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Performance analysis of a relay-aided cognitive radio network with multiple secondary links

机译:具有多个辅助链路的中继辅助认知无线电网络的性能分析

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摘要

In this paper, we propose a cooperative cognitive radio (CR) network, where several secondary sources can simultaneously transmit their information to the destinations via a relay network. We efficiently exploit an optimal cooperative beamforming (CBF) method for the investigated CR network and show that the secondary sources can simultaneously communicate with the secondary destinations irrespective of whether the primary link is idle or not. The proposed CBF can simultaneously maximize the received signal to interference plus noise ratio (SINR) at the secondary destinations while keeping the interference plus noise power at the primary destination below a predefined threshold. To investigate the efficiency of our proposed model, we increase the number of secondary links and consider the received SINR at the secondary destinations and interference plus noise power at the primary destination. We optimize the proposed CBF vector by solving a convex semidefinite problem (SDP) using the bisection search algorithm. Moreover, we investigate the performance of the proposed system model by increasing the channel occupancy probability of the primary user (PU) link. Outage probability is also another key event of our interest which is investigated. Numerical results show the efficiency and robustness of our strategy. (C) 2019 Elsevier B.V. All rights reserved.
机译:在本文中,我们提出了一种协作认知无线电(CR)网络,其中几个辅助源可以同时通过中继网络将其信息传输到目的地。我们为研究的CR网络有效地利用了一种最佳的协作波束成形(CBF)方法,并表明,无论主链路是否空闲,辅助源都可以与辅助目的地同时通信。所提出的CBF可以在次要目的地同时最大化接收信号的干扰加噪声比(SINR),同时将主要目的地的干扰加噪声功率保持在预定阈值以下。为了研究我们提出的模型的效率,我们增加了辅助链路的数量,并考虑了在辅助目的地接收到的SINR和在主要目的地接收到的干扰以及噪声功率。我们使用对分搜索算法通过解决凸半定问题(SDP)来优化提出的CBF向量。此外,我们通过增加主要用户(PU)链路的信道占用概率来研究所提出系统模型的性能。停电概率也是我们关注的另一个关键事件。数值结果表明了该策略的有效性和鲁棒性。 (C)2019 Elsevier B.V.保留所有权利。

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