In order to maximize the throughput of Cognitive Radio Users (CRU) and guarantee CRUs' Quality of Service (QoS) requirements, jointly optimizing sensing time and resource allocation was investigated. Based on this problem, a joint allocation of sensing time and resource algorithm was proposed. In multichannel cognitive radio networks, both spectrum sensing and resource allocation could influence the network throughput. Original joint optimization problem which considers both issues can be divided into two sub-optimization problems: transmit power and channel allocation problem with fixed sensing time, and one-dimensional exhaustive search for optimal sensing time with fixed resource allocation strategy. Using the proposed algorithm, the optimal sensing time can be obtained by exhaustive search and the optimal resource allocation strategy can be achieved by subgradient method. Simulation results show that the proposed optimized sensing time and resource allocation algorithm can maximize the throughput of cognitive radio networks. Furthermore, QoS requirements of CRU can be guaranteed.
李李. 认知无线电网络基于QoS的监听时间与资源联合分配[J]. 计算机应用, 2015, 35(5): 1230-1233.
LI Li. QoS-aware joint allocation of sensing time and resource in cognitive radio networks. Journal of Computer Applications, 2015, 35(5): 1230-1233.
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2015, Vol. 35 
