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Bayesian inference based resource efficient relay selection scheme for nakagami fading channels

机译:基于贝叶斯推理的中上衰落信道资源高效中继选择方案

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This paper presents a novel algorithm for relay selection in cooperative cellular networks. Unlike conventional relay selection schemes, this technique restricts the usage of relay nodes for multiple reasons, most significant of which is the wastage of power on the nodes when channel conditions between the two nodes are fair enough and cooperation isn't needed. The said scheme makes the source node intelligent enough to be able to decide whether extra relays are needed in the channel ahead, or if needed then up to what extent it should allow the use of more relays, as to make the communication reliable and at the same time, not waste any resources. Crux of the said decision-making scheme is that ideally, only one relay is utilized during the communication; however, if channel conditions ahead of this relay are not fair enough, the services of other relays are acquired by the relay selection scheme to cooperate and maintain the required Quality of Service (QoS). Analysis of the scheme in various paradigms shows that if the decision-making authority lies with the source node, it gives us a 68% resource efficient relay selection scheme enabling optimal Symbol Error Rate to be achieved within acceptable range of Signal-to-Noise Ratio (SNR).
机译:本文提出了一种新的协作蜂窝网络中的中继选择算法。与常规的中继选择方案不同,此技术出于多种原因限制中继节点的使用,其中最重要的是当两个节点之间的信道条件足够合理且不需要协作时,节点上的功率浪费。所述方案使得源节点足够智能,从而能够决定在前方信道中是否需要额外的中继,或者如果需要,则可以决定在多大程度上应该允许使用更多的中继,以使通信可靠并在需要时进行。同时,不浪费任何资源。所述决策方案的症结在于,理想地,在通信期间仅使用一个中继器;但是,如果此中继器前面的信道条件不够合理,则中继器选择方案将获取其他中继器的服务,以配合并维持所需的服务质量(QoS)。对方案的各种范式进行分析表明,如果决策权属于源节点,则它可以为我们提供68%的资源有效中继选择方案,从而能够在信噪比的可接受范围内实现最佳符号错误率(SNR)。

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