基于MIMO无线通信系统的跨层设计研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着全球移动用户数量的迅速增加,以及高速率、宽带无线业务量的增长,无线业务的需求与有限的无线资源之间的矛盾日益突出。目前,无线通信系统中亟待解决的问题,即是在有限的频谱资源上传输大容量、高速率的无线数据业务,需要频谱效率极高的技术,来满足人们对信息需求的急剧增长。多输入多输出(MIMO)充分开发空间资源,利用多个天线实现多发多收,在不需要增加频谱资源和天线发送功率的情况下,可以成倍地提高信道容量和频谱效率,成为下一代无线通信系统的关键技术之一。
     尽管传统分层设计方法在有线网络中取得巨大的成功,但因各层相互独立,难以灵活适应无线网络的变化,无法有效利用有限频谱资源。而近年提出的跨层设计方法,因可充分利用网络各层的相关性,灵活地适应无线网络环境的动态变化,实现自适应优化配置和合理分配资源,已成为无线通信系统的研究热点。本文主要围绕着MIMO无线通信系统和跨层设计理论两方面展开深入的研究,并分别提出了基于单用户系统,多用户系统和协作传输系统的跨层设计方案。
     论文首先概述MIMO技术和跨层设计,阐述本文的研究背景及意义,分析MIMO无线通信系统和跨层设计及相关技术的国内外研究现状。然后,针对该领域的关键技术,从以下四个方面进行研究:
     1、单用户多天线系统中,研究一种闭环多天线跨层设计方案CL-MRC,并分析了反馈信道存在时延对系统性能的影响,推导了频谱效率和中断概率的闭合表达式;
     2、基于CL-MRC实现较复杂,研究一种单用户下多发一收的闭环跨层设计方案CL-MBF,并考虑时延情况下,对比了CL-MRC与CL-MBF的性能;
     3、将单用户下的两种跨层方案,引入到多用户中,结合“贪婪调度”策略,在多天线和多用户分集共同作用下,形成基于多用户的跨层方案MCL-MRC和MCL-MBF,同样在时延情况下,分析并对比了两种跨层方案的系统性能;
     4、在虚拟MIMO协作系统中,研究了CCL跨层方案和Seleetive-CCL跨层方案,并分别从链路是独立同分布和独立不同分布两方面,来讨论系统性能。
     针对以上方案和算法研究,通过MatLab进行深入的实验研究,实验结果表明了所提出CL-MRC,CL-MBF,MCL-MRC,MCL-MBF,CCL和Selective-CCL跨层方案的系统性能对比原系统有明显的改善。
     综上所述,本文的研究成果对于无线MIMO通信系统的性能研究领域,有一定的理论意义和应用价值。
With the rapid growth in the number of mobile phone users in the whole world, and the increase in high rate and wideband wireless business volume, the contradiction between wireless communication service requirements and limited wireless resources becomes increasingly conspicuous. At present, in wireless communication system, the first problem to be solved is that high-capacity and high-rate wireless data flow transmitted in limited frequency spectrum resources, requires the key technology with higher spectral efficiency, in order to satisfy more needs from men. Multiple-input multiple-output (MIMO) takes full advantage of space resources, and becomes one of the key technologies for next generation wireless communication system. And MIMO achieves multiple-transmit multiple-receive using muti-antennas and results in that channel capcity and spectral efficiency are doubled, while not increasing frequency spectrum resources and antenna transmit power.
     Although achieving a great success in the wired networks, traditional layered design with independent protocol layers doesn't adapt to variable wireless networks, and results in not making effective use of limited spectral efficiency. However, cross-layer design method proposed in recent years, utilizes the relativity among network's protocol layers, and can adapt to dynamic variation of wireless network, obtaining adaptive optimal configure and rational resources allocation. Now, cross-layer design becomes a hot research topic for wireless communication system. In this dissertation, we study on the cross-layer design theory for MIMO wireless communication system, and cross-layer design schemes based on single-user system, multi-user system and cooperative transmission system are proposed.
