilities, with the high-speed wireless link serving as the terminal’s means of accessing the fixed computation servers and data networks. Direct point-to-point wireless communication is not allowed; the link only provides the final interface into the wired data network, much like a conventional telephone handset serves as the link into the telephony system. Whereas the capability of moving massive amounts of digital data within networks already exists, the problem of easily getting data in and out of those networks is now addressed.

Figure 11—1: Overview of system services.



Although placing all computation services back in the wired network has immediate benefits in terms of reducing power consumption, it provides another advantage: data that is highly sensitive to corruption will not be transmitted over the wireless network. Existing distributed computation environments are crucially dependent on the fact that data transmitted over the network has high integrity (bit-error rates on wired Ethernet are typically on the order of 1 per 1012 bits and further protection is gained by packet retransmit in the case of an error). However, on wireless networks this is not true; even after extensive error-correction coding, it is still difficult to attain error rates even remotely as low as this. User computation data, such as spreadsheets or simulation results or bank transfers, simply cannot be allowed to sustain any corruption. For wireless systems, this translates into an inordinate amount of transmission overhead in terms of coding and data retransmission to compensate. On the other hand, user multimedia information, such as voice and image data, is relatively tolerant of bit errors. An error in a single video frame or an audio sample will not significantly change the meaning or usefulness of the data. Thus, the portable unit described above is truly a terminal dedicated to multimedia personal communications, and not simply a notebook computer with a wireless LAN/modem attached to it.

With the shift in emphasis from computation inside the mobile unit over to communications outside, it is evident that development of a wideband link capable of supporting the required user bandwidth becomes paramount. The uplink is used only for low-rate speech and control data. Although the system is still full-duplex, this asymmetry must be accounted for in the design, as the bandwidth requirements for maintaining the uplink are thus considerably less than those for the downlink.

Note: 

The wideband video data is only supported in the downlink to the mobile.

Broadband Spread-Spectrum Communications

Even with a reliable, guaranteed latency backbone network, the issues of user capacity and overall system bandwidth consumption still remain. With the best compression schemes developed to date, data rates in excess of 1 Mbps per user would be needed to support full-motion video. However, this data rate is not needed on a continuous basis. When regular computational tasks are being performed on compute servers back on the network (such as using a word processor or a spreadsheet), the screen changes only slightly on a frame-by-frame basis; and, over only a small region–usually on the order of a single character or a few pixels. Hence, the peak data rate required by a user may easily be much larger than the overall time-average data rate. Thus, minimizing the overall system bandwidth consumption while supporting a large number of users accessing data simultaneously is of paramount importance.

The advantages in improved spectral efficiency afforded by cellular systems have long been known. They have already been employed to a limited extent by existing analog mobile telephony systems, with cell size on the order of square kilometers. Due to the tremendous bandwidth requirements of such a portable terminal, it is inevitable that future wideband systems will exploit picocellular networks with cell sizes on the order of meters to employ as much frequency reuse as possible.

Note:

Macrocell–large area; Microcell–smaller area; and Picocell–very small area.

The primary interference mechanism in such a cellular transmission environment is that of multipath fading, in which the transmitted signal interferes at the receiver due to reflections off of objects. From statistical measurements [Sheng, 3], the short-range indoor channel that’s been considered has typical delay spreads ranging from 20 nsec to 60 nsec with Rician-distributed fading characteristics. This is far different from the typical outdoor large-cell transmission environment that has much more severe Rayleigh fading characteristics. Likewise, the indoor transmission environment changes far more slowly than the outdoor, given that the mobile unit will likely be stationary during use.

