无线通信基础

出版时间：2009-8  出版社：人民邮电出版社  作者：（美）维斯瓦纳斯（Viswanath,P）,（美）谢（Tse,D）  页数：564  
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前言

　　The writing of this book was prompted by two main developments in wirelesscommunication in the past decade. First is the huge surge of research activitiesin physical-layer wireless communication theory. While this has been a subjectof study since the sixties， recent developments such as opportunistic and mul-tiple input multiple output （MIMO） communication techniques have broughtcompletely new perspectives on how to communicate over wireless channels.Second is the rapid evolution of wireless systems， particularly cellular net-works， which embody communication concepts of increasing sophistication.This evolution started with second-generation digital standards， particularlythe IS-95 Code Division Multiple Access standard， continuing to more recentthird-generation systems focusing on data applications. This book aims topresent modem wireless communication concepts in a coherent and unifiedmanner and to illustrate the concepts in the broader context of the wirelesssystems on which they have been applied.

内容概要

　　《无线通信基础(英文版)》介绍无线通信的基本原理，着重强调概念及其在系统中的实现之间的相互影响，涉及的主要问题有MIMO通信、空时编码、机会通信、OFDM和CDMA等，这些概念均利用无线系统的大量实例予以说明。书中还配有大量的习题和图表，可以帮助读者进一步理解材料内容。《无线通信基础(英文版)》适合作为通信工程和电子信息类相关专业高年级本科生和研究生的教材，也可供工程技术人员参考。

作者简介

　　David Tse，博士，是无线通信领域新一代权威，现任加州大学伯克利分校电气工程与计算机科学系教授，毕业于麻省理工学院。　　Pramod Viswanath，博士现任伊利诺伊大学厄巴纳-尚佩恩分校电气与计算机工程系副教授，毕业于加州大学伯克利分校。

