The Fourth Generation Wireless Communications and Beyond

Research Article

Uplink Power Allocation for Interference Coordination in Multi-Cell OFDM Systems

  • @INPROCEEDINGS{10.1109/CHINACOM.2008.4685124,
        author={Tiankui Zhang and Zhimin Zeng and Chunyan Feng and Jie Cheng and Lianbo Song},
        title={Uplink Power Allocation for Interference Coordination in Multi-Cell OFDM Systems},
        proceedings={The Fourth Generation Wireless Communications and Beyond},
        keywords={Multi-cell OFDM systems power allocation uplink co-channel interference interference coordination},
  • Tiankui Zhang
    Zhimin Zeng
    Chunyan Feng
    Jie Cheng
    Lianbo Song
    Year: 2008
    Uplink Power Allocation for Interference Coordination in Multi-Cell OFDM Systems
    DOI: 10.1109/CHINACOM.2008.4685124
Tiankui Zhang1, Zhimin Zeng1, Chunyan Feng1, Jie Cheng1, Lianbo Song1
  • 1: Institute of Communication Networks Integrated Technology, Beijing University of Posts and Telecommunications, Beijing 100876, P.R. China


In multi-cell orthogonal frequency division multiplexing cellular systems, the co-channel interference (CCI) from adjacent cells becomes the dominant interference. Considering the CCI in multiple cells, the optimal solution for data rate maximization is derived from the dual decomposition method. Based on the optimal solution, a simplified uplink distributed power allocation (UDPA) algorithm is proposed. In this simplified algorithm, the Lagrangian multiplier is determined off-line and the power allocation iterative function is updated in every transmit time interval (TTI). The UDPA only needs the traffic loading information in adjacent cells and the local information of each user, and performs power allocation in a distributed way, which is easily realized and reduces overhead cost. In the simulation, the parameter and convergence of the UDPA algorithm is analyzed and the performance is compared with optimal power allocation and equal power allocation. The simulation results show that the proposed algorithm exploits the spectral diversity gain on the co-channel in adjacent cells, so the system throughput is improved.