     In this dissertation, firstly, we introduce the technology of MIMO and cross-layer design, the background and meaning of this dissertation, and analyze research situation for MIMO, cross-layer design and some related technologies. Secondly, for the key technologies of current reseach, we will open the floor for discussion from the follwing four aspects:
     1. In single-user multi-antenna system, a closed-loop multi-antenna cross-layer design scheme CL-MRC is proposed, analyze the impact of delayed feedback on the system performance, and derive the closed-form for the spectral efficiency and outage of probability;
     2. Due to complicated for CL-MRC, a simple cross-layer design scheme with only one receive antenna for single-user system, named CL-MBF is proposed, and analyse and compare the performances between CL-MRC and CL-MBF;
     3. Bringing two cross-layer schemes of single-user system into muti-user system, utilizing "greedy schedule" strategy, and two cross-layer schemes MCL-MRC and MCL-MBF are formed based on multi-user system with multi-antenna diversity and multi-user diversity, and then analyze and compare the performances between MCL-MRC and MCL-MBF under outdated feedback;
     4. In virtual MIMO cooperative system, CCL cross-layer scheme and Selective-CCL cross-layer scheme are proposed, and discuss the system performances for I.I.D and Non-I.I.D separately.
     For the new protocols and algorithms mentioned above, the simulation experiments are carried out based on MatLab, the experimental results confirm compared to original system, the system performance of CL-MRC, CL-MBF, MCL-MRC, MCL-MBF, CCL and Selective-CCL cross-layer scheme are all improved.
     In conclusion, research findings in the dissertation are of profound theoretical significance and practical application purpose for the study on the performance of wireless MIMO communication.
引文
[1]Alamouti S M.A simple transmitter diversity scheme for wireless communications.IEEE J.Select.Areas Commu,1998,16:1451-1458.
    [2](美)艾里克G 拉森,(瑞典)彼得斯托卡著,任品毅译.无线通信中的空时分组编码.西安:西安交通大学出版社,2006.
    [3](澳)Branka Vucetic,Jinhong Yuan著,王晓海译.空时编码技术.北京:机械工业出版社,2004.
    [4]Liu L,Jafarkhani H.Application of quasi-orthogonal space-time block codes in beamforming.IEEE Trans.Signal Processing,2005,53:54-63.
    [5]Zhou S,Giannakis G B.Adaptive modulation for multiantenna transmissions with channel mean feedback.IEEE Trans.Wireless Commun.,2004,3(5):1626-1636
    [6]Tarokh V,Jafarkhani H A R.Calderbank.Space-time block codes from orthogonal designs.IEEE Trans.Inf.Theory,1999,45(5):1456-1467.
    [7]Maaref A,Aissa S.Performance Analysis of Orthogonal Space-Time Block Codes in Spatially Correlated MIMO Nakagami Fading Channels.IEEE Trasactions on wireless commtmications,2006,5(4):807-817.
    [8]Sandhu S,Paulraj A.Space Time Block Codes:A Capacity Perspective.IEEE Communications Letrers.2000,4(12):384-386
    [9]Zheng L,Tse D.Diversity and multiplexing:A fundamental tradeoff in multiple antenna channels.IEEE Trans.Inform.Theory,2003,49(5):1073-1096
    [10]Zhou Zhendong,Vucetic Branka.Dohler Mischa et.al.MIMO systems with adaptive modulation.IEEE Transactions on Vehicular Technology,2005,54(5):1828-1842.
    [11]Paris Jose F,Goldsmith A J.Adaptive modulation for MIMO multiplexing under average BER constraints and imperfect CSI.2006 IEEE International Conference on Communications,2006,3:1318-1325.
    [12]Gesbert David,Kountouris Marios.Shitting the MIMO Paradigm:from single-user to multiuser communications.IEEE signal processing magazine,2007:36-46.
    [13]Love D J,Heath R W.Equal gain transmission in multiple input multiple-output wireless systems.IEEE Trans.Commun.,2003,51:1102-1110.
    [14]Vineet Srivastava,Mehul Motani.Cross-Layer Design:A Survey and the Road Ahead.IEEE Communications Magazine,2005,12:112-119.
    [15]Liu Qing-wen,Zhou Sheng-li,Giannakis Georgios B.Cross-Layer combining of adaptive modulation and coding with truncated ARQ over wireless link.IEEE Transactions on wireless communications,2004,3:1746-1755.
    [16]Maaref A.,Aissa S.A Cross-layer Design for MIMO Rayleigh Fading Channels,in Proc.IEEE Canadian Conference on Electrical and Computer Engineering(CCECE'04),Niagara Falls,Canada,2004,4:2247-2250.
