9th International Conference on Communications and Networking in China

Research Article

Joint Utility Optimization Resource Allocation Scheme for Cognitive Relay Networks

  • @INPROCEEDINGS{10.4108/icst.chinacom.2014.256223,
        author={Qian-bin Chen and xiao sun and Rong Chai and Panpan Wang},
        title={Joint Utility Optimization Resource Allocation Scheme for Cognitive Relay Networks},
        proceedings={9th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={1},
        keywords={cognitive relay network joint optimization resource allocation sub-channel assignment relay selection power allocation},
        doi={10.4108/icst.chinacom.2014.256223}
    }
    
  • Qian-bin Chen
    xiao sun
    Rong Chai
    Panpan Wang
    Year: 2015
    Joint Utility Optimization Resource Allocation Scheme for Cognitive Relay Networks
    CHINACOM
    IEEE
    DOI: 10.4108/icst.chinacom.2014.256223
Qian-bin Chen1, xiao sun1,*, Rong Chai1, Panpan Wang1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: 575685159@qq.com

Abstract

In a cognitive relay network (CRN) consisting of multiple pairs of PUs and CUs, the resource allocation issues, specifically, the spectrum and power allocation and relay selection for secondary users (SUs) have to be considered to support efficient spectrum sharing among primary users (PUs) and SUs and providing quality of service (QoS) guarantees for both PUs and SUs. In this paper, we address the issue of resource allocation in CRNs and formulate the utility of all SUs as a function of node transmission mode, transmission power and subchannel allocation strategy and relay selection scheme. Through maximizing the utility function subject to multiple resource allocation constraints, the optimal transmission mode, relay selection, transmission power and subchannel allocation strategy is obtained. Simulation results demonstrate that proposed scheme enables joint performance optimization of SUs and outperforms previously proposed schemes.