多流协作通信系统的停电与能效权衡

B. Bai, Wei Chen, Z. Cao, K. Letaief
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引用次数: 5

摘要

近年来,以提高能源效率为核心的绿色通信受到了学术界和工业界的广泛关注。本文在考虑能量预算和设备能耗的情况下,研究了多流协作通信系统在中断概率和能效之间的权衡问题。该方法首先将多流协作通信系统构建为加权随机二部图(WRBG)模型。然后提出最小加权最大匹配(MWMM)方法,为每个源-目的(s-d)对选择一个继电器,以最小化停电概率并同时最大化平均能源效率。通过对WRBG模型各样本的性质分析,得到了中断概率和平均能效的封闭公式。因此,基于导出的权衡,可以根据系统需求,通过调整能源预算和输电速率来平衡停电概率和平均能效。此外,该方法还具有并行实现时对数多项式计算复杂度的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outage and energy efficiency tradeoff for multi-flow cooperative communication systems
The green communications, which focus on improving the energy efficiency, have attracted much attention from both academia and industry recently. In this paper, the tradeoff between outage probability and energy efficiency will be addressed for multi-flow cooperative communication systems with taking energy budget and devices energy consumption into consideration. The proposed approach will first formulate the multi-flow cooperative communication system as a weighted random bipartite graph (WRBG) model. The minimum weighted maximum matching (MWMM) method will then be proposed to select a relay for each source-destination (s-d) pair in order to minimize the outage probability and maximize the average energy efficiency simultaneously. By analyzing the properties of every sample of the WRBG model, the closed-form formulas for the outage probability and average energy efficiency will then be obtained. Therefore, based on the derived tradeoff, the outage probability and average energy efficiency can be balanced by adjusting the energy budgets and transmission rate according to the system requirement. Moreover, the proposed MWMM method also enjoys an advantage of the log-polynomial computation complexity for parallel implementations.
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