    [17]Xia P,Zhou S,Giannakis G B.Adaptive MIMO OFDM based on partial channel sate information.IEEE Trans.Signal Processing,2004,52(1):202-213.
    [18]Xia Pengfei,Zhou Shengli,Giannakis G B.MIMO OFDM with ST Coding and Beamforming Adapted to Partial CSI.2003 Conference on Information Sciences and Systems,2003:1-6.
    [19]Stemad.M,Svensson.T,Ottosson.T,Ahlen.A.etc.Towards Systems Beyond 3G Based on Adaptive OFDMA Transmission.Proceedings of the IEEE,2007,95(12):2432-2455.
    [20]Ma Y.Rate Maximization for Downlink OFDMA with Proportional Fairness.IEEE Transactions on Vehicular Technology,2008,57(5):3267-3274
    [21]Tian Hui.Wang Shuang,Gao Youjun,Sun Qiaoyun,Zhang Ping.A QoS-Guarantee Resource Allocation Scheme in Multi-user MIMO-OFDM Systems.Vehicular Technology Conference,2007.VTC-2007 Fall.2007 IEEE 66~(th),2007:1802-1806.
    [22]Lampinen M,Haikola V.Open-loop MIMO extensions for HSDPA with practical constraints.IEEE 16th International Symposium on Personal Indoor and Mobile Radio Communications,2005,3:1688-1692.
    [23]Jongren G,Skoglund M,Ottersten B.Combining beamforming and orthogonal space-time block coding.IEEE Trans.Inform.Theory,2002,48:611-627.
    [24]Samanta R,Heath R W.Codebook Adaptation for Quantized MIMO Beamforming Systems.Conference Record of the Thirty-Ninth Asilomar Conference on Signals,Systems and Computers.2005,(1):376-380.
    [25]Xia Pengfei,Zhou Shengli,Giannakis Georgios B.Multiantenna Adaptive Modulation with Beamforming Based on Bandwidth-Constrained Feedback.IEEE Transactions on wireless communications,2005,53(3):526-536.
    [26]Xia Pengfei,Giannakis Georgios B.Design and Analysis of Transmit-Beamforming based on Limited-Rate Feedback.IEEE Trasactions on singal processing,2006,54(5):1853-1863.
    [27]Maaref A,Aissa S.Generalized performance analysis of adaptive PSAM-based transmit-beamforming for wireless MIMO systems.Vehicular Technology Conference 2006(VTC 2006-Spring),Melbourne,Australia,May 7-10,2006,5:2578-2582.
    [28]Zhou S,Giannakis G.B.How accurate channel prediction needs to be for transmit-beamforming with adaptive modulation over Rayleigh MIMO channels? IEEE Trans.Wireless Commun,2004,3(4):1285-1294.
    [29]Lei Zhongding,Chin Francois P.S,Liang Ying-Chang.Combined Beamforming with Space-time Block Coding for Wireless Downlink Transmission.Vehicular Technology Conference,2002.Proceedings.VTC 2002-Fall.2002 IEEE 56th.2002,4:2145-2148.
    [30]Liu J,Gunawan E.Combining ideal beamforming and Alamouti space-time block codes,Electron.Lett.,2003,39(17):1258-1259.
    [31]Liu J,Gunawan E.Exact bit-error rate analysis for the combined system of beamforming and Alamouti's space-time block code,IEEE Microwave and wireless communents letters,2004,14(8):398-400.
    [32]Diaz J,Simeone O,Bar-Ness Y.Asymptotic Analysis of Reduced-Feedback Strategies for MIMO Gaussian Broadcast Channels.IEEE Transactions on Information Theory,2008,54(3):1308-1316.
    [33]Wang Xin,Giannakis Georgios B.Power-Efficient Resource Allocation for Time-Division Multiple Access Over Fading Channels.IEEE Transctions on information theory,2008,54(3):1225-1240.
    [34]Romero-Jerez Juan M,Pena Martin Juan P,Goldsmith Andrea J.Outage Probability of MRC with Arbitrary Power Cochannel Interferers in Nakagami Fading.IEEE Transactions on communications,2007,55(7):1283-1286.
    [35]Silva Mario Marques,Correia Americo M.C.Combined Transmit Diversity and Beamforming for WCDMA,the proceeding of IEE,2003:352-356.
