Key Technologies for 5G Wireless Systems
5G无线通信系统关键技术（剑桥大学出版社） 2017年出版 对于5G所有最新技术进行了详细说明 很全的工具书Key Technologies for5G Wireless SystemsVINCENT W. S, WONGUniversity of British ColumbiaROBERT SCHOBERUniversity of Erlangen-NurembergDERRICK WING KWAN NGUniversity of New South WalesLI-CHUN WANGNational Chiao-Tung University即CAMBRIDGEUNIVERSITY PRESSCAMBRIDGEUNIVERSITY PRESSUniversity Printing House. Cambridge CB2 SBS. United KindomOne Liberty Plaza, 20h Floor New York, NY I(H0X, USA477 williamstown Road, port Melbourne, yic 3207 australia48424, 2nd Floor, Ansar Rod, Daryaganj. Delhi- I l4XH2, India79 Anson Road, #o6-(/ 00, Singapore 079%MCambridge University Press is part of the Lniversity of CambridgeIt furthers the University s mission by disseminating knowledge in the pursuit ofeducation, leaming and research at the highest international levels of excellence.www.cermbrid吧eInformtiononthistitlewww.cambridgeorg/978110713241810,1017③781316771655C Cambridge University Press 2017This puhlication is in copyright. Subjcct to sututonry exceptionand to the provisions of relewant collective licensing agreementsno reproduction of any part may take place without the writtenpermission of Cutmbridgre University Press.First published 2(117Printed in the United Kingdom by TJ International Ltd. Padstow, CornwallA catalogue recor for this pudlieafiove is aailable fromm the British LibraryLibrary of Congress Cataloging- in Pi hlicaiomz dataNames: Wong, Vincent W.S., editorTitle: Key technologies for 5G wireless systems/edited by Vincent W.S. Wong [and 3 otherOther titles key technologies for five g wireless svstemsDescription: Carmbrisige: New York, NY: Cambridge Lniversity Press, 2017.Identifiers: l CCN 2016045220)1 ISBN 9781 172418 (hardback)Subjects: LCSH: Wireless communication systems, I Machine-to-machinecommunications. Internet of things.Classitication: LCC TKs1032K49 2(17 DDC 621.38450-dc23LcrecordavailaBleathttps://lccnioc-gov/2016m5220)ISBN 978-1-107-17241- HardbackCambridge University Press has no responsibility for the persistence or accuracy ofURLs for extermal or third-party Internet websites referred to in this puhlication,and does not guarantee that any content on such websites is, or will remainaccurate of appropriateContentsList of Contributorspage xvIPrefaceKXIOverview of New Technolog ies for 5G SystemsVincent W S, Wong, Robert Schober, Derrick Wing Kwan Ng, and Li-Chun Wang1.1 Introduction1.2 Cloud Radio Access Networks1.3 Cloud Computing and Fog Computing1. 4 Non-orthogonal Multiple Access1. 5 Flexible Physical Layer Design334.4671. 6 Massive MIMo1. 7 Full-Duplex Communications1. 8 Millimeter wave1.9 Mobile Data Offloading, LTE-Unlicensed, and Smart Data Pricing131. 