On Stable Throughput of Cognitive Radio Networks With Cooperating Secondary Users
On Stable Throughput of Cognitive Radio Networks With Cooperating Secondary Users
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DOI：
10.1109/tcomm.2016.2597857
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发表时间：
2016-07
影响因子：
8.3
通讯作者：
K. Kulkarni;Adrish Banerjee
中科院分区：
文献类型：
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作者：
K. Kulkarni;Adrish Banerjee
本文研究了由一个主用户(PU)和多个次用户(SU)组成的协作认知无线电网络。SU仅在PU被感测为静默时才发送，并且可能由于不完美的感测而干扰主传输。当正确地感测到主要活动时，SU通过帮助PU的失败分组的重发来与PU协作。分析了三种不同协作方式下PU和SU的分组吞吐量。采用基于信号流图的方法得到分组吞吐量的闭合表达式。分析了两种情况：个体感知和协作感知。此外，我们还刻画了在保持系统中所有队列稳定的情况下最大化个体二次分组吞吐量的SU的最优传输概率。结果给出了不同场景下所提出的协作方法的吞吐量性能的比较，并显示了它们对PU和SU吞吐量的好处。
In this paper, we study cooperative cognitive radio networks consisting of a primary user (PU) and multiple secondary users (SUs). SUs transmit only when PU is sensed as silent and may interfere with primary transmission due to imperfect sensing. When primary activity is sensed correctly, SUs cooperate with PU by assisting retransmission of failed packets of PU. We analyze packet throughput of PU and SU for three variations of the proposed cooperation method. A signal flow graph-based approach is employed to obtain the closed-form expressions of packet throughput. The analysis is done for two cases: individual sensing and cooperative sensing. Furthermore, we characterize the optimal transmission probability of SUs that maximizes individual secondary packet throughput keeping all queues in the system stable. Results present a comparison of throughput performance of the proposed cooperation methods under different scenarios and show their benefits for both PU and SU throughput.