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
- 2020-12-06下载
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MIKE21教程
不错的MIKE21中文教程，主要介绍MIKE21水动力模块方面的内容Www.Zlvo.Com42.7风场( Wind forcing)···;;;·36注意:42.8冰盖( ce coverage)4.2.9引潮势( Tidal potential)42.10降水-蒸发( Precipitation- Evaporation)….4142.1波浪辐射应力( Wave radiation)424212源( Sources4342.13水工结构物( Structures)454.2.14初始条件( nitial conditions)42.15边界条件( Boundary conditions)6142.16温度/盐度模块(Tcmpcraturc/Salinity Module)6742.17湍流模块( Turbulence module)42.8解耜( Decoupling)….…6742.9输出( Outputs)…特别说明:本手册部分内容来源于网络。Www.Zlvo.Com第一章模型介绍11简介MIKE21是一个专业的工程软件包,用于模拟河流、湖泊、河口、海湾、海岸及海洋的水流、波浪、泥沙及环境。MIKE21为工程应用、海岸管理及规划提供了完备、有效的设计环境。高级图形川户界面与高效的计算引擎的结合使得MIKE2I在世界范围内成为了一个水流模拟专业技术人员不可缺少的工具。丹麦水力研究所开发的平面二维数学模型MIKE21,曾经在丹麦、埃及、澳洲、泰国及中国香港、台湾等国家和地区得到成功应用,在丬面二维白由表面流数值模拟方面具有强大的功能。目前该软件在中国的应用发展很快,并在一些大型工程中广泛应用,如:长江口综合治理工程、杭州湾数值模拟、南水北调工程、重庆市城市排污评价、太湖富营养模型、香港新机场工程建设等。12MIKE21软件特点(1)用户界面友好,属于集成的 Windows图形界面;(2)具有强大的前、后攵理功能。在前处理方面,能根据地形瓷料进行计算网格的划分;在后处理方面具有强大的分析功能,如流场动态演示及动画制作、计算断面流量、实测与计算过程的验证、不同方案的比较等;(3)多种计算网格、模块及许可选择确俫用户根据自身需求来选择模型(4)可以进行热启动,当用户因各种原因需暂时中断MIKE21模型时,只要在上次计算时设置了热启动文件,再次开始计算时将热启动文件调入便可继续计算,极大地方便了计算时间有限制的用户;(5)能进行干、湿节点和干、湿单元的设置,能较方便地进行滩地水流的模拟:(6)具有功能强大的卡片设置功能,可以进行多种控制性结构的设置,如桥墩、堰、闸、涵洞等(7)可广泛地应用于二维水力学现象的研究,潮汐、水流,风暴潮,传热、盐流,水质,波浪紊动,湖震,防浪堤布置,船运,泥沙侵蚀、输移和沉积等,Www.Zlvo.Com被推荐为河流、湖泊、河∏和海岸水流的二维仿真模拟工具。1.3水动力模块原理131控制方程模型是基于三向不可压缩和 Reynolds值均布的 Navier-SLokes方程,并服从于 Boussinesq假定和静水压力的假定。二维非恒定浅水方程组为Ch Chu chvhSChu ahauvan h6x+=1-a=欧h-a(1-22pa ax po po ph)+-(h12)+hu,Schv chuy chvfuh-ghan h apay po aygh ap2 Po ay Po po po、ax11)+hS式中:t为时间:x,y为笛卡尔坐标系坐标;n为水位;d为静止水深;h=n+d为总水深;tn,v分别为x,y方向上的速度分量;f是哥氏力系数,f=2 osin p,(为地球白转角速度,为当地纬度;g为重力加速度;p为水的密度;Sx、SS分别为辐射应力分量;S为源项;(uy,ν)为源项水流流速。字母上带横杠的是平均值。