关键词: 多信道认知无线电网络, 资源分配, 监听时间, 服务质量需求

Abstract:

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.

Key words: multichannel cognitive radio network, resource allocation, sensing time, Quality of Service (QoS) requirement