With this in mind, direct-sequence spread spectrum, or code-division multiple access becomes attractive for use in the downlink. It is naturally immune to multipath, since it can (with sufficient spreading) resolve the interfering multipath arrivals and combine them via a Rake Receiver (receiver having a number of individual digital channels, or tines, which can combine these channels to form a stronger received signal) as an intrinsic form of diversity. Also, CDMA can easily accommodate a wide range of user data rates by varying the transmit power for each user as a function of the required data rate. This concept of power modulation has already been exploited to improve the effective system capacity of next-generation digital cellular systems [Sheng, 3]. It is important to realize that traditional impairments of CDMA systems such as near-far interference and unsynchronized codes do not exist for the downlink, since all downlink transmissions originate from a single point–the base station. The broadcast nature of the signal, combined with the ability to resolve multipath arrivals and support variable data rates, makes CDMA extremely attractive for use in the high-performance wireless downlink in the system.

With these factors in mind, the system itself is a wideband extension of the U.S. IS-95 digital cellular CDMA standard [Sheng, 3], which utilizes a transmitted synchronization tone for timing recovery and Walsh orthogonal codes to multiplex users. A basic raw user data rate of 2 Mbps is assumed to allow a margin for channel error correction as well as the ability to explore various compression algorithms. The raw data is then modulated into a 1 Mbaud differential quadrature phase shift keying (DQPSK) symbol stream. In determining the cell size of 5 meters, a typical office environment consisting of soft-partition cubicles is assumed, with each cell typically containing 12 to 16 active users. Of those 16 users, it is assumed that approximately half are demanding the full 1 Mbaud data rate for video use, while the remainder are utilizing 128 Kbaud (256 Kbps) each for lower data rate applications such as voice or text and graphics. With a seven-cell reuse pattern at maximum capacity, a chipping rate of 64 Mchip/sec is sufficient to support this. Furthermore, given an average delay spread of 40 nsec, the resolvable number of paths is given by:

N = (Tdelayspread/Tchip) + 1

which translates to 2-3 resolvable paths by the receiver and dictates the size and complexity of the Rake receiver in the digital baseband hardware.

With a chipping rate of 64 Mchip/sec, a transmit bandwidth of 80 to 100 MHz will be required. Although this is a considerable amount of spectrum, this is amortized over large numbers of people using this spectrum simultaneously within multiple buildings. Considering that this bandwidth is designed to support full motion video and other multimedia network services for all users, this allocation of spectrum is not unreasonable given the level of service provided by the system, especially when compared to the spectrum allocated for existing systems by the National Television System Committee (NTSC) television standard.

For development and system verification for example, a baseband equivalent model for the transceiver system has been developed in the U.C. Berkeley Ptolemy simulation environment [Sheng, 4]. The schematic of the system utilizes a delay-locked loop keyed to the timing pilot tone to achieve synchronization/lock, and furthermore uses the pilot tone to provide an estimate of the channel impulse response. To simulate multipath effects, a baseband equivalent channel model has been developed from measured statistics [Sheng, 4]. This allows users to optimize the system for transmit power levels, number of parallel receivers, quantization levels in the receiver, etc.

As an example, the bit-error rate (BER) as a function of the number of users is shown in Figure 11—2, simulated under various conditions [Sheng, 5]. By Monte-Carlo methods, a worst-case (extreme fade) channel and a best-case channel were determined from the model, and then both channels were simulated with and without maximum-ratio Rake combining [Sheng, 4]. The benefits of the three-tap Rake receiver are apparent; under the worst-case fade condition, the Rake combiner provided a factor of up to 1000 improvement in BER over the uncompensated case. As the number of users increases, however, this not only degrades the base signal-to-noise ratio, but also degrades the accuracy of the channel estimate, reducing the effectiveness of the Rake combiner.

Figure 11-2:


With high data rates and variable throughput requirements, developing the downlink has been of greatest importance, with CDMA providing an attractive means of both channel compensation and multiple access. The uplink, consisting of speech and pen input data, will require significantly lower data rates per user data rates (on the order of 32 Kbps), and due to near-far effects and the unsynchronized nature of the uplink signals, CDMA is not nearly as attractive. Instead, more conventional time-division multiple access (TDMA), frequency-hopped, or orthogonal frequency-division multiple access techniques are being explored for use in the uplink.