书籍目录

1　Introduction　11.1　Book objective　11.2　Wireless systems　21.3　Book outline　52　The wireless channel　102.1　Physical modeling for wireless channels　102.1.1　Free space， fixed transmit and receive antennas　122.1.2　Free space， moving antenna　132.1.3　Reflecting wall， fixed antenna　142.1.4　Reflecting wall， moving antenna　162.1.5　Reflection from a ground plane　172.1.6　Power decay with distance and shadowing　182.1.7　Moving antenna， multiple reflectors　192.2　Input/output model of the wireless channel　202.2.1　The wireless channel as a linear time-varying system　202.2.2　Baseband equivalent model　222.2.3　A discrete-time baseband model　25Discussion 2.1 Degrees of freedom　282.2.4　Additive white noise　292.3　Time and frequency coherence　302.3.1　Doppler spread and coherence time　302.3.2　Delay spread and coherence bandwidth　312.4　Statistical channel models　342.4.1　Modeling philosophy　342.4.2　Rayleigh and Rician fading　362.4.3　Tap gain auto-correlation function　37Example 2.1 Clarke’s model　38Chapter 2 The main plot　402.5　Bibliographical notes　422.6　Exercises　423　Point-to-point communication： detection， diversity， and channel ncertainty　493.1　Detection in a Rayleigh fading channel　503.1.1　Non-coherent detection　503.1.2　Coherent detection　523.1.3　From BPSK to QPSK： exploiting the degrees of freedom　563.1.4　Diversity　593.2　Time diversity　603.2.1　Repetition coding　603.2.2　Beyond repetition coding　64Summary 3.1 Time diversity code design criterion　68Example 3.1 Time diversity in GSM　693.3　Antenna diversity　713.3.1　Receive diversity　713.3.2　Transmit diversity： space-time codes　733.3.3　MIMO： a 2×2 example　77Summary 3.2 2×2 MIMO schemes　823.4　Frequency diversity　833.4.1　Basic concept　833.4.2　Single-carrier with ISI equalization　843.4.3　Direct-sequence spread-spectrum　913.4.4　Orthogonal frequency division multiplexing　95Summary 3.3 Communication over frequency-selective channels　1013.5　Impact of channel uncertainty　1023.5.1　Non-coherent detection for DS spread-spectrum　1033.5.2　Channel estimation　1053.5.3　Other diversity scenarios　107Chapter 3 The main plot　1093.6　Bibliographical notes　1104　Cellular systems： multiple access and interference management　1204.1　Introduction　1204.2　Narrowband cellular systems　1234.2.1　Narrowband allocations： GSM system　1244.2.2　Impact on network and system design　1264.2.3　Impact on frequency reuse　127Summary 4.1 Narrowband systems　1284.3　Wideband systems： CDMA　1284.3.1　CDMA uplink　1314.3.2　CDMA downlink　1454.3.3　System issues　147Summary 4.2 CDMA　1474.4　Wideband systems： OFDM　1484.4.1　Allocation design principles　1484.4.2　Hopping pattern　1504.4.3　Signal characteristics and receiver design　1524.4.4　Sectorization　153Example 4.1 Flash-OFDM　153Chapter 4 The main plot　1544.5　Bibliographical notes　1554.6　Exercises　1555　Capacity of wireless channels　1665.1　AWGN channel capacity　1675.1.1　Repetition coding　1675.1.2　Packing spheres　168Discussion 5.1 Capacity-achieving AWGN channel codes　170Summary 5.1 Reliable rate of communication and capacity　1715.2　Resources of the AWGN channel　1725.2.1　Continuous-time AWGN channel　1725.2.2　Power and bandwidth　173Example 5.2 Bandwidth reuse in cellular systems　1755.3　Linear time-invariant Gaussian channels　1795.3.1　Single input multiple output (SIMO) channel　1795.3.2　Multiple input single output (MISO) channel　1795.3.3　Frequency-selective channel　1815.4　Capacity of fading channels　1865.4.1　Slow fading channel　1875.4.2　Receive diversity　1895.4.3　Transmit diversity　191Summary 5.2 Transmit and receive diversity　1955.4.4　Time and frequency diversity　195Summary 5.3 Outage for parallel channels　1995.4.5　Fast fading channel　1995.4.6　Transmitter side information　203Example 5.3 Rate adaptation in IS-856　2095.4.7　Frequency-selective fading channels　2135.4.8　Summary： a shift in point of view　213Chapter 5 The main plot　2145.5　Bibliographical notes　2175.6　Exercises　2176　Multiuser capacity and opportunistic communication　2286.1　Uplink AWGN channel　2296.1.1　Capacity via successive interference cancellation　2296.1.2　Comparison with conventional CDMA　2326.1.3　Comparison with orthogonal multiple access　2326.1.4　General K -user uplink capacity　2346.2　Downlink AWGN channel　2356.2.1　Symmetric case： two capacity-achieving schemes　2366.2.2　General case： superposition coding achieves capacity　238Summary 6.1 Uplink and downlink AWGN capacity　240Discussion 6.1 SIC： implementation issues　2416.3　Uplink fading channel　2436.3.1　Slow fading channel　2436.3.2　Fast fading channel　2456.3.3　Full channel side information　247Summary 6.2 Uplink fading channel　2506.4　Downlink fading channel　2506.4.1　Channel side information at receiver