A Spectrum Allocation Strategy with an Access Threshold and Super-slot in Cognitive Radio Networks
Jin Shun-fu Dai Yu
(College of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)
(Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao 066004, China)
Abstract：In order to improve the response performance and decrease the transmission interruption probability, a centralized spectrum allocation strategy with an access threshold and super-slot for cognitive radio networks is proposed by limiting the number of data packets in the system and allowing the primary users access spectrum with a pre-emptive priority based on a super-slot. Through combining the sequence number of the specified slot in a super-slot and the number of data packets for the cognitive users in the system, a two-dimensional discrete-time Markov chain model is established presenting the formulas for the performance measures in terms of the average latency, the throughput and the channel switching ratio as well. A profit function is created; the access threshold is optimized for different super-slot sizes and the system experiments are conducted via the use of the optimization results. The experiment results show that a reasonable access threshold and a proper super-slot size can improve the transmission quality for the cognitive users.
金顺福, 代羽. 带有接入阈值和超时隙的认知无线网络频谱分配策略[J]. 电子与信息学报, 2014, 36(8): 1817-1823.
Jin Shun-Fu, Dai Yu. A Spectrum Allocation Strategy with an Access Threshold and Super-slot in Cognitive Radio Networks. , 2014, 36(8): 1817-1823.
2014, Vol. 36 