    [36]Shen Keqin.Method of combining space-time block coding with adaptive beamforming.Journal of Southeast University(English Edition),2005,21(3):254-259.
    [37]Voravat Limpakuntorn,Raungrong Suleesathira.MIMO Adaptive Beamforming for MC-CDMA System.2007 ICACT2007,2007:2217-2221.
    [38]Maaref A,Aissa S.Closed-form expressions for the outage and ergodic Shannon capacity of MIMO MRC systems.IEEE Trans.Commun.,2005,7:1092-1095.
    [39]Maaref A,Aissa S.Spectral efficency limitations of Maximum Radio Transmission in the presence of channel estimation errors.In Proceeding IEEE Vehicular Technology Conference(VTC-F05),Dallas,Texas,Sept.2005:502-506.
    [40]Ko Youngwook,Tepedelenlioglu Cihan.Threshold-Based Substream Selection for Closed-Loop Spatial Multiplexing.IEEE Transactions on vehicular technology,2008,57(1):215-226.
    [41]Ko Youngwook,Tepedelenlioglu Cihan.Distributed closed-loop spatial multiplexing for uplink multiuser systems.IEEE Transactions on wireless communications,2008,7(2):470-474.
    [42]Zuleita K M Ho,Vincent K.N Lau,Roger S K Cheng.Closed Loop Cross Layer Scheduling For Goodput Maximization in Frequency Selective Environment with No CSIT.IEEE Communications Society in the WCNC 2007 proceedings,2007:299-303.
    [43]Laneman J N,Tse D N C,Wornell G W.Cooperative diversity in wireless networks:efficient protocols and outage behavior.IEEE Trans.Inform.Theory,2004,50(12):3062-3080.
    [44]Sendonaris A,Erkip E,and Aazhang B.User cooperation diversity part I:system description.IEEE Trans.Commun.,2003,51:1927-1938.
    [45]Hasna M O,Alouini M S.End-to-end performance of transmission system with relays over Rayleigh-fading channels.IEEE Trans.Wireless Commun.,2003,2:1126-1131.
    [46]Ikki S,Ahmed M H.Performance analysis of cooperative diversity wireless networks over Nakagami-m fading channel.IEEE Commun.Letters,2007,11:334-336.
    [47]Avestimehr A S,Tse D N C.Outage capacity of the fading relay channel in the low-SNR regime.IEEE Trans.Inform.Theory,2007,53:1401-1415.
    [48]Nechiporenko T,Phan K T,Telllambura C,Nguyen H.H.Capacity of Rayleigh fading cooperative systems under adaptive transmission,to appear in IEEE Trans,on Wireless Commun.,available online at http://www.ece.ualberta.ca/~nechipor.
    [49]Laneman J N,Wornell G W.Distributed space-time-coded procotols for exploiting cooperative diversity in wireless networks.IEEE Trans.Inform.Theory,2003,49(10):2415-2425.
    [50]Hasna M.O,Alouini M-S.A performance study of dual-hop transmissions with fixed gain relays.IEEE Trans.Wireless Commun.,2004,3(6):1963-1968.
    [51]Boyer J,Falconer D D,Yanikomeroglu H.Multihop diversity in wireless relaying channels.IEEE Trans.Commun.,2004,52(10):1820-1830.
    [52]Sadek A K,Su W,Liu K.J.Ray.Multinode cooperative communications in wireless networks.IEEE Trans.Signal Process,2007,55(1):341-355.
    [53]Bletsas A,Khisti A,Reed D P,Lippman A.A simple cooperative diversity method based on network path selection.IEEE Journal on Sel.Areas in Commun.,2006,24(3):659-672.
    [54]Li Y,Vucetic B,Chen Z,Yuan J.An improved relay selection scheme with hybrid relaying protocols.IEEE Globecom 2007,2007:3704-3708.
    [55]Dai L,Letaief K B.Throughput maximization of Ad-hoc wireless networks using adaptive cooperative diversity and truncated ARQ.IEEE Transactions on Communications,2008,56(11):1907-1918.
    [56]Anghel P A,Kaveh M.Exact symbol error probability of a cooperative network in a Rayleigh-fading environment.IEEE Trans.Wireless Commun.,2004,3:1416-1421.