例如,矿、ν为沿水深平均的流速,由以下公式定义hu= udz, hvdzWww.Zlvo.Com为水平粘滞应力项,包括粘性力、紊流应力和水平对流,这些量是根据沿水深平均的速度梯度用涡流粘性方程得出的:T=2A2A13,2数值解法)空间离散计算区域的空间离散是用有限体积法( Finite volume method),将该连续统体细分为不重叠的单元,单元可以是任意形状的多边形,但在这里只考虑三角形和四边形单元。在MKE软件2007版本只能是三角形网格。浅水方程组的通用形式一般可以写成上(U)=S(U)(1-6)式中:U为守恒型物理向量:F为通量向量;S为源项在笛卡尔坐标系中,二维浅水方程组可以写为OU O(F-F)O(FY-Fy)S(1-7)式中:上标/和分别为无粘性的和粘性的通量。各项分别如下:0hCu+g(FhuyOu Cha0Fk=lhAolhugh42Www.Zlvo.Comadh2thPu cy Pogn+fuhpe gn opythiPo oy Po对方程(46)第i个单元积分,并运用 Gauss原理重写可得出「a(Fa)-JA(1-9)式中:A1为单元g2的面积;I;为单元的边界;ds为沿着边界的积分变量这里使用单太求积法来计算面积的积分,该求积点位于单元的质点,同时使用中点求积法水计算边界积分,方程(49)可以写为∑FnAT=S(1-10)式中:U和S分别为第个单元的U和S的平均值,并位于单元中心;NS是单元的边界数;^厂,为第j个单元的长度阶解法和二阶解法都可以用于空间离散求解。对于二维的情况,近似的Riemann解法可以用来计算单元界面的对流流动。使用Roc方法时,界面左边的和右边的相关变量需要估计取值。二阶方法中,空间准確度可以通过使用线性梯度重构的技术来获得。而平均梯度可以用由 jawahar和 Kamath于2000年提出的方法来估计,为了避免数值振荡,模型使用了二阶TVD格式。(2)时间积分考虑方程的一般形式aU=G(U)1-11)对于二维模拟,浅水方程的求解有两种方法:一种是低阶方法,另一种是高阶方法。低价方法即低阶显式的Euer方法Un1=Un+△G(Un)(1-12)式中:为时间步长。高阶的方法为以如下形式的使用了二阶的 Runge kuttaWww.Zlvo.Com方法n12=Un+△G(U,)Un+1=Un+△G(Un+12)(1-13)(3)边界条件1)闭合边界沿着闭合边界(陆地边界),所有垂直于边界流动的变量必须为0。对于动量方程,可以得知沿着陆地边界是完全平稳的。2)开边界开边界条件可以指定为流量过程或者是水位过程3)千湿边界处理动边界问题(T湿边界)的方法是基于赵棣华(1994)和 Sleigh(1998)的处理方式。当深度较小时,该问题可以被重新表述,通过将动量通量设置为零以及只考恳质量通量来实现。只有当深度足够小时,计算不考虑该网格屮元。每个单元的水深会被监测,并且单元会被定义为干、半干湿和湿。单元面也会被监测,以确定淹没边界。满足下面两个条件单元边界被定义为淹没边界:首先单元的一边水深必须小于hn,且另一边水深必须大于h;第二,水深小于hn的单元的静水深加上另一单元表面高程水位必须大于零。满足下亩两个条件单元会被定义为干单元:首先单元中的水深必须小于干水深hn;另外,该单元的三个边界中没有一个是淹没边界。被定义为干的单元在计算中会被忽略不计。单儿破定义为半干:如果单元水深介于h和hm之间,或是当水深小于hy但有一个边界是淹没边界。此时动量通量被设定为0,只有质量通量会被计算。单元会被定义为湿:如果单元水深大于ha。此时动量通量和质量通量都会在计算中被考虑。如果模型中的区域是处在τ湿边交替区,为了避免模型计算岀现不稳定性,使用者可以启用 Flood and Dry选项。在这个情形下使用者必须设定一个干水深Www.Zlvo.Com( drying depth),淹没深度( flooding water depth)和湿水深( wetting depth)者必须满足hn
- 2020-12-09下载
- 积分：1
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