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所属单位：计算机科学与技术学院/人工智能学院/软件学院

发表刊物：IEEE ACCESS

关键字：Cognitive radio networks admission control network capacity energy efficiency spectral radius

摘要：In the next-generation cognitive radio networks, numerous secondary users will share the spectrum resource with the primary users. As it may not be possible to support all the communication rate requirements, there are many supporting sets for the secondary users as long as the communication rates of the primary users are guaranteed. In this paper, we study the maximum feasible set problem to access as many secondary users as possible, under the constraints of power budgets and communication rates in cognitive radio networks. In this interesting issue, the existing literature generally removes a subset of the secondary users so that the remaining users achieve the thresholds with communication rates and power budgets. However, the removal algorithms cause more interference when there are plenty of unsupported secondary users. We leverage the spectral radius of the network characteristic matrix as the admission price to access the new secondary user. Then, we design a hybrid access control algorithm to reduce the interference time and approximate the maximum network capacity. Moreover, different supported sets produce the different energy efficiency, even having the same network capacity, while all users require the high communication rates. Numerical results demonstrate that our algorithms provide the decent energy efficiency under the communication rate constraints.

ISSN号：2169-3536

是否译文：否

发表时间：2018-01-01

合写作者：Chen, Kun,Liu, Xin,Sun, Xianwei,常相茂,陈兵

通讯作者：Chen, Kun,Liu, Xin,翟象平