基于广义区域模型的认知中继网络中断改进

Sohaib Khan, Yonghoon Choi, Youngnam Han
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引用次数: 1

摘要

在次要用户与主要用户共存的认知网络系统中,功率控制起着重要的作用,但由于次要用户的干扰会影响到主要用户的性能。本文采用了将PU的中断概率作为服务质量约束,同时利用辅助用户吞吐量最大化函数的方法。以二元功率控制(BPC)为例,提出了一种广义区域模型。结果表明,在这些条件下,具有三个区域(N=3)和三个阈值的认知无线电中继网络(CRRN)在活跃单元数量和停机概率方面提供了更好的性能,其中单元通过认知无线电基站(CRBS)进行通信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outage Improvement in Cognitive Relay Networks by Using a Generalized Regional Model
Power control plays significant role in the cognitive network system where secondary users (SUs) co-exist with primary users (PUs), but the interference due to SUs may affect the performance of PUs. The approach of considering the outage probability of PU as quality of service (QoS) constraint, while using the maximization function of secondary user throughput is used in this paper. A generalized regional model is suggested, while using Binary Power Control (BPC) as an example case. The results conclude that under these conditions the cognitive radio relay network (CRRN), where SUs communicate through a cognitive radio base station (CRBS), with three regions (N=3) and three thresholds provides better performance, in terms of more active SUs and outage probability of SUs.
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