    [57]Beaulieu N C,Hu J.A closed-form expression for the outage probability of decode-and-forward relaying in dissimilar Rayleigh fading channels,IEEE Commun.Letters,2006,10:813-815.
    [58]Suraweera H.A,Smith P.J,Armstrong J.Outage probability of cooperative relay networks in Nakagami-m fading channels.IEEE Commun.Letters,2006,10:834-836.
    [59]Hunter T.E,Nosratinia A.Coded cooperation under slow fading,fast faing,and power control.The Thirty-sixth Asilomar conference on Signals,Systems and Computers,Pacific Grove,USA,2002.
    [60]Stefanov A,Erkip E.Cooperative space-time coding for wireless networks.IEEE Information Theroy workshop,Paris,France,2003.
    [61]Liu Qingwen,S Zhou hengli,Giannakis Georgios B.Queuing with adaptive modulation and coding over wireless links:cross-layer analysis and design.IEEE Trans Wireless Communications.2005,4(3):1142-1153.
    [62]Wang Xin,Liu Qingwen,Giannakis Georgios B.Analyzing and optimizing adaptive modulation coding jointly with ARQ for QoS-Guaranteed Traffic.IEEE Transactions on Vehicular Technology,2007,56(2):710-720.
    [63]Wang Xin,Giannakis Georgios B.A unified approach to QoS-guaranteed scheduling for channel-adaptive wireless networks,Invited paper,Proceedings of IEEE,2007,12(95):2410-2431.
    [64]Paris Jose F,Goldsmith Andrea J.Adaptive modulation for MIMO beamforming under average BER constraints and imperfect CSI.2006 IEEE International Conference on Communications (ICC 2006),Istanbul,Turkey,June.11-15,2006,3:1312-1317.
    [65]Holliday Tim,Goldsmith Andrea.Cross-Layer Design for MIMO Systems,2006 40th Annual Conference on Information Sciences and Systems,2006,1114-1119.
    [66]Zhang Xi,Tang Jia,et.al.Cross-Layer-Based Modeling for Quality of Service Guarantees in Mobile Wireless Networks.IEEE.Communications Magazine.2006:100-106.
    [67]Tang J,Zhang X.Cross-Layer Modeling for Quality of Service Guarantees Over Wireless Links.IEEE Transaction on wireless communications,2007,6(12):4504-4512.
    [68]Tang J,Zhang X.Transmit selection diversity with maximal-ratio combining for multicarrier DS-CDMA wireless networks over Nakagami Fading Channels.IEEE J.Select.Areas Commun.,2006,24(1):104-112
    [69]Tang J,Zhang X.Cross-Layer Resource Allocation Over Wireless Relay Networks for Quality of Service Provisioning,IEEE J.Select.Areas Commun,2007,25(4):645-656.
    [70]Tang J,Zhang X.Quality-of-Service Driven Power and Rate Adaptation for Multichannel Communications over Wireless Links.IEEE Transactions on wireless communications,2007,6(12):4349-4360.
    [71]Tang J,Zhang X.Quality-of-service driven power and rate adaptation over wireless links.IEEE Trans.Wireless Commun.,2007,6(8):3058-3068.
    [72]Knopp R,Humbler P A.Information capacity and power control in single-cell multiuser communications,in Proc.Intl.Conf.Commu.1995,1:331-335.
    [73]Jiang Ming,Hanzo Lajos.Multiuser MIMO-OFDM for Next-Generation Wireless Systems.Proceedings of the IEEE,2007,95(7):1430-1469.
    [74]Gesbert David,Alouini Mohamed-Slim.How Much Feedback is Multi-User Diversity Really Worth? IEEE Communications Society,2004,1:234-238.
    [75]Lin Yang,Alouini M S.Performance Analysis of Multiuser Selection Diversity.IEEE Transactions on Vehicular Technology,2006,55(6):1848-1861.
    [76]Tang T,Heath R W,Cho S,Yun S.Opportunistic Feedback for Multiuser MIMO Systems with Linear Receivers.IEEE Transactions on Communications,2007,55(5):1020-1032.
    [77]Ma Yao,Zhang Dongbo,Schober R.Rate-Maximizing Multiuser Scheduling for Parallel Channel Access.IEEE Signal Processing Letters,2007,14(7):441-444.