10 IoT M2M. and D2D1. I1 Radio Resource Management, Interference Mitigation, and Caching61. 12 Energy Harvesting Communications1. 13 Visible Light Communication19Acknowledgments20ReferencesPart I Communication Network Architectures for 5G Systems25Cloud Radio Access Networks for 5G Systems27Chih-Lin I, Jinn Huang, Xueyan Husang, Rongwved Ren, and Yami. Chen2.1 Rethinking the Fundamentals for 5G Systems272 User- Centric Networks2923 C-RAN Basics292.3.1 C-RAN Challenges Toward SGI302.4 Next Generation Fronthaul Interface (NGFI: The FH Solutionfor SGC-RAN312. 4.1 Proof-of-Concept Development of NGFI33Contents2.5 Proof-of-Concept Verification of Virtualized C-RAN2.5.1 Data packets3725.2 Test Procedure382.5.3 Test Results392. 6 Rethinking the Protocol Stack for C-RAN2.6.1 Motivation402.6.2 Multilevel Centralized and Distributed Protocol Stack402.7 Conclusion45AcknowledgmentsReferencesFronthaul-Aware Design for Cloud Radio Access Networks48Liang Liu, Wei Yu, and Osvaldo Simeone3. 1 Introduction483.2 Fronthaul-Aware Cooperative Transmission and Reception493. 2.1 Uplink513.2.2 Downlink573.3 Fronthaul-Aware Data Link and Physical layers61.3. I Uplink633.3.2 Downlink693.4 Conclusion73Acknowledgments74References74MobEdge computing76Ben Liang4.1 Introduction764.2 Mobile Edge Computing774.3 Reference architecture794.4 Benefits and Application Scenarios804 4.1 User-Oriented Use cases4. 4.2 Operator-Oriented Use Ca814 5 Research challenges824.5.1 Computation Offloading824.5.2 Communication Access to Computational Resources834.5.3 Multi-resource Schedulin844.5 4 Mobility Management854.5.5 Resource Allocation and Pricing4.5.6 Network functions virtualization864.5, 7 Security and Pri864.5.8 Integration with Emerging Technologies874.6 Conclusion88ReferencesContentsDecentralized Radio Resource Management for Dense HeterogeneousWireless networksAbolfazl Mehhodniya and Fumiyuki Adach5.1 Introduction925.2 System Model935.2.1 SINR Expression5.2.2 Load and Cost Function Expressions955.3 Joint BSCSA/UECSA ON/OFF Switching Scheme965.3.1 StrateTy Selection and Beacon Transmission53.2 UE AssocIation5.3.3 Proposed Channel Segregation Algorithms985.3.4 Mixed-Strategy Update3.4 Computer Simulation5.5 Conclusion104Acknowledgments04References105Part ll Physical Layer Communication Techniques107Non-Orthogonal Multiple Access(NOMA)for 5G Systems109Wei Llang, Zhiguo Ding, and H. Vincent Poor6.1 Introduction1106.2 NOMA in Single-Input Single-Output(SISO)Systems1126.2.1 The basics of nomaI126. 2. 2 Impact of User Pairing on NOMA136.2,3 Cognitive Radio Inspired NOMA6. 3 NOMA in MIMO Systems1206.3.1 System Model for MIMO-NOMA Schemes1216.3.2 Design of Precoding and Detection Matrices with Limited CSIT 1236.3.3 Design of Precoding and Detection Matrices with Perfect CSIT 1266.4 Summary and Future Directions128ReferencesFlexible Physical Layer Design133Maximilian Matthe, Martin Danneberg, Dan Zhang, and Gerhard Fettweis7.1 Introduction1337. 