8th International Conference on Communications and Networking in China

Research Article

Distributed Multicast Resource Allocation in OFDM-based Cognitive Radio Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694565,
        author={Kewen Yang and Wenjun Xu and Shengyu Li and Jiaru Lin},
        title={Distributed Multicast Resource Allocation in OFDM-based Cognitive Radio Networks},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={distributed resource allocation multiple description coding multicast cognitive radio networks geometric programming multi-cell orthogonal frequency division multiplexing},
        doi={10.1109/ChinaCom.2013.6694565}
    }
    
  • Kewen Yang
    Wenjun Xu
    Shengyu Li
    Jiaru Lin
    Year: 2013
    Distributed Multicast Resource Allocation in OFDM-based Cognitive Radio Networks
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694565
Kewen Yang1,*, Wenjun Xu1, Shengyu Li1, Jiaru Lin1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: ikewen8711@bupt.edu.cn

Abstract

In this paper, the resource allocation problem, which aims to maximize the weighted sum rate in orthogonal frequency division multiplexing based (OFDM-based) multi-cell cognitive radio networks (CRNs) with multiple description coding multicast (MDCM), is investigated. A two-phase distributed scheme including subcarrier assignment and power allocation is proposed. During subcarrier assignment phase, each cell determines the multicast group (MG) selection for each subcarrier and the set of scheduled cognitive radio users (CRUs) in the selected MG by a proposed heuristic scheme to maximize its weighted sum rate under uniform power distribution assumption. During power allocation, each cell allocates power on subcarriers by a proposed distributed geometric programming (GP) power allocation algorithm. Unlike the existing centralized solutions in the literature, it does not require global network information and each cognitive radio (CR) cell performs its own resource allocation through limited collaboration with other CR cells and primary networks (PNs). Numerical results demonstrate the validity of the proposed resource allocation scheme and the advantages of MDCM over conventional multicast (CM).