Monolithic RF Circuitry

Ostensibly, the linchpin of the wireless link lies in the development of the necessary radio-frequency components. In addition to the requirement of low power consumption, the analog RF circuitry is complicated by the need to operate at frequencies above 1 GHz. Due to spectral congestion and competition from existing services, it will be impossible to accommodate such a wideband system at any lower frequencies. Such circuitry has been traditionally dominated by designs using discrete gallium arsenide semiconductors (GaAs) or silicon bipolar transistors and stripline filters, which consume significant amounts of area on a circuit board and excessive amounts of power, especially when matching to standard impedance levels (typically, 50 ý).

First, the greatest power consumer in existing analog cellular is the transmitter. Since the transmit power must be scaled down as the cell radius is reduced, power consumed in the portable to drive the antenna drops correspondingly. Whereas existing cellular systems utilize 1 watt transmit power for RF links in 5 mile cells, a picocellular system with 5 meter cells only requires 0.1 to 1 milliwatt to maintain the link. The impact of this is tremendous; the traditional RF power amplifier is not needed, and transmit power becomes a small fraction of the overall system power consumption in a microcell or picocell environment.

Hence, power minimization of the remaining RF components becomes critical. Shown in Figure 11—3 is the block diagram of a conventional superheterodyne RF transceiver designed for picocell operation in the 902-928 MHz radio band [Sheng, 6]. Implemented using commercially available components, the power consumption for each active element in the transceiver is indicated. Even without the transmit power amplifier, the total consumption is impressive–1W overall, with 750 mW being consumed in the receiver. Furthermore, the component count is astronomical; over 200 passive and active devices are needed to implement the design, after taking into account external bypass, filter, and bias elements. Minimizing both the power and component count dictates the development of highly integrated analog technologies. From Figure 11—3, it is also apparent that the greatest gains are to be had from optimizing the receiver circuitry, given the complex chain of amplifiers, mixers, filters, oscillators, and Analog-to-Digital (A/D) converters required to implement it.

Figure 11-3:


This part of the chapter will focus on the design and implementation of a single-chip, highly integrated receiver capable of operating in the 1 GHz frequency band and supporting a 64 Mchip/sec direct-sequence spread spectrum signal. To facilitate high integration levels, silicon CMOS is employed exclusively in the design.

Silicon CMOS for Microwave Applications

Digital technologies have seen a breakthrough in both performance and size through the use of device scaling, especially in the arena of silicon. However, the same benefits derived from Metal Oxide Semiconductor (MOS) scaling for digital circuits are reflected in analog applications as well. The figure of merit used to measure analog device performance is ft, which is the maximum operating frequency at which gain can still be derived. As a reference point, effective operation in the 1 GHz band requires a minimum device ft of around 7 GHz, with 10 GHz being a more conservative estimate. Currently available 1.2 micron processes can achieve peak fts in excess of 8 GHz; and, with an experimental 0.35 micron process, fts in excess of 25 GHz can be achieved. This argues very strongly that a 1 to 5 GHz analog RF transceiver can be built employing the same technologies traditionally used for digital, thus opening the possibility of a single-chip CMOS radio implementation.

As a demonstration, the RF amplifier design shown in Figure 11—4 has been fabricated and tested in a 1.2 micron technology (Sheng, 7]. The design is a two-stage transconductance-transresistance cascade, with the transresistance stage consisting of the tightly-coupled feedback loop formed by NMOS M2-M3. The presence of this feedback loop ensures that the circuit has no high-impedance nodes, thus achieving its broadband performance. Since the transconductance stage has gain gm1, the overall gain of the circuit is thus gm1/gm3, which can be shown to be process- and temperature-independent. The output buffers shown are needed to drive an off-chip filter stage, and are designed to be matched to 50W.

