部分中继选择放大前向认知中继网络的中断性能分析

Xinyi Wang, Yuanxin Sun, Huogen Yu, Ting Feng, Wanbin Tang, Y. Zhang
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引用次数: 7

摘要

在本文中,我们考虑频谱共享环境下的放大和前向认知中继网络。给出了源中继部分中继选择(SR-PRS)和中继-目的部分中继选择(RD-PRS)两种不同中继选择方案下的性能分析。具体来说,我们考虑了二次源节点和中继节点的干扰功率约束,以及二次中继节点的发射功率约束。在这种情况下,得到了瑞利衰落信道上准确的中断概率。结果表明,系统性能主要受功率约束和二次中继节点数量的影响。此外,我们还提供了仿真结果来比较两种不同的PRS方案。最后通过蒙特卡罗仿真验证了分析结果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outage performance analysis of amplify-and-forward cognitive relay networks with partial relay selection
In this paper, we consider amplify-and-forward cognitive relay networks in a spectrum-sharing environment. We present the performance analysis under two different partial relay selection (PRS) schemes, namely source-relay partial relay selection (SR-PRS) and relay-destination partial relay selection (RD-PRS). Specifically, we consider interference power constraint on secondary source and relay nodes, and transmit power constraint on secondary relay nodes. In this context, the exact outage probability is derived over Rayleigh fading channels. Our results show that the system performance is dominated by the power constraints and the number of secondary relay nodes. Moreover, we provide simulation results to compare the two different PRS schemes. Finally, Monte Carlo simulations are shown to validate the accuracy of the analytical results.
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