Centralized power allocation algorithms for OFDM cellular networks

  • Authors:

  • Chi-Hsiao Yih;Evaggelos Geranotis

  • Affiliations:

  • Department of Electrical and Computer Engineering, University of Maryland, College Park, MD;Department of Electrical and Computer Engineering, University of Maryland, College Park, MD

  • Venue:
  • MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
  • Year:
  • 2003

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Abstract

We study the throughput maximization problem of a multi-cell orthogonal frequency division multiplexing (OFDM) network by considering power allocation and adaptive modulation techniques. The throughput maximization problem is formulated as a nonlinear programming problem and the optimum power vector is determined by using the feasible sequential quadratic programming (FSQP). The disadvantage of the FSQP is its slow convergence especially when the number of optimized variables is large. To overcome this drawback, we propose a low-complexity suboptimal power allocation algorithm which updates the power vectors iteratively based on the first order necessary conditions for local optimum points. Simulation results show the proposed power allocation algorithms increase system throughputs from 5% to 30% over the equal power allocation scheme in various channel conditions