The measured performance characteristics of the amplifier are shown in Figure 11—4, including the frequency response of the circuit. The circuit was originally designed for use in a low-parasitic multichip module; however, for testing it became necessary to package the device in a 44-pin leadless chip carrier. The sharp peaking near the rolloff corner is due to the extra parasitics introduced by the package. The Transistor Level Circuit Simulator or Simulation Program with Integrated Circuit Emphasis (SPICE) simulation for the amplifier with the package can be seen to fit quite well to measured values, and the SPICE simulation of the device in a multichip module is also shown. A version of this amplifier correcting for the package parasitics has been designed, and is fabricated as part of the integrated receiver circuit.

 

Figure 11-4:


Sampling Demodulators

When sampling demodulators, a homodyne conversion method should be used that takes advantage of the fact that the underlying transmitted signal is inherently discrete-time [Sheng, 7]. If the incoming modulated RF signal at a carrier wc is subsampled at a frequency ws, where wc is assumed to be an integer multiple of ws, then the aliasing phenomenon intrinsic to the sampling operation will yield the required frequency conversion. This is akin to the passband sampling concept employed for many years by digital sampling oscilloscopes. Subsampling a passband signal is tantamount to a mixing operation. What was a complex series of active mixers and oscillators has been reduced to a single sampling operation, sampled at the Nyquist rate of the baseband signal. The hardware and power costs are now minimal: an accurate switch, implementable using standard MOS technologies, and a fixed-frequency crystal oscillator. A prototype demodulator has been fabricated to explore this concept. The modulated signal is a 20 kHz square wave riding on top of a 100 MHz carrier tone. The sampling rate is set to 1 MHz (100x subsampling ratio). Clearly, the sampled output is the recovered baseband envelope. The return to zero effect is a result of the sampling capacitors resetting during each cycle. Also, the slight curvature exhibited in the recovered baseband signal is due to the fact that wc is not a perfect integer multiple of ws. The frequency offset between the carrier frequency and the sampling rate is slight; in this case, it was measured to be 1.4 kHz.

In any case, the system design must take this phenomenon into account, since it is impossible to achieve zero offset. First, two sampling switches are employed to recover both the in-phase and quadrature signals. Thus, this frequency offset can be viewed as a slow rotation of the constellation in symbol space. Also, it is clear that the offset will be significantly smaller than the user symbol rate (1 MHz), given a typical frequency accuracy of 20 to 100 parts/million for crystal-based references. Thus, by employing an incoherent differential quadrature phase shift keying (DQPSK) digital modulation, the effects of the frequency offset can be nullified without the use of a carrier phase-locked recovery loop. Although a 3 dB signal-to-noise ratio (SNR) penalty is incurred by the incoherency, there are alternative strategies to recover this 3 dB that are far less expensive than carrier recovery, such as employing diversity antennas or error correction coding.

In order to meet the performance requirements for the spread-spectrum downlink, a sampling switch capable of handling a 1 GHz modulated signal and running at 128 MHz (twice the chipping rate) has been developed. The schematic of the demodulator is shown in Figure 11—5 [Sheng, 9]. First, to minimize the effects of switching noise and charge injection, a differential bottom-plate sampling topology is employed [Sheng, 8]. Second, the sampling capacitors must be able to track the 1 GHz modulated signal in order to sample the signal. Hence, the switches M1a,b and M2 must be carefully sized to ensure that the lowpass cutoff (formed by the on-resistance of the switches and the sampling capacitor) is well in excess of 1 GHz; otherwise, the incoming RF signal will be disastrously attenuated.