    [78]Pealp Marc,Perez-Neira Ana I.A cross-layer Approach to Heterogeneous Multi-user diversity with Link adaptation.IEEE Trans on Wireless Communications.2007,6(11):4038-4048.
    [79]Jiang Meilong,Hui David Shui Wing,Lau Vincent K N.Cross-layer Downlink Scheduling of Multi-user Multi-Antenna Systems with Heterogeneous Delay Constraints.ISIT 2006,Seattle,USA,2006:2894-2898.
    [80]Carles Anton-Haro,Patrick Svedman,et.al.Cross-layer Scheduling for Multi-user MIMO systems.IEEE communications Magazine.2006:39-45.
    [81]Lau Vincent K.N,Jiang Meilong,Liu Youjian.Cross Layer Design of Uplink Multi-Antenna Wireless Systems with Outdated CSI.IEEE Transactions on wireless communications,2006,5(6):1250-1253.
    [82]Vicario Jose Lopez,Carles Anton-Haro.Cross-layer interaction between spatial and multi-user diversity in selective feedback systems:outage capacity analysis.Proceedings of the 2006 international conference on Wireless communications and mobile computing,2006:165-176.
    [83]Nechiporenko T,Phan Khoa T,Tellambura Chintha,et.al.Performance Analysis of Adaptive M-QAM for Rayleigh Fading Cooperative System.In Proc.IEEE Communications Society of ICC 2008 proceeding,May 12-16 2008.
    [84]Zhou Shengli,Wang Zhengdao,Giannakis Georgios B.Quantifying the Power Loss When Transmit Beamforming Relies on Finite-Rate Feedback.IEEE Trasactions on wireless communications,2005,4(4):1948-1957.
    [85]Kong Zhen,Wang Jiangzhou,Y Kwok u-Kwong.A New Cross Layer Approach to QoS-Aware Proportional Fairness Packet Scheduling in the Downlink of OFDM Wireless Systems.in the proceedings of ICC 2007,2007:5695-5700.
    [86]Choi Y,Kim J,Bahk S.Optimal antenna assignment considering QoS under MIMO environments,in Proc.IEEE ICC,2004,7:4216-4221.
    [87]Aniba G,Aissa S.Adaptive proportional fairness for packet scheduling in HSDPA.in Proc.IEEE Globecom,2004,6:4033-4037.
    [88]Krikidis I,Thompson J,Goertz N.A Cross-Layer Approach for Cooperative Networks.IEEE Transactions on Vehicular Technology,2008,57(5):3257-3263.
    [89]Wang Xin,Yu Yingqun,Giannakis Georgios B..Design and Analysis of Cross-Layer Tree Algorithms for Wireless Random Access.IEEE Transctions on wireless communications,2008,7(3):909-919.
    [90]Liu Qingwen,Zhou Shengli,Giannakis Georgios B..Cross-Layer Scheduling With Prescribed QoS Guarantees in Adaptive Wireless Networks.IEEE journal on selected areas in communications,2005,23(5):1056-1066.
    [91]Liu Qingwen,Wang Xin,Giannakis Georgios B.A Cross-Layer Scheduling Algorithm with QoS Support in Wireless Networks,IEEE Transactions on vehicular technology.2006,55(3):839-847.
    [92]Cui Shuguang,Goldsmith Andrea J.Cross-layer Design of Energy-constrained Networks using Cooperative MIMO Techniques.Invited for publication at euraship's signal processing journal,2006:1-8
    [93]Cui Shugnang,Madan Ritesh,Goldsmith Andrea J.,Sanjay Lall.Cross-Layer Energy and Delay Optimization in Small-Scale Sensor Networks.IEEE Trasactions on wireless communications,2007,6(10):3688-3699.
    [94]Aniba Ghassane,Aissa Sonia.Cross-Layer Design for Scheduling and Antenna Sharing in MIMO Networks.IEEE GLOBECOM 2005 proceedings,2005:3185-3189.
    [95]Aniba Ghassane,Aissa Sonia.Adaptive Scheduling for MIMO Wireless Networks:Cross-Layer Approach and Application to HSDPA.IEEE Transactions on wireless communications,2007,6(1):259-268.
    [96]Matthias Patzold,Bjφrn Olav Hogstad,Neji Youssef.Modeling.Analysis,and Simulation of MIMO Mobile-to-Mobile Fading Channels.IEEE Transactions on wirelss communications,2008,7(2):510-520.
