Distributed power