认知无线电网络中基于跨层设计的能效优化算法

发布时间：2018-06-02 11:49

本文选题：认知无线电网络 + 连续时间马尔科夫理论　；参考：《信号处理》2014年04期

【摘要】：为提高认知无线电网络中次用户节点的能量有效性,该文基于连续时间马尔科夫理论对次用户的频谱感知和接入过程进行联合建模,对影响次用户传输能效的主要因素进行了分析,提出了一种基于跨层设计的能量有效优化算法。该算法可有效减小主用户非时隙返回信道对次用户能量有效性的影响,并通过联合优化感知时间和接入概率,使次用户在感知性能和传输能效间实现了有效折衷。仿真结果表明,本文算法相对于仅考虑频谱感知或接入策略的单层优化算法,可使次用户的能量有效性得到较大提高。
[Abstract]:In order to improve the energy efficiency of secondary users in cognitive radio networks, this paper models the spectrum sensing and access process of secondary users based on continuous time Markov theory. In this paper, the main factors affecting the energy efficiency of secondary users are analyzed, and an energy efficient optimization algorithm based on cross-layer design is proposed. The proposed algorithm can effectively reduce the influence of the primary non-slot return channel on the energy efficiency of the secondary user. By jointly optimizing the sensing time and the access probability, the secondary user can achieve an effective tradeoff between perceived performance and transmission energy efficiency. Simulation results show that the proposed algorithm can greatly improve the energy efficiency of secondary users compared with the single-layer optimization algorithm which only considers spectrum sensing or access strategy.
【作者单位】：信息工程大学信息系统工程学院;65017部队;
【基金】：国家高技术研究发展计划(2012AA121606)
【分类号】：TN925

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