Optimal full-duplex cooperative spectrum sensing in asynchronous cognitive networks

Teddy Febrianto, M. Shikh-Bahaei
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引用次数: 6

Abstract

Spectrum sensing and sharing are challenging task in asynchronous cognitive networks (CNs), where there is nc synchronization between primary and secondary users (PUs and SUs). In this paper, we propose combination of cooperative spectrum sensing and full-duplex communication for improving quality and throughput of both primary and secondary users in asynchronous CNs. More specifically, we have studied two types of full-duplex schemes, namely full-duplex receive-sense (FDr) and full-duplex sense (FDs). FDr allows SUs to transmil and receive data simultaneously whereas in FDs the SUs continuously sense the channel during transmission time. The average throughput is derived for secondary and primary users under both schemes and for different levels of residual self interference (SI). We demonstrate the respective trade-offs and obtain the optimal scheme based on cooperative full-duplex spectrum sensing.
异步认知网络中最优全双工协同频谱感知
在异步认知网络(CNs)中,主从用户(pu)和用户(su)之间存在nc同步,频谱感知和共享是一项具有挑战性的任务。本文提出将协同频谱感知与全双工通信相结合,以提高异步cnns中主从用户的质量和吞吐量。更具体地说,我们研究了两种类型的全双工方案,即全双工接收感知(FDr)和全双工感知(FDs)。FDr允许单元同时发送和接收数据,而在FDs中,单元在传输时间内连续感知信道。在两种方案下以及不同水平的剩余自干扰(SI)下,推导了辅助和主要用户的平均吞吐量。我们论证了各自的权衡,并获得了基于协同全双工频谱感知的最优方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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