Design and analysis of linear distributed MIMO relaying algorithms

Design and analysis of linear distributed MIMO relaying algorithms
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DOI：
10.1049/ip-com:20050406
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发表时间：
2006-07
期刊：
--
影响因子：
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通讯作者：
O. Oyman;A. Paulraj
O. Oyman;A. Paulraj
中科院分区：
其他
文献类型：
--
作者：
O. Oyman;A. Paulraj

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事实证明，在无线链路两端使用多个天线（也称为多输入多输出 (MIMO) 无线）可以显着提高通信质量，提高数据速率和可靠性，且无需额外的频谱或功率成本。本文考虑无线网络中的 MIMO 通信，其中多个 MIMO 源-目的地对终端通过一大组公共 MIMO 中继终端同时进行通信。随着对无线、无处不在和高数据速率应用的需求不断增长，人们对通过分布式中继技术开发新颖的去中心化通信方法以提高性能并更有效地利用系统资源产生了极大的兴趣。分布式 MIMO 线性中继技术的设计利用中继终端的本地信道状态信息 (CSI)，同时将多个用户的信号波束成形至其预期目的地。通过对高和低信噪比 (SNR) 范围内的信号干扰比 (SIR) 统计数据进行分析表征，证明了分布式 MIMO 中继相对于直接传输的优点，并通过数值模拟验证了理论预测。最后，考虑基于信道状态的量化有限速率反馈的中继波束形成，并通过蒙特卡罗模拟量化 SIR 退化。
The use of multiple antennas at both ends of a wireless link, also known as multiple-input multiple-output (MIMO) wireless, has been shown to offer significant improvements in the quality of communication in terms of both higher data rates and better reliability at no additional cost of spectrum or power. In this paper, MIMO communication in a wireless network is considered where multiple MIMO source-destination pair terminals simultaneously communicate through a large common set of MIMO relay terminals. With ever increasing demands for tetherless, ubiquitous and high data rate applications, there has been great interest in developing novel decentralised communication methods through distributed relaying techniques to enhance performance and enable more efficient usage of system resources. Distributed MIMO linear relaying techiques are designed that take advantage of local channel state information (CSI) at the relay terminals to simultaneously beamform multiple users' signals to their intended destinations. The merits of distributed MIMO relaying over direct transmissions through the analytical characterisation of the signal-to-interference ratio (SIR) statistics in the high and low signal-to-noise ratio (SNR) regimes are demonstrated and theoretical predictions are verified by numerical simulations. Finally, relay beamforming based on the quantised finite-rate feedback of the channel states is considered and the SIR degradation through Monte-Carlo simulations is quantified.