异构认知网中基于能效的协作技术研究

Network Cooperation for Energy-Efficient Communication in Multi-RAT Heterogeneous Cognitive Radio Networks

针对异构认知网络场景,提出了一种主次系统"双赢"的高能效协作通信机制。在满足主次系统"双重"速率Qo S要求下,该机制允许次级用户在接入主系统协助主用户传输数据的同时,换取一部分授权频谱资源来实现自身数据在异构网中的传输分流,以此提升次级能效。本文研究了该机制的次级加权能效最大化非凸资源优化问题,结合参数化的分式规划算法和黄金分割法提出了一种资源分配的迭代算法。仿真结果表明,所提机制在不降低主用户通信性能的情况下,提升了次级系统传输能效,实现了主次系统传输"双赢"的目的。

An innovative EE-oriented ＇win-win＇ cooperative transmission scheme in heterogeneous cognitive radio networks （Het-CRNs）, called energy-efficient cognitive cooperation （ECC）, in which primary system release a part of its radio spectrum to secondary system in exchange for secondary relay （SR） served as a relay to assist transmission of primary user＇s traffic under the dual quality of service （QoS） requirements. Then, secondary user＇s traffic flow is split into the unlicensed spectrum and the released licensed spectrum to improve EE in Het-CRNs. Based on ECC, we formulate a weighted EE maximization non-convex problem for secondary users. By employing parametric fractional programming and golden section search （GSS） method, an efficient resource allocation policy is developed. Simulation results show that the proposed strategy can gain significantly higher EE without reducing performance of primary transmission, and thus, a ＇win-win＇ goal is achieved.