Achieving Full Diversity by Selection in Arbitrary Multi-Hop Amplify-and-Forward Relay Networks

W. Shi, Sumit Roy
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引用次数: 9

Abstract

Although several cooperative diversity strategies have been proposed for simple 2-hop multiple-relay networks, practical and efficient strategies that guarantee maximum diversity order for arbitrary, multi-hop amplify-and-forward relay networks are not yet available. In this paper, the maximum achievable diversity order for a given connectivity is shown to be determined by the number of links on the minimum cut set, and achieved by a selection strategy which maximizes end-to-end SNR. The optimal selection requires the channel information of all the links and serves as a performance bound. A sub-optimal selection method is then proposed to achieve full diversity in a distributed and low-complexity manner. The performance loss of the sub-optimal selection is shown to be small by both theoretic analysis and simulations.
在任意多跳放大转发中继网络中通过选择实现完全分集
虽然针对简单的2跳多中继网络已经提出了几种合作分集策略,但是对于任意的多跳放大转发中继网络,目前还没有实用有效的策略来保证最大的分集顺序。在本文中,对于给定的连通性,最大可实现的分集顺序由最小切割集上的链路数决定,并通过最大化端到端信噪比的选择策略来实现。最优选择需要所有链路的信道信息,并作为性能边界。然后提出了一种次优选择方法,以分布式和低复杂度的方式实现充分的多样性。理论分析和仿真结果表明,次优选择的性能损失较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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