    [97]Su Hang,Zhang Xi.Cross-Layer Based Opportunistic MAC Protocols for QoS Provisionings Over Cognitive Radio Wireless Networks.IEEE Journal of selected areas in communications,2008,26(1):118-129.
    [98]Angela Doufexi,Simon Armour,Michael Butler.A comparison of the HIPERLAN2 and IEEE 802.11a wireless LAN standards.IEEE Communications Magazine,2002:172-180
    [99]Simon M.K.,Alouini M..Digital Communication over Fading Channels:A Unified Approach to Performance Analysis.John Wiley & Sons,Inc.,2000.
    [100]Alouini M S,Goldsmith Andrea J..Adaptive modulation over Nakagami fading channels with multiple antennas.Journal of Wireless Communications:Special Issue on Intelligent Wireless Multimedia Systems Terminals and Components,2000,13(1-2):119-143.
    [101]Goldsmith A J,Chua S-G.Adaptive coded modulation for fading channels.IEEE.Trans.Commun,1998,46:595-602.
    [102]Hayes J F.Adaptive feedback communications.IEEE Transactions on.Communication Technology,1968,16(1):29-34.
    [103]Goldsmith Andrea J,Chua S G.Variable-rate variable-power MQAM for fading channels.IEEE Trans.Commun.,1997,45:1218-1230.
    [104]Webb W T,Steele R.Variable rate QAM for mobile radio.IEEE.Trans.Commun.,1995,43:2223-2230.
    [105]Choi B.,Hanzo L.Optimum mode-switching-assisted constant-power single-and multicarrier adaptive modulation.IEEE Trans.Veh.Technol.,2003,52(3):536-560.
    [106]Goeckel D L.Adaptive coding for time-varying channels using outdated fading estimates.IEEE Trans.Commun.,1999,47:844-855.
    [107]Alouini M S,Goldsmith A J.Capacity of Rayleigh fading channels under different adaptive transmission and diversity-combining techniques.IEEE Trans.Veh.Technol.,1999,48:1165-1181.
    [108]Hole K J,Holm H,Oien G E.Adaptive multidimensional coded modulation over flat fading channels.IEEE J.Select.Areas Commun.,2000,18:1153-1158.
    [109]Chung S T,Goldsmith A J.Degrees of freedom in adaptive modulation:A unified view.IEEE Trans.Commun.,2001,49(9):1561-1571.
    [110]Ko Young-Chai,Yang Hong-Chuan,Eom Seung-Sik,Mohamed-Slim Alouini.Adaptive Modulation with Diversity Combining Based on Output-Threshold MRC.IEEE Trasactions on wireless communications,2007,6(10):3728-3737.
    [111]Eriksson,T,Ottosson T.Compression of Feedback for Adaptive Transmission and Scheduling.Proceedings of the IEEE,2007,95(12):2314-2321
    [112]Ko Y,Tepedelenlioglu C.Orthogonal space-time block coded rate-adaptive modulation with outdated feedback.IEEE Trans.Wireless Commun.2006,5(2):290-295.
    [113]Ko Y,Ma Qian,Tepedelenlioglu C.Comparison of adaptive beamforming and orthogonal STBC with outdated feedback.IEEE Trans.Wireless Commun.,2007,6(1):20-25.
    [114]Ko Y,Tepedelenlioglu C.Comparison of adaptive beamforming and adaptive OSTBC with outdated channel feedback,in Proc.38~(th) Asilomar Conf.on Signals,Systems,and Computers 2004,1:1232-1236.
    [115]Tse D.N.C,Hanly S.Multiaccess fading channels-Part Ⅰ:Polymatroid structure,optimal resource allocation and throughput capacities.IEEE Trans.Inf.Theory,1998,44(7):2796-2815.
    [116]Jalali A,Padovani R,Pankaj R.Data throughput of CDMA-HDR,a high efficiency high data rate personal communication wireless system.Proc.IEEE Veh.Technol.Conf.,2000:1854-1854.
    [117]Dighe P.A.,Mallik R.K.,Jamuar S.S.Analysis of transmit-receive diversity in Rayleigh fading.IEEE Trans.Commun.,2003,51(4):694-703.
