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Optimal Relay Selection for Energy-Efficient Multicast

机译:节能多播的最佳中继选择

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摘要

We consider multicast transmission from a single source to multiple destinations. We assume that the source cannot reach the destinations directly, but must forward its traffic through a set of assisting relay nodes. The performance objective under consideration is to maximize the common amount of information (number of bits) that the source delivers to all destinations per joule of the total energy spent. Our aim is to obtain a policy that identifies: (a) which subset of the relays should be activated, (b) for how long, and (c) the respective destinations that each relay has to serve. We consider centralized policies with exact knowledge of the channel conditions. In the special case of networks employing at most two relays, we show that for any fixed assignment of destinations to relays the problem of maximizing the number of bits per joule by choosing the duration that each relay should be activated can be formulated as a convex optimization problem. Unfortunately, the problem of assigning destinations to relays is combinatorially complex. Thus, in the sequel we present a method with reduced complexity that exploits the knowledge of the underlying channel conditions to perform this assignment. Finally, we provide a set of numerical results to illustrate the optimal relay selection and assignment of destinations to relays corresponding to different channel conditions.
机译:我们考虑从单个源到多个目标的多播传输。我们假设源无法直接到达目的地,但必须通过一组辅助中继节点转发其流量。正在考虑的性能目标是在每焦耳消耗的总能量中,最大化源向所有目的地传递的公共信息量(位数)。我们的目标是获得一种策略,该策略标识:(a)应该激活中继的哪个子集,(b)多长时间,以及(c)每个中继必须服务的各个目的地。我们会考虑对渠道状况有确切了解的集中政策。在最多使用两个中继的网络的特殊情况下,我们表明,对于中继的目的地的任何固定分配,通过选择每个中继应被激活的持续时间来最大化每焦耳的位数,可以表示为凸优化。问题。不幸的是,将目的地分配给中继的问题在组合上很复杂。因此,在续篇中,我们提出了一种降低复杂性的方法,该方法利用了底层信道条件的知识来执行此分配。最后,我们提供了一组数值结果来说明最佳的中继选择以及与不同信道条件相对应的中继目的地分配。

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