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Joint power allocation and collaborative beamforming for physical layer security in underlay CR NOMA relay systems

机译:底层CR NOMA中继系统中物理层安全性的联合功率分配和协作波束形成

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摘要

In this paper, we investigate the problem of joint power allocation and collaborative beamforming for physical layer security in underlay cognitive radio non-orthogonal multiple access relay systems. We consider two relaying schemes, i.e., amplify-and-forward and decode-and-forward, with the goal of maximizing the secrecy rate for the central user subjective to the transmit power constraint at the source node, individual transmit power constraints at relays, rate requirements at the cognitive users and the interference power constraint at the primary receiver. The optimization problems are nonconvex and hard to solve. We propose an efficient iterative algorithm by the constrained concave-convex procedure to solve the nonconvex optimization problems. For a comparison, we provide another method, namely alternating optimization (AO) algorithm. In addition, simulations are provided to show the superiority of our proposed methods with comparison to the AO algorithm and traditional orthogonal multiple access schemes. (C) 2021 The Author(s). Published by Elsevier B.V.
机译:在本文中,我们研究了底层认知无线电非正交多址中继系统中对物理层安全性的关节功率分配和协作波束形成的问题。我们考虑两个中继方案,即放大和前进和解码,并实现最大化中央用户主观对源节点的发射功率约束的保密率的目标,在继电器处的各个发射功率约束,认知用户的速率要求和主接收器处的干扰功率约束。优化问题是非渗透性且难以解决。我们提出了一个有效的凹凸过程的高效迭代算法,以解决非透露优化问题。为了进行比较,我们提供了另一种方法,即交替优化(AO)算法。此外,提供了模拟以显示我们所提出的方法的优越性,与AO算法和传统的正交多址方案进行比较。 (c)2021提交人。 elsevier b.v出版。

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