A Fair Relay Selection Based on Mapping Functions in the Dual Hop DF Cooperative Networks

Kun Xiao, Cailing Qin, C. Tan, Lili Liao, Chong Dang
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Abstract

We address the load balance, referred as “fairness” in our work, in the relay selection procedure of the dual hop decode-and-forward (DF) cooperative networks. Firstly, the unfairness caused by the known best-path relay selection (BRS) scheme is analyzed by the metric of blocking probability at the relays with equal relay channels. Secondly, aiming to improve the fairness while keeping a satisfied and comparable outage performance, we propose a fair relay selection algorithm based on mapping functions, including the signal to noise ratio (SNR) mapping functions and load mapping functions. It is worth mentioning that BRS scheme can be viewed as a special case of the proposed algorithm. Afterwards, the outage probability of the proposed algorithm is derived. During the derivation, the mixture Gamma distribution is used to model SNRs of wireless fading channels, so this kind of derivation is valid for different fading channels, e.g. Rayleigh, Nakagami-m etc.. Finally, taking the average load and outage probability as performance metrics, we simulated the proposed algorithm and compared it with the proportional fair cooperation (PFC) algorithm in the literature. As observed in the simulation results, the proposed algorithm guarantees fairness well among the relays, especially when the network is heavily burdened
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双跳DF合作网络中基于映射函数的公平中继选择
在双跳解码转发(DF)合作网络的中继选择过程中,我们解决了负载平衡问题,在我们的工作中称为“公平性”。首先,利用等信道中继的阻塞概率度量分析了已知最优路径中继选择(BRS)方案的不公平性;其次,为了提高公平性,同时保持满意的可比较的中断性能,我们提出了一种基于映射函数的公平中继选择算法,包括信噪比映射函数和负载映射函数。值得一提的是,BRS方案可以看作是该算法的一个特例。然后,推导了该算法的中断概率。在推导过程中,采用混合伽玛分布对无线衰落信道的信噪比进行建模,因此这种推导对不同的衰落信道(如Rayleigh、Nakagami-m等)都是有效的。最后,以平均负载和中断概率为性能指标,对所提算法进行仿真,并与文献中的比例公平合作(PFC)算法进行比较。仿真结果表明,该算法能够很好地保证中继之间的公平性,特别是在网络负荷较大的情况下
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