2 Generalized Frequency Division Multiplexing357.3 Software-Defined waveform1377. 3. 1 Time Domain Processing1387.3.2 Implementation Architecture1387.4 GFDM Receiver Design14174 Synchronization unit1427. 4.2 Channel Estimation Unit1474.3 MIMo-GFDM Detection Unit145Contents7.5 Summary and Outlook147Acknowledgments148References488Distributed Massive MIMO in Cellular Networks15IMichail Matthaiou and Shi Jin8. I Introduction15l8. 2 Massive MIMO: Basic Principles1528.2.1 Uplink Downlink Channel Models1538.2.2Favorable Propagation1548.3 Performance of Linear Receivers in a Massive MIMO Uplink1548.4 performance of linear precoders in a massive mimo downlink1578. s Channel estimation in massive mimo systems1588.5.1 Uplink Transmission1598.5.2 Downlink Transmission1608.6 Applications of Massive MIMO Technology1618.6.1 Full-Duplex Relaying with Massive Antenna Arrays1618.6.2 Joint Wireless Information Transfer and Energy Transfer forDistributed massive mimo1638.7 Open Future Research Directions1678. 8 Conclusionl68References169Full-Duplex Protocol Design for 5G Networks172Tanelf Ahonen and Risto wichman9.1 Introduction1729. 2 Basics of Full-Duplex Systems1739.2.1 In-Band Full-Duplex Operation Mode1739.2.2 Self-Interference and Co-channel Interference1749.2.3 Full-Duplex Transceivers in Communication Links1759. 2. 4 Other Applications of Full-Duplex Transceivers1789.3 Design of Full-Duplex Protocols1799.3, 1 Challenges and Opportunities in Full-Duplex Operation1799.3.2 Full-Duplex Communication Scenarios in 5G NetworksR9.4 Analysis of Full-Duplex Protocols1829.4.1 Operation Modes in Wideband Fading Channels1829. 4, 2 Full- Duplex Versus Half-Duplex in Wideband Transmission1849.5 Conclusion1849.5.1 Prospective Scientific Research DirectionsI849.5.2 Full-Duplex in Commercial 5G Networks185RLItrtncekl8610Millimeter Wave Communications for 5G Networks188Jiho Song, Miguel R Castellanos, and David J. LoweContentsⅸx10.1 Motivations and Opportunities18810.2 Millimeter Wave Radio Propagation18910. 2.1 Radio Attenuation1890. 2. 2. Free-Space Path LOSs19I10.2.3 Severe shadow19310.2 4 Millimeter Wave Channel model19310.2.5 Link Budget Analysis19410.3 Beamforming Architectures19510.3, Analog beamforming solutions19610.3.2 Hybrid Beamforming Solutions20010.3.3 Low-Resolution Receiver Architecture2010.4 Channel Acquisition Techniques20110.4.1 Subspace Sampling for Beam Alignment20210.4.2 Compressed Channel estimation Techniques20510.5 Deployment Challenges and Applications20710.5.1 EM Exposure at Millimeter Wave Frequencies20710.5.2 Heterogeneous and Small-Cell Networks208Acknowledgments209References209Interference Mitigation Techniques for Wireless Networks214Koralia N Pappi and George K, Karag annidis1 1.1 Introduction21411.2 The Interference Management Challenge in the 5G vision21411. 