Furthermore, to achieve the 128 MHz switching performance, an extremely fast opamp is needed. In order to minimize the amount of static current in the opamp (and hence power), a unity-gain architecture is employed in which the sampling capacitor itself is used in the opamp feedback by opening switches M1a,b and closing switches M3a,b. This is has been shown to maximize the feedback factor for the closed-loop opamp [Sheng, 9]. Since settling time is proportional to 1/(Gmf)–where f is the feedback factor and Gm is the opamp transconductance gain (for a fixed settling time), increasing f translates to a decrease in the gain Gm. This correspondingly results in a minimum power solution to achieve the necessary settling time.

Figure 11—5: Sampling demodulator architecture. (Differential bottomplate, Csample =
Cintegrating).

Figure 11-5:


Analog-to-Digital (A/D) Conversion

Lastly, the analog-to-digital conversion itself must be considered. After the sampling demodulator, the signal is passed through a switched-capacitor automatic gain control amplifier to minimize the dynamic range requirements of the A/D converter. However, the required bit resolution in the A/D still needs to be addressed, as well as implementation of a 128 MHz A/D in a low-power fashion.

Intuitively, beyond a certain number of bits resolution, there should be no improvement in system performance by increasing the resolution further. Essentially, at this point, both the dynamic range and quantization noise requirements have been met. To determine this, the simulation results for BER versus number of users for varying A/D converter resolutions are shown in Figure 11—6 for a worst-case (extreme fade) channel [Sheng, 10]. Beyond 4 bits, no improvement in the BER curve is seen. The result is surprising, in that the required number of bits is far lower than expected. However, this makes sense: quantization noise itself is an additive phenomenon, the matched filter correlators will serve to reject this noise as well, effectively providing more bits of resolution at the output of the correlators.

Figure 11-6:


Therefore, a 128 Msample/sec A/D converter has been designed for integration with the analog receiver and the digital baseband circuitry. The need for only four bits of resolution, along with the high sampling rate, imply a flash architecture for the A/D converter. However, the need for a low-power design leans towards a pipelined architecture. This is mainly due to the fact that the switched-capacitor sample-and-hold circuit already designed for the sampling demodulation can be easily modified to act as a natural interstage gain amplifier for a 1-bit per stage pipeline. Unfortunately, the 128 MHz sampling rate makes a full pipeline implementation prohibitive, given the extreme critical path constraints. However, the final stage of a pipeline does not have the same constraints as previous stages. Therefore, a hybrid 1-bit/3-bit pipeline has been implemented in which a 3-bit flash converter is preceded by an interstage latch and a 1-bit converter to determine the most significant bit. In this manner, a traditional 4-bit flash comparator is reduced in complexity from 15 comparators to 8. The comparator design is shown in Figure 11—7, a fully differential variation on [Sheng, 10]. Its comparison time after the input stabilizes it under 3 nsec. More importantly, the complete 1-bit/3-bit pipeline consumes only 20 mW of power to achieve the desired goal of 4-bit, 256 MHz conversion.

Figure 11-7:


The final architecture for the analog receiver is shown in Figure 11—8 [Sheng, 11]. As compared to the 750 mW superheterodyne receiver from Figure 11—3, it consumes only 60 mW of power, gained primarily through the use of a switching demodulator to minimize the hardware. Furthermore, the fact that no off-chip loads need to be driven after the first amplifier stage also minimizes the amount of power expended in high-frequency board drivers. Lastly, the use of spread spectrum minimizes the quantization accuracy required in the A/D converter, which permits a low-power solution to the analog-digital interface circuitry in spite of the extremely high speeds required.

Figure 11-8:


Baseband Digital Circuitry

After analog demodulation and A/D conversion, the resulting spread-spectrum digital stream needs to be decoded to recover the user bits. A detailed baseband block diagram for the receiver is shown in Figure 11—9, with the operating frequencies at each point in the signal flow indicated [Sheng, 12]. From this, it is evident that a massive amount of digital signal processing will be required to recover the spread-spectrum transmitted signal. In particular, the portable unit will require at least 128 MHz processing rates to perform the necessary timing recovery on the incoming 64 Mchip/sec signal, and multiple receivers to track and resolve multipath arrivals. Clearly, the power needed to drive these functions can easily be prohibitive for portable operation. The total power consumption must be minimized, while maintaining the required throughput of the overall system. However, since the processing is bounded by real-time constraints (with Tchip = 16 nsec) once the throughput performance is met, there is no advantage in making computation any faster–thus, opening up a major degree of freedom to the designer. In the forthcoming analysis, this part of the chapter focuses on the design and power minimization of the receiver baseband digital signal processor (DSP), given its extreme power requirements and complexity.

