Multi-source multi-destination relay network: constrained optimisation for higher diversity

Multi-source multi-destination relay network: constrained optimisation for higher diversity
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多源多目的地中继网络:更高多样性的约束优化

DOI:
10.1049/iet-com.2009.0529
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发表时间:
2010
期刊:
影响因子:
1.6
通讯作者:
Zhu S
Zhu S
中科院分区:
计算机科学4区
文献类型:
--
作者:
Zhu S

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作者考虑了一个协作通信系统,其中多个源发送数据到多个目的地,由多个半双工中继节点的帮助下:中继节点执行“放大和转发”作为他们的合作技术,与使用的复杂的权重转发;复杂的转发权重进行优化,基于所获得的信道信息,以提高数据传输性能,特别是其相应的分集阶数。特别是,作者研究了转发权重的约束优化,在所有目的地的无干扰数据接收和所有中继的总转发功率的两个约束下,以(i)最大化任何给定源-目的地对的信噪比(SNR);(ii)优化(这里最大化最小值)所有源-目的地对的SNR。性能分析(特别是分集阶数)和蒙特-卡罗仿真表明,所获得的分集阶数和分析结果之间的一致性。
The authors consider a cooperative communication system where multiple sources transmit data to multiple destinations, being helped by multiple half-duplex relay nodes: relay nodes perform ‘amplify and forward’ as their cooperative technique, with the use of complex weights for forwarding; complex forwarding weights are optimised, based on the obtained channel information, to improve data transmission performance, especially its corresponding diversity order. In particular, the authors investigate the constrained optimisation on the forwarding weights, under the two constraints of interference-free data reception at all destinations and total forwarding power at all relays, to (i) maximise the signal-to-noise ratio (SNR) of any given source–destination pair; (ii) optimise (here maximise the minimum among) the SNRs of all source–destination pairs. Performance (especially diversity order) analysis and Monte-Carlo simulations show the achieved diversity order and the consistence between analytical and numerical results.
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