Abstract

In this paper, we consider the problem of minimizing the total transmit power with power control and resource allocation in OFDM networks where mutual interference exists among cells. The signal-to-interference-and-noise-ratio (SINR) relation is interpreted by the load and power coupling model, where every resource is available for each user with a probability. These probability variables can be also named as load vector. To solve this problem, we develop one low-complexity distributed power control and resource allocation algorithm. Specially, each BS updates its load vector, power vector, rate vector information and broadcasts it to all other BSs. Having collected all the information, each BS calculates its own load vector, power vector and rate vector by solving a convex program and a linear program. Compared with the existing optimization algorithm, where each resource is allocated to at most one user in a period of time, our algorithm has lower computational complexity. Numerical results verify the effectiveness and convergence of our proposed algorithm.

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