Relay Selection and Throughput Maximization for Full Duplex Wireless Powered Cooperative Communication Networks

S. Kazmi, M. S. Iqbal, S. Coleri
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引用次数: 2

Abstract

Cooperative communication using energy harvesting (EH) nodes promises significant improvement in network throughput, coverage, and reliability. This work studies a full-duplex (FD) wireless powered cooperative communication network (WPCCN), in which the users communicate to a hybrid access point (HAP) via decode-and-forward (DF) EH relay nodes. We present an optimization framework for the relay selection problem with an objective of maximizing the sum throughput of the FD-WPCCN, for the first time in the literature. The formulated optimization problem is a mixed integer non-linear programming problem (MINLP), which is difficult to solve for global optimal solution. As a solution strategy, we first analyze the problem for a given relay allocation and prove that it is a convex problem. We solve the problem for the optimal solution by using the Karush-Kuhn-Tucker conditions. Then, for the relay selection problem, we present a polynomial time heuristic algorithm based on the allocation of relay with the best channel conditions to each user. Through extensive simulations, we show that the proposed algorithm performs close to the optimal solution for various network parameters such as different HAP transmission power values, network sizes, and initial battery level of the nodes. We observe that the sum throughput of the network can be increased significantly by using a proper relay selection technique.
全双工无线供电协作通信网络中继选择与吞吐量最大化
使用能量收集(EH)节点的协作通信有望显著改善网络吞吐量、覆盖范围和可靠性。本文研究了一种全双工(FD)无线供电协作通信网络(WPCCN),其中用户通过解码转发(DF) EH中继节点与混合接入点(HAP)通信。我们提出了一个中继选择问题的优化框架,其目标是最大化FD-WPCCN的总吞吐量,这在文献中是第一次。该优化问题是一个难以求解全局最优解的混合整数非线性规划问题。作为一种解决策略,我们首先分析了给定中继分配的问题,并证明了它是一个凸问题。我们利用Karush-Kuhn-Tucker条件求解问题的最优解。然后,针对中继选择问题,提出了一种多项式时间启发式算法,该算法基于最佳信道条件向每个用户分配中继。通过大量的仿真,我们表明所提出的算法在各种网络参数(如不同的HAP传输功率值、网络大小和节点的初始电池电量)下都接近于最优解。我们观察到,使用适当的中继选择技术可以显著提高网络的总吞吐量。
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