A multi-hop bidirectional relay selection scheme based on Viterbi algorithm

Q. You, Zhuo Chen, Yonghui Li, Xiaofeng Tao
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引用次数: 1

Abstract

In this paper, we propose a low-complexity multihop bidirectional relay selection (RS) scheme to enable simultaneous information exchange between two sources. The proposed RS scheme draws on the analogy between the node distribution of the general multi-hop bidirectional relay network model and the trellis of a convolutional code, and applies the Viterbi algorithm in selecting a path to minimize the sum outage probability of two sources. Specifically, the multi-hop bidirectional relay network model is first mapped to a convolutional code trellis. The branch metric in the trellis is defined as the instantaneous SNR of the channel connecting two relays in two adjacent clusters. Therefore, the path metric, which is defined as the minimum of all the branch metrics along the path, approximately equals the equivalent SNR of the multi-hop bidirectional path. Then, the sliding window Viterbi algorithm is applied to select a path between two sources. Simulation results show that the proposed multi-hop bidirectional RS scheme achieves almost the same outage probability as the optimal multi-hop bidirectional RS scheme when the window size is sufficiently large.
基于Viterbi算法的多跳双向中继选择方案
在本文中,我们提出了一种低复杂度的多跳双向中继选择(RS)方案,以实现两个源之间的同时信息交换。提出的RS方案将一般多跳双向中继网络模型的节点分布与卷积码的网格结构进行类比,采用Viterbi算法选择路径,使两个源的总中断概率最小。具体来说,首先将多跳双向中继网络模型映射到卷积码网格。网格中的分支度量被定义为两个相邻簇中连接两个继电器的通道的瞬时信噪比。因此,路径度量(定义为路径上所有分支度量的最小值)近似等于多跳双向路径的等效信噪比。然后,应用滑动窗口Viterbi算法选择两个源之间的路径。仿真结果表明,当窗口大小足够大时,所提多跳双向RS方案的中断概率与最优多跳双向RS方案基本相同。
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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