论文标题
基于NOMA的CR网络中的传感通知分析
Sensing-Throughput analysis in NOMA-based CR Network
论文作者
论文摘要
认知无线电（CR）网络通过增强光谱利用率提供了频谱缺陷问题的解决方案。近年来，非正交的多重访问（NOMA）也对提高5G网络的频谱效率也引起了重大兴趣。同时无线信息和电力传输（SWIPT）是一种用于同时使用电力有限无线网络的无线信息和电源的技术。在本文中，我们正在使用SIC接收器中完美取消的可获得吞吐量和标准吞吐量进行比较分析，还开发了黄金选择搜索算法，以通过使用SWIPT技术来获得最大程度的传感时间，以最大程度地利用基于NOMA的CR网络中的吞吐量。除了传感时间优化外，还以完美和不完美的感应情况模拟了吞吐量。
The Cognitive Radio (CR) network provides the solution to the spectrum deficiency problem by enhancing the spectrum utilization. In recent years, Non-orthogonal multiple access (NOMA) has also gained significant interest in improving the spectrum efficiency of 5G networks. The simultaneous wireless information and power transfer (SWIPT) is a technique for the transfer of wireless information and power simultaneously for the power-limited wireless networks. In this paper, we are doing a comparative analysis between the obtainable throughput and standard throughput with perfect cancellation in the SIC receiver and also developed the golden selection search algorithm to acquire the optimal sensing time for maximizing the throughput in NOMA based CR network by using the SWIPT technique. In addition to the sensing time optimization has also simulated the throughput with the interference probability in perfect and imperfect sensing case.