only　2506.4.2　Full channel side information　2516.5　Frequency-selective fading channels　2526.6　Multiuser diversity　2536.6.1　Multiuser diversity gain　2536.6.2　Multiuser versus classical diversity　2566.7　Multiuser diversity： system aspects　2566.7.1　Fair scheduling and multiuser diversity　2586.7.2　Channel prediction and feedback　2626.7.3　Opportunistic beamforming using dumb antennas　2636.7.4　Multiuser diversity in multicell systems　2706.7.5　A system view　272Chapter 6 The main plot　2756.8　Bibliographical notes　2776.9　Exercises　2787　MIMO I： spatial multiplexing and channel modeling　2907.1　Multiplexing capability of deterministic MIMO channels　2917.1.1　Capacity via singular value decomposition　2917.1.2　Rank and condition number　2947.2　Physical modeling of MIMO channels　2957.2.1　Line-of-sight SIMO channel　2967.2.2　Line-of-sight MISO channel　2987.2.3　Antenna arrays with only a line-of-sight path　2997.2.4　Geographically separated antennas　3007.2.5　Line-of-sight plus one reflected path　306Summary 7.1 Multiplexing capability of MIMO channels　3097.3　Modeling of MIMO fading channels　3097.3.1　Basic approach　3097.3.2　MIMO multipath channel　3117.3.3　Angular domain representation of signals　3117.3.4　Angular domain representation of MIMO channels　3157.3.5　Statistical modeling in the angular domain　3177.3.6　Degrees of freedom and diversity　318Example 7.1 Degrees of freedom in clustered response models　3197.3.7　Dependency on antenna spacing　3237.3.8　I.i.d.Rayleigh fading model　327Chapter 7 The main plot　3287.4　Bibliographical notes　3297.5　Exercises　3308　MIMO II： capacity and multiplexing architectures　3328.1　The V-BLAST architecture　3338.2　Fast fading MIMO channel　3358.2.1　Capacity with CSI at receiver　3368.2.2　Performance gains　3388.2.3　Full CSI　346Summary 8.1 Performance gains in a MIMO channel　3488.3　Receiver architectures　3488.3.1　Linear decorrelator　3498.3.2　Successive cancellation　3558.3.3　Linear MMSE receiver　3568.3.4　Information theoretic optimality　362Discussion 8.1 Connections with CDMA multiuser detection and ISI equalization　3648.4　Slow fading MIMO channel　3668.5　D-BLAST： an outage-optimal architecture　3688.5.1　Suboptimality of V-BLAST　3688.5.2　Coding across transmit antennas： D-BLAST　3718.5.3　Discussion　372Chapter 8 The main plot　3738.6　Bibliographical notes　3748.7　Exercises　3749　MIMO III： diversity–multiplexing tradeoff and universal space-time codes　3839.1　Diversity–multiplexing tradeoff　3849.1.1　Formulation　3849.1.2　Scalar Rayleigh channel　3869.1.3　Parallel Rayleigh channel　3909.1.4　MISO Rayleigh channel　3919.1.5　2×2 MIMO Rayleigh channel　3929.1.6　nt×nr MIMO i.i.d.Rayleigh channel　3959.2　Universal code design for optimal diversity-multiplexing tradeoff　3989.2.1　QAM is approximately universal for scalar channels　398Summary 9.1 Approximate universality　4009.2.2　Universal code design for parallel channels　400Summary 9.2 Universal codes for the parallel channel　4069.2.3　Universal code design for MISO channels　407Summary 9.3 Universal codes for the MISO channel　4109.2.4　Universal code design for MIMO channels　411Discussion 9.1 Universal codes in the downlink　415Chapter 9 The main plot　4159.3　Bibliographical notes　4169.4　Exercises　41710　MIMO IV： multiuser communication　42510.1　Uplink with multiple receive antennas　42610.1.1　Space-division multiple access　42610.1.2　SDMA capacity region　42810.1.3　System implications　431Summary 10.1 SDMA and orthogonal multiple access　43210.1.4　Slow fading　43310.1.5　Fast fading　43610.1.6　Multiuser diversity revisited　439Summary 10.2 Opportunistic communication and multiple receive antennas　44210.2　MIMO uplink　44210.2.1　SDMA with multiple transmit antennas　44210.2.2　System implications　44410.2.3　Fast fading　44610.3　Downlink with multiple transmit antennas　44810.3.1　Degrees of freedom in the downlink　44810.3.2　Uplink–downlink duality and transmit beamforming　44910.3.3　Precoding for interference known at transmitter　45410.3.4　Precoding for the downlink　46510.3.5　Fast fading　46810.4　MIMO downlink　47110.5　Multiple antennas in cellular networks： a system view　473Summary 10.3 System implications of multiple antennas on multiple access　47310.5.1　Inter-cell interference management　47410.5.2　Uplink with multiple receive antennas　47610.5.3　MIMO uplink　47810.5.4　Downlink with multiple receive antennas　47910.5.5　Downlink with multiple transmit antennas　479Example 10.1 SDMA in ArrayComm systems　479Chapter 10 The main plot　48110.6　Bibliographical notes　48210.7　Exercises　483Appendix A　Detection and estimation in additive Gaussian noise　496Appendix B　Information theory from first principles　516References　546Index　554

