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In this paper, the problem of allocating users to radio resources (i.e.,subcarriers) in the downlink of an OFDMA cellular network is addressed. Weconsider a multi-cellular environment with a realistic interference model and amargin adaptive approach, i.e., we aim at minimizing total transmission powerwhile maintaining a certain given rate for each user.  The computational complexity issues of the resulting model is discussed andproving that the problem is NP-hard in the strong sense. Heuristic approaches,based on network flow models, that finds optima under suitable conditions, or"reasonably good" solutions in the general case are presented. Computationalexperiences show that, in a comparison with a commercial state-of-the-artoptimization solver, the proposed algorithms are effective in terms of solutionquality and CPU times.

Radio resource allocation in OFDMA multi-cell networks