Figure 11-9:


Techniques have been developed which reduce power consumption in CMOS digital circuits while maintaining computational throughput by trading off area for power savings [Sheng, 12]. The key source of power dissipation in digital CMOS circuits is the switching current, which is summarized in the following equation:

P total = (CL ·&sfgr; δδ 2·f clk)

CL is the effective loading capacitance, f clk is the clock frequency, and Vdd is the supply voltage. Thus, minimizing CL, Vdd, and fclk while retaining the required functionality becomes paramount. The reduction of Vdd is the key to low-power operation. However, a speed penalty is incurred by this, and must be compensated by architectural modifications in the system by incorporating parallelism or pipelining. To optimize power, the supply voltage can be used as a design parameter. Three supply voltages are used: 1.5V, 3.3V, and 5V, with the multiple supply voltages being efficiently generated from a single battery using off-chip DC-DC converter circuitry. These voltages were chosen to match the supply voltages used by other chips in the mobile terminal (3.3V and 5V), plus a single low-power supply at 1.5V. The 1.5V figure has been shown to be the optimal supply voltage under certain assumptions [Sheng, 12]. Likewise, level shifting buffers are used on-chip to interface between blocks at different supply voltages. Another technique used to optimize power is the choice of number representation. Since the sign of the data is constantly being toggled due to the multiplication with the walsh and PN sequences, it been discovered that a sign-magnitude number representation will consume approximately 30% less power than a 2’s complement number representation for an application [Sheng, 12].

From Figure 11—9, it is clear that the critical block in the receiver is the matched-filter correlator. A total of 9 complex-valued (in-phase and quadrature) correlators will be needed to implement the required functionality. To simplify matters, the input data mix decimates the 128 MHz I/Q streams down into two parallel 64 MHz streams for processing. Due to the nature of the delay-locked loop, this can readily be done, since one stream will be fed into the timing recovery loop and the other stream will be fed into the data recovery and Rake estimator blocks. Each complex correlator consists of a pair of identical datapaths, one to correlate I and one for Q. In Figure 11—10, the block diagram for the datapath is shown [Sheng, 13]. The input is a 4-bit sign-magnitude value, clocked in at 64 MHz. Using the sign bit for control, the 3-bit magnitude is directed into a positive or negative accumulator. Each accumulator is 9 bits wide to account for the required dynamic range for 64 samples during correlation. After the correlation is completed, the contents of the negative accumulator are subtracted from the positive accumulator resulting in a significant power savings–as the subtraction only needs to be done at a 1 MHz rate.

Figure 11-10:


Figure 11—10: Datapath for correlator.

Lastly, to be able to reduce the supply voltage down to 1.5V for the correlator datapaths, minimizing the critical path in the accumulator itself is mandatory. To achieve this, a carry-save adder architecture is employed. It effectively pipelines the adder at the per-bit level, thus reducing the critical path down to the delay through a single half-adder and a register. Each correlator can thus achieve the full 64 MHz throughput–running at a supply voltage of 1.5V, while only consuming 1.5 mW of power for each complex-valued correlator. To contrast, had a ripple-carry adder been employed in the accumulator, it would have needed to run at a 3.3V supply to meet the critical path (carry ripple through 9 bits); and, power consumption per complex correlator would have increased almost fourfold to 5 mW each.

