8th International Conference on Mobile Multimedia Communications

Research Article

Resource Allocation Algorithm for the Downlink of Multi-user OFDM System Based on Fairness

  • @INPROCEEDINGS{10.4108/icst.mobimedia.2015.259085,
        author={Hai Yan Cao and Limei Tang and Jun Li and Xin Fang},
        title={Resource Allocation Algorithm for the Downlink of Multi-user OFDM System Based on Fairness},
        proceedings={8th International Conference on Mobile Multimedia Communications},
        publisher={ACM},
        proceedings_a={MOBIMEDIA},
        year={2015},
        month={8},
        keywords={ofdm fairness data rate resource allocation algorithm},
        doi={10.4108/icst.mobimedia.2015.259085}
    }
    
  • Hai Yan Cao
    Limei Tang
    Jun Li
    Xin Fang
    Year: 2015
    Resource Allocation Algorithm for the Downlink of Multi-user OFDM System Based on Fairness
    MOBIMEDIA
    ICST
    DOI: 10.4108/icst.mobimedia.2015.259085
Hai Yan Cao1,*, Limei Tang2, Jun Li3, Xin Fang3
  • 1: Hangzhou Dianzi University
  • 2: College of Communication Engineering Hangzhou Dianzi University Hangzhou, China
  • 3: National Mobile Communications Research Laboratory Southeast University Nanjing, China
*Contact email: caohy@hdu.edu.cn

Abstract

This paper studies the resource allocation algorithm for the downlink of multi-user OFDM system based on fairness. The transmit capacity of the OFDM system is improved according to the requirements of the users’ data rate. To reduce the complexity of the algorithm, sub-carriers and power are allocated separately. We allocate the sub-carriers following the principle of proportional fairness. First, assign one sub-carrier for each user, and then allocate the remaining sub-carriers for considering with the users’ data rate and the predetermined ratio of users’ rate. Power allocated to each user is determined by the number of sub-carriers the user has obtained. And then it is distributed to each sub-carrier in the same user according to the water-filling algorithm. Simulation results show that the algorithm improves the overall rate of the system while ensuring the performance of fairness better compared with the sub-optimal algorithm in [1].