    [118]Ma Q,Tepedelenlioglu C.Comparison of multiuser diversity using STBC and transmit beamforming with outdated feedback,in Proc.Intl.Conf,on Acoustics,Speech,and Signal 2005,3:1125-1128
    [119]Ma Qian,Tepedelenlioglu Cihan.Practical multiuser diversity with fair channel assignment.2004's ICASSP 2004:IV-685-IV-688.
    [120]Ma Q,Tepedelenlioglu C.Multiuser diversity with outdated channel feedback.In IEEE Wireless Communications and Networking Conf.,Mar.2004.
    [121]Ma Qian,Tepedelenlioglu Cihan.Practical Multiuser Diversity with Outdated Channel Feedback.IEEE Trasactions on vehicular technology,2005,54(4):1335-1345.
    [122]Liu X,Chong E.K.P,Shroff N.B.Opportunistic transmission scheduling with resource-sharing constraints in wireless networks.IEEE J.Sel.Areas Commun,2001,19(10):2053-2064.
    [123]Chen Chiung-Jang,Wang Li-Chun.A unified capacity analysis for wireless systems with joint multiuser scheduling and antenna diversity in nakagami fading channels.IEEE Trans.On Commun.,2006,54(3):469-478.
    [124]Minn H,Zeng M,Bhargava V K.On ARQ scheme with adaptive error control.IEEE Trans.Veh.Technol,2001,50:1426-1436.
    [125]沈庆国 编著.移动计算机通信网络.北京:人民邮电出版社,1999.
    [126]Malkamaki E,Mathew D,Hamalainen S.Performance of hybrid ARQ techniques for WCDMA high data rates.Vehicular Technology Conf 2001-Spring.Greece:IEEE Press.2001:2720-2724.
    [127]Malkamaki E,Leih H.Performance of truncated type-Ⅱ hybrid ARQ schemes with noisy feedback over block fading channels.IEEE Trans.Commun.,2000,48:1477-1487.
    [128]Yun Jungnam,Jeong WunCheol,Kavehrad M.Throughput performance analysis for automatic-repeat-request techniques as combined with adaptive rate transmission.IEEE Radio and Wireless Conference,Boston,USA,2002:31-33.
    [129]Kingsley,Amoako Oteng,Yuan Jinhong,et.al.Adaptation of turbo punctured codes for hybrid-ARQ.IEEE Vehicular Technology Conference,Orlando,USA,2003(VTC2003-Fall):1853-1857.
    [130]Femenias G.Adaptive SR-ARQ combined with STBC in Markov channels.Electronics Letters,2004,40(6):1-2.
    [131]Ryoo Sunheui,Kim Sooyoung,Ahn Do Seob.Rate adaptation with hybrid ARQ based on cross layer information for satellite communication systems,Consumer Electronics,2004IEEE International Symposium on Digital Broadcasting Research Division.2004,1-3:165-168.
    [132]Larsson Peter,Johansson Niklas.Multiuser Diversity Forwarding in Multihop Packet Radio Networks.proceeding in WCNC 2005:2188-2194.
    [133]Larsson Peter.Analysis of Multi-User ARQ with Multiple Unicast Flows under Non-iid Reception Probabilities.publication in the WCNC 2007 proceedings,2007:384-388.
    [134]Larsson P,Johansson N.Multiuser-ARQ.in Procedings of VTC2006Spring,Melbourne,May 2006,5 pages.
    [135]邬正义,范瑜,徐惠钢.现代无线通信系统电波传播.北京:高等教育出版社,2006.
    [136]Simon M K,Alouini M S.A unified approach to the performance analysis of digital communication over generalized fading channels.Proceedings of The IEEE,1998,8(6):1860-1877.
    [137]Yoon D,Cho K.On the general BER expression of one- and two dimensional amplitude modulations.IEEE Trans.Commun.,2002,50:1074-1080
    [138]Cavers J K.An analysis of pilot symbol assisted modulation for Rayleigh fading channels.IEEE Trans.Veh.Technol.,1991,40(4):686-693.
    [139]Maaref A,Aissa S.Generalized performance analysis of adaptive PSAM-based transmit-beamforming for wireless MIMO systems.Vehicular Technology Conference 2006VTC,2006,5:2578-2582.
    [140]Kang M,Alouini M.Largest Eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems.IEEE J.Sel.Areas Commun,2003,21(3):418-426.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700