Sum-Power Minimization Problem in Multisource Single-AF-Relay Networks: A New Revisit to Study the Optimality
Sum-Power Minimization Problem in Multisource Single-AF-Relay Networks: A New Revisit to Study the Optimality
复制标题
多源单AF中继网络中的总功率最小化问题：重新审视最优性研究
DOI：
10.1109/tvt.2017.2739746
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发表时间：
2017-11
影响因子：
6.8
通讯作者：
Zhiqiang Yao
中科院分区：
文献类型：
--
作者：
Shiguo Wang;Rukhsana Ruby;Victor C. M. Leung;Zhiqiang Yao
针对多源单放大转发（AF）中继网络，从不同的求解角度重新审视了功率分配的最优性，提出了一种通用的优化框架。所提出的框架可用于解决具有某些共同特定结构的问题。作为优化框架的基线，提出了两个定理来获得问题的极值，这是在特定系统约束下实现资源最优配置的一般定理。在此基础上，针对源端和目的端无直接链路的多用户单af中继协作网络，提出了计算复杂度较低的最优功率分配策略，以最小化源端和系统功耗。当移动用户数<inline-formula>< text -math notation="LaTeX">$n$</ text -math></inline-formula> $n$</ text -math notation="LaTeX">$\mbox{O}(n)$</ text -math></inline-formula>时，两种功率分配方案的总体复杂度均低于或与现有策略相同。在与解决这类问题的传统方法进行比较的同时，对不同的系统设置进行了广泛的数值模拟，以证明我们提出的功率分配方案的有效性和有效性。
For multisource single amplify-and-forward (AF) relay networks, the optimality of power allocation is revisited from different solution aspect, and a universal optimization framework is proposed. The proposed framework can be used to solve problems that have some common specific structure. As a baseline of the optimization framework, two theorems are proposed to obtain the extreme value of the problem, which is general to realize the optimal resource allocation under some system-specific constraints. Then, based on the proposed theorems, for multiuser single-AF-relay cooperative networks without direct links between sources and destinations, optimal power allocation strategies with low computational complexity are proposed to minimize sum-source-power consumption and sum-system-power consumption. When the number of mobile user is <inline-formula><tex-math notation="LaTeX">$n$</tex-math></inline-formula>, the overall complexity of both power allocation schemes is <inline-formula><tex-math notation="LaTeX">$\mbox{O}(n)$</tex-math> </inline-formula>, which is lower than or same as the existing strategies. While comparing with the traditional methods to solve this type of problem, extensive numerical simulation has been conducted for different system setups to justify the effectiveness and efficacy of our proposed power allocation schemes.
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