章节摘录

　　Consider the baseband uplink signal of a user given in (4.1). Due to the abrupttransitions (from + 1 to -1 and vice versa) of the pseudonoise sequences s,,,the bandwidth occupied by this signal is very large. On the other hand, thesignal has to occupy an allotted bandwidth. As an example, we see that the IS-95 system uses a bandwidth of 1.2288 MHz and a steep fall off after 1.67 MHz.To fit this allotted bandwidth, the signal in (4.1) is passed through a pulseshaping filter and then modulated on to the carrier. Thus though the signal in(4.1) has a perfect PAPR (equal to 1), the resulting transmit signal has a largerPAPR. The overall signal transmitted from the base-station is the superpositionof all the user signals and this aggregate signal has PAPR performance similarto that of the narrowband system described in the previous section.In the narrowband system we saw that all users can maintain high SINRdue to the nature of the allocations. In fact, this was the benefit gained bypaying the price of poor (re)use of the spectrum. In the CDMA system,however, due to the intra and inter-cell interferences, the values of SINR possible are very small. Now consider sectorization with universal frequency reuse among the sectors. Ideally (with full isolation among the sectors), this allows us to increase the system capacity by a factor equal to the number of sectors. However, in practice each sector now has to contend with inter-sector interference as well. Since intra-sector and inter-cell interference dominate the noise faced by the user signals, the additional interference caused due to sectorization does not cause a further degradation in SINR. Thus sectors of the same cell reuse the frequency without much of an impact on the performance. We have observed that timing acquisition (at a chip level accuracy) by a mobile is a computationally intensive step. Thus we would like to have this step repeated as infrequently as possible. On the other hand, to achieve soft handoff this acquisition has to be done (synchronously) for all base-stations with which the mobile communicates. To facilitate this step and the eventual handoff, implementations of the IS-95 system use high precision clocks (about　1 ppm (parts per million)) and further, synchronize the clocks at the base-　stations through a proprietary wireline network that connects the base-stations.　This networking cost is the price paid in the design to ease the handoff process.

媒体关注与评论

　　“Tse和viswanath将通信技术的理论发展和实际应用完美结合在本书中。本书必将成为业　界经典教材和权威参考。”　　——Robert G.Gallager教授，麻省理工学院　　“David Tse和Pranlod viswanath为现代无线通信撰写了一部经典著作！本书覆盖无线系　统设计基础以及无线通信领域最新进展，不仅是高校通信专业理想教材，而且是无线工　程领域工程技术人员的理想指南！”　　——Roberto Padovani博士，高通公司CTo

编辑推荐

　　《无线通信基础(英文版)》由人民邮电出版社出版。《无线通信基础(英文版)》是一部杰出的无线通信著作：作者从一个比较高的层次、用系统的观点总结现有通信技术，并用信息论的观点诠释了近年来比较热门的MlMO、0FDM、机会通信、多用户通信等技术，着重强调概念及其在系统中的实现之间的内在联系和相互影响深刻的工程理解、理论远景和系统实践的完美结合，使《无线通信基础(英文版)》不仅成为普林斯顿大学和加州大学伯克利分校等世界众多高校的教材，也被高通等世界级通信公司用于工程师内部培训《无线通信基础(英文版)》是高等院校通信和电气信息相关专业高年级本科生裥研究生教材，是无线通信领域工程技术人员必备参考书。