Energy‐efficient resource allocation in relay‐aided orthogonal frequency division multiplexing cognitive radio networks with quality of service provisioning,International Journal of Communication Systems

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Energy‐efficient resource allocation in relay‐aided orthogonal frequency division multiplexing cognitive radio networks with quality of service provisioning
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-31 , DOI: 10.1002/dac.4566
Feiyu Yan ₁ , Jihong Zhao _{1,

2} , Hua Qu ₁ , Xiguang Xu ₁

Affiliation

This paper investigates the energy‐efficient resource allocation problem in orthogonal frequency division multiplexing (OFDM)‐based cognitive radio (CR) networks with multiple decode‐and‐forward relays. In order to maximize the system energy efficiency (EE), we jointly optimize the relay selection, subcarrier pairing, and power allocation subject to the transmit power constraints, the interference thresholds at the primary system, and the quality of service (QoS) provisioning for the CR system. Using the fractional programming and the Lagrangian dual decomposition method, the optimization problem which is a mixed‐integer nonlinear program (MINLP) can be efficiently solved to obtain an asymptotically optimal solution. We also propose a suboptimal scheme to reduce the computational complexity at the expense of a little performance loss. Simulation results demonstrate the performance of proposed schemes and the effect of the constraints values.

中文翻译：

具有服务质量配置的中继辅助正交频分复用认知无线电网络中的节能资源分配

本文研究了具有多个解码和转发中继的基于正交频分复用（OFDM）的认知无线电（CR）网络中的节能资源分配问题。为了最大程度地提高系统能效（EE），我们根据发射功率约束，主系统的干扰阈值和服务质量（QoS）设置，共同优化中继选择，子载波配对和功率分配。 CR系统。使用分数规划和拉格朗日对偶分解方法，可以有效地解决作为混合整数非线性程序（MINLP）的优化问题，以获得渐近最优解。我们还提出了一种次优方案，以降低性能损失为代价来降低计算复杂度。

更新日期：2020-10-05

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