Yi Zhang, Yao Wang, Cen Wu, Bin Zhao, Jiamei Chen, Jing Dong
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引用次数: 3
摘要
频谱管理是认知无线电网络中的一个重要问题。然而,目前大多数频谱管理算法没有同时考虑功率控制,这偏离了认知无线电(CR)的初衷。为此,本文提出了一种新的基于连接度成本和奖励(Connection degree cost and Reward Based, CRB)的CR网络频谱管理机制。该算法在保证二级用户服务质量的前提下,合理分配可用资源。并设计了一个新的效用函数来更真实地表征网络模型中的系统总效用。数值结果表明,新算法在系统总效用性能和系统公平性性能上都优于现有方案。
Connection Degree Cost and Reward Based Algorithm in Cognitive Radio Networks
Spectrum management is a vital problem in cognitive radio networks. Unfortunately, most current spectrum management algorithms don't consider power control at the same time, which deviates from the original intention for cognitive radio (CR). Thus, a new spectrum management mechanism named Connection degree cost and Reward Based (CRB) algorithm for CR networks is presented in the paper. The new algorithm allocates available resources properly, while guaranteeing quality of service (QoS) for secondary users (SUs). And a new utility function is designed to characterize the system total utility more realistically in the network model. Numerical results validate the new algorithm gains better performance than the existing schemes both in the system total utility performance and in the system fairness performance.