2. 1 The 5G Primary Goals and Their Impact on Interference2141 1.2.2 Enabling Technologies for Improving Network Efficiencyand Mitigating Interference21611.3 Improving the Cell-Edge User Experience: Coordinated Multipoint218I 1.3.1 Deployment Scenarios and Network Architecture2181 13. 2 CoMP Techniques for the Uplink22011.3.3 CoMP Techniques for the Downlink2211 1.4 Interference Alignment: Exploiting Signal Space Dimensions2231 1.4.1 The Concept of Linear Interference Alignment224L1. 4.2 The Example of the X-Channel225I 1. 4.3 The K-User Interference Channel and Cellular NetworksAsymptotic Interference Alignment22611.4.4 Cooperative Interferenee Networks22711.4.5 Insight from IA into the Capacity Limits of Wireless Networks 22711.5 Compute-and-Forward Protocol: Cooperation at the ReceiverSide for the Uplink22811.5.1 Encoding and Decoding of the CoF Protocol22811.5.2 Achievable-Rate Region and Integer Equation Selection23011.5.3 Advantages and Challenges of the CoF Protocol232IL6 Conclusion233References233
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《数字信号处理C语言程序集》 殷福亮 宋爱军
一本非常有用的书：数字信号处理C语言程序集,作者 殷福亮，宋爱军。清晰、完整。网上提供的有些版本残缺不全，存在漏页的情况，我上传的这个经仔细检查，不存在类似问题。本书内容十分丰富，紧贴工程应用实际，非常实用。提供了大量的函数及其源代码，利于读者参考。实在是不可多大的一本好书，你值得拥有！本书的具体内容不在此赘述，大家很容易百度得到的。图书在版编目(CIP)数据数字信号处理C语程序集/殷福亮、宋爱乍主编,-沈阳:辽宁科学学技术出版社,1997.7ISBN7-5381-25213数殷…Ⅲ.C语言-数学信号-信号处理应用程序Ⅳ.TN没1.72中国版本图书馆CIP数据核字(97)第03286号辽宁科学技术出版社出版沈阳市和平区北马路1(8号邮政编码110001)地方国营新民印刷总厂印刷新华书店北京发行所发开本:787×10921/16印张:28字数:710.0001997年7月第1版1997年7月第1次印刷责任编辑:马旭东版式设计:于浪封面设计;邹君文责任校对:东戈印数:15,0(0定价:30.00元目录第一篇常用数字信号的产生第一章数字信号的产生§1.1均匀分布的随机数baaa‘·aa·a··‘s4···‘44‘4··44·····4··-···§1.2正态分布的随机数…§1.3指数分布的随机数…………·······◆÷·············:§1.4拉普拉斯( Laplace)分布的随机数单·鲁。非号。非●着鲁鲁导●·。香§1.5瑞利( Rayleigh)分布的随机数……………………………………9§1.6对数正态分布的随机数………:11§L.7柯西( Cauchy)分布的随机数………·…·.13§1.8韦伯( Weibul)分布的随机数……15§1.9爱尔朗( Erlang)分布的随机数………………17§1.10贝努里( Bernoulli1)分布的随机数………●看鲁ψ鲁曹●自●喜鲁。由看看自命曲D自看19§1.11贝努里高斯分布的随机数·●中·······甲§1.12二项式分布的随机数……§1.13泊松( Poisson)分布的随机数§1·14ARMA(pq)模型数据的产生命●·p·看D●·看·。普。··●曲也。b§1.15含有高斯白噪声的正弦组合信号的产生…………§1.16解析信号的产生………35第二篇数字信号处理第一章快速傅立叶变换…"39§1.1离散傅立叶变换……§1.2快速傅立叶变换鲁鲁··音····着·D。·协。中·咖4卡4●音备·由画口省画曲命··44§1.3基4快速傅立叶变换………●4bb●■·即·●··。···鄂甲,银●看§1.4分裂基快速傅立叶变换………………………………57§1·5实序列快速傅立叶变换(-)….°°··.·····“···。61§1.6实序列快速傅立叶变换(二)……§1.7用一个N点复序州的FFT同时计算两个N点实序列离散傅立叶变换…。b自4血者b自晶。aa·70§I.8共轭对称序列的快速傅立叶反变换73§1.9紊因子快速傅立叶变换…………………………………………80§1.10 Chirp乙-变换算法…………………………………96第二章快速离散正交变换…§2.1快速哈特莱( Hartley)变换…………………………§2.2基4快速哈待莱( Hartley)变换§2.3分裂基快速哈特莱( Hartley)变换…§2.4快速离散余弦变换……15§2.5快速离散余弦反变换…………····自··非·中中····曹...