To summarize, the performance numbers for each block in the digital baseband system, provides a breakdown of the supply voltage, the operating frequency, and the power consumption for each component. Due to the fact that the clock generator needs to be able to adjust its phase very accurately (since it is being driven by the delay-locked loop), it must run at 256 MHz, and consumes a significant fraction of the power since a supply voltage of 5V is needed. Otherwise, by minimizing the power consumed in the correlators, the total power consumption of the digital baseband receiver processing has been minimized to 27 mW despite its extremely high operating frequencies.

Considerations

In this chapter, the design and implementation of a wireless system to support multimedia communications have been considered, with emphasis on a broadband downlink capable of supporting digital video. In particular, the development of integrated analog RF front-end and baseband digital interface circuitry, as well as the system simulations driving the design, have also been considered. An ultimate per-user data rate of 2 Mbps is the target. To achieve the required capacity, a picocellular system architecture is employed, using cells on the order of 5m in size.

In examining multiple access strategies for such an application, direct-sequence spread-spectrum or code-division multiple access possesses many advantages. For this particular system, a symbol rate of 1 Mbaud with a chipping rate of 64 Mchip/sec is used. For the spreading code, a Walsh-PN hybrid based on the existing IS-95 cellular standard is chosen. Beyond providing multiple access, the ability to resolve multiple arrivals and detect adjacent channels in the digital baseband circuitry also affords many benefits that other systems (such as time-division or frequency-hop) cannot so easily provide. Taking advantage of the broadcast mode transmission of the downlink, each cell is keyed to a pseudorandom pilot tone which tremendously simplifies timing recovery and detection in the mobile.

Since portability places severe constraints on the size and weight of the terminal itself, power is at a premium as the batteries simply cannot provide much power on a continuous basis without expending an inordinate amount of weight, or an extremely short usable lifetime between rechargings. Thus, low-power digital systems design becomes of paramount importance. Through optimized circuit design strategies, reduced supply-voltage operation and architectural techniques (such as parallelism and pipelining the power consumed in the terminal) can be reduced dramatically.

Lastly, the feasibility of a high-performance monolithic RF transceiver has also been considered. It is evident that an all-MOS RF system operating in the 1-2 GHz range is quite feasible given the technologies that are currently available. The benefits of integration are enormous: reduced parasitic effects, greater manufacturability, and minimized power requirements to drive off-chip loads. Likewise, by examining the basic architecture used in the transceiver, the underlying digital nature of the signal can be used to simplify the resulting circuit considerably: homodyne demodulation using passive sampling techniques is one important example of how this can be achieved. By taking advantage of these techniques, factors of 10-20x reduction in the power consumed by the analog RF circuitry in conventional designs can be achieved.

Lastly, exploiting dedicated parallel and pipelined techniques, a low-power spread-spectrum receiver can be designed in spite of the tremendous chipping rate of the system (64 Mchip/sec). By scaling the supply voltage, and employing multiple supplies into the chip, optimal voltages can be chosen to meet throughput requirements and minimize power consumption in the baseband digital logic.

From Here

This chapter discussed wireless design considerations (spread spectrum, microwave, and the design and implementation of wireless systems to support multimedia communications, etc.). The next chapter opens up Part III, "Planning For High-Speed Cabling Systems," by taking a thorough look at high-speed real-time data compression and how to plan for higher-speed cabling systems.

End Notes

[1] Joel B Wood, "The Wireless LANs Page," The Ohio Sate University Computer and Information Science Deapartment, 395 Dreese Laboratories, 2015 Neil Avenue, Columbus, Ohio 43210-1277, 1995, pp. 1—3.

[2] Samuel Sheng, Randy Allmon, Lapoe Lynn, Ian O’Donnell, Kevin Stone, and Robert Brodersen, "A Monolithic CMOS Radio System for Wideband CDMA Communications," Department of EECS, 231 Cory Hall #1770, U.C. Berkeley Berkeley, CA 94720 USA, 1997, p. 2.

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