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协作复用:在多天线中继网络中实现更高频谱效率的研究 被引量：3

Cooperation Multiplexing: Research on Realizing Higher Spectrum Efficiency in Multi-antenna Relay Network
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摘要 讨论协作通信的复用增益的优势。首先,给出多天线中继网络之间传输速率和中断概率的基本权衡的新解释;然后讨论协作复用增益获得任何有限SNR的可能。在全双工的中继网络中,中继不仅能提供可靠的链路连接,还能提高更高的频谱效率。结果表明,在分集-复用权衡对任何有限的信噪比值下,复用增益能显著影响系统性能。 Previous work on benefits of such techniques. cooperative communications has concentrated primarily on the diversity This paper, instead, considers the multiplexing benefits of cooperative communications. First, a new interpretation on the fundamental tradeoff between the transmission rate and outage probability in multiple-antenna relay networks is given. It follows that multiplexing gains can be obtained at any finite signal-to-noise ratio （SNR）, in full-duplex multiple-antenna relay net- works. Thus, relaying can offer not only stronger link reliability, but also higher spectral efficiency. It is shown that this power gain can significantly affect the system diversity-multiplexing tradeoff for any finite SNR value.
作者 邓国辉 邵玉斌 夏腾飞
机构地区 昆明理工大学信息工程与自动化学院
出处 《重庆理工大学学报（自然科学）》 CAS 2011年第12期94-99,105,共7页 Journal of Chongqing University of Technology：Natural Science
基金 云南省科技厅基金资助项目(2009CA027)
关键词 分集增益 复用增益 MIMO通信 协作通信 中继节点 功率 中断概率 SNR diversity gain multiplexing gain MIMO communication relay nodes power coopera-tive communication outage probability SNR
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献16

  • 1Laneman J N, Tse D N C ,Wornell G W. Cooperative diversity in wireless networks : Efficient protocols and out- age behavior[ J]. IEEE Trans Inf Theory,2004, 50(12) : 3062 - 3080.
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同被引文献28

  • 1Sarmadi N, Pesavento M. Closed-Form Blind MIMO Channel Estimation for OSTBCS: Resolving Ambiguities in Rotatable codes I-A]//Proceedings of 19th European Signal Processing Conference (EUSTKX) 2011) [C]. Barcelonn, Spain, 2011 : 644-648.
  • 2Shin C, Heath R W, Powers E J. Blind Channel Estimation for MIMO-OFDM systems[J]. IEEE Transactions on Vechicular Technology, 2007,56(2) : 670-685.
  • 3Bhalani J, Chauhan D, Kosta Y, et al. Novel Semi-blind Channel Estimation Schemes for Rayleigh Flat Fading MIMO Channels [J]. Int'l J. of Communications, Network and System Sciences, 2011,4(9) : 578-584.
  • 4Yu Jung-lang, Lin Yin-cheng. Space-Time-Coded MIMO ZP- OFDM Systems:Semiblind Channel Estimation and Equalization[J]. IEEE Transactions on Circuits and Systems I: Regular Pa- pers, 2009,56(7):1360-1372.
  • 5Van Zelst A, Schenk TCW. Implementation of a MIMO-OFDM- based wireless LAN system [J]. IEEE Transactions on Signal Processing, 2004,52(2) : 483-494.
  • 6Jayakumari J. MIMO-OFDM for 4G Wireless Systems [J]. In- ternational Journal of Engineering Science and Technology, 2010,2(7) :2886-2889.
  • 7Daryasafar N, Ehyaee B. Evaluation of Channel Estimation Al- gorithms in MIMOOFDM Systems with Considering the Carrier Frequency Offset [J]. International Journal of Computer Science and Telecommunications, 2012,3(5) : 15-22.
  • 8L Zhao-gan, W Lie-jun, Z Tai-yi, et al. A New Steiner Channel Estimation Method in MIMO OFDM Systems [J]. Information Technology Journal, 2007,6: 1238-1244.
  • 9Gupta P,Mehra D K. Simplified Semi-Blind Channel Estimation for Space-Time Coded MIMO-OFDM Systems[J]. Wireless Per- sonal Communications, 2012,62 (3) : 497-515.
  • 10Torres V, Perez Pascual A, Sansaloni T, et al. Design and FP- GA-Implementation of a High Performance Timing Recovery Loop for Broadband Communications[J]. Journal of Signal Pro- cessing Systems,2009,56(1) : 17-23.

引证文献3

重庆理工大学学报（自然科学）
2011年 第12期

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