·.118§2.6N=8点快速高散余弦变换·······…··…·121§27N=8点快速离散余弦反变换●鲁鲁·香垂香●鲁§28快速离散正弦变换…………………………129§2.9快速沃尔什( Walsh)变换…133§2.10快速希尔伯特变换(一)………………鲁·鲁音辛章·看·争●·●自章·自··137§2.11快速希尔伯特变换(二)…141第三章快速卷积与相关§3.1快速卷积………………………144§3.2长序列的快速卷积……………………147§33特别长序列的快速卷积…中4·鼻●………………∵"……152§3.4快速相关…………………………………………………158第四章数字滤波器的时城和频域响应…………16341数字滤波器的频率响应b●4,4看香·……163§4.2级联型数字滤波器的频率响应………………………166s4.3数字滤波器的时域响应171§4.4直接型IR数字滤波(一)………………………………174§4.5直接型IR数字滤波(二)…………177§4.6级联型IR数字滤波§4.7并联型IR数字滤波…………………………………………185第五章IR数宇滤波器的设计………………………………189§5.1巴持沃兹和切比雪夫数字滤波器的设计……◆香音非杳D,看看§5.2任意幅庋IR数字滤波器的优化设计……………………………2082第六章FIR数字滤波器的设计……………………………227§6.1窗函数方法………………………………………227§6.2频域最小误差平方设计………238§6.3切比雪夫通近方法…………………………………242第三篇随机数字信号处理第一章经典谱佔计···:·a4a命a4264§1.1功率谱估计的周期图方法264§1.2功率谱估计的相关方法………………………………………271第二章现代谱佔计隐自·音鲁章自●·●4鲁自费●●看§2.1求解一般托布利兹方程组的莱文森算法……………………280§2.2求解对称正定方程组的乔里斯基算法…83§2.3求解尤利沃克方程的莱文森德宾算法§2.4计算ARMA模型的功率谱密度……………………………….289§2.5尤利沃克谱估计算法…………292§2.6协方差谱估计算法.·…·…297§2.7Burg谱估计算法30§2.8最大似然谱估计算法鲁t···章·。看e308第三章时频分析………….314§3.1维格纳( wigner)分布……………◆鲁毋■章鲁·●●·●非b曲。島曲…314§3.2离散小波变换…318第四章随机信号的数字滤波330§41维纳( Wiener)数字滤波…唱·喜非最330§42卡尔曼( Kalman)数字滤波…·。··●··命···◆··命·335§4.3最小均方(LMS)自适应数字滤波………341§44归一化LMS自适应数字滤波344§4.5递推最小二乘(RLS)自适应数字滤波……………………348第四篇数字图像处理第一章图像基本运算………………ss"sss352§1·1图像读取、存储与显示…§1.2图像旋转….·····鲁具··。366§1.3图像灰度级直方图的计算…………368§1.4图像二值化的固定阀值法…1.5图像二值化的自适应阀值法…·中··看辛中·鲁音·甲●·372第二章图像增强-………376§2.1图像直方图均衡…………………………376§2.2中值滤波香看春·鲁自。看●··….·········色·.···B···378§2.3图像锐化······.···········世·D“·中·中···中·;··容e·咱要382§2.4图像平滑………………………………………………………………383第三章图像边缘检测辛b鲁卡鲁中●●·§31 Roberts算子边缘检测“····.…·386§3.2拉普拉斯算子边缘检测…………………………………388§3.3 Sobel算子边缘检测………§3.4 Robinson算子边缘检测………………………392§3.5 Kirsch算子边缘检测…鲁鲁·看§3.6 Prewitt算子边缘检测第四章图像细化……………………………………………139§4.1 Hilditch细化算法看●看非。●命D看鲁●●;·着●画399§4.2 Pavlidis细化算法qq··中····.404§4.3 Rosenfeld细化算法………第五篇人工神经网络第一章神经网络模型……·…·…"·416§1.1多层感知器神经网络………………………………………………416§1.2离散 Hopfield神经网络……………………………………425§1.3连续 Hopfield神经网络……。辛b4··吾。自司b命°…·434§1.4Tank- Hopfield线性规划神经网络参考文献…●●●电·单·4是p中······鲁s自····4·●……………”442第一篇常用数字信号的产生第一章数字信号的产生§1.1均匀分布的随机数功能产生(a,b)区间上均匀分布的随机数、方法简介均匀分布的概率密度函数为,a≤x≤b0,其它通常用U(2)表示,均匀分布的均值为+2,方差为(b2产生均匀分布随机数的方法如下:首先,由给定的初值x,用混合同余法ai=(ai-1+ c)(mod M)产生(0,1)区间上的随机数y。其中a=2045,c=1,M=20;然后,通过变换x;=a(b-a)y产生(ab)区间上的随机数z三、使用说明1.子函数语句double uniform (a.b. seed)2.形参说明a—双精度实型变量。给定区间的下限。b—双精度实型变量。给定区间的上限seed—长整型指针变量。*seed为随机数的种子。四、子函数程序(文件名: uniform.c)double uniform (a, b, seed)ouble ai doubled=2045兴(兴seed)+1Seed=关seed一(兴seed/1048576)为1048576;t=(兴seed)/1048576.0;t=a-(beturn (t)五、例题产生50个0到1之间均匀分布的随机数。主函数程序(文件名: uniform.m):#include " stdio. h# includi double a, bngdouble uniform(double, double, long int *a=0.0;b-1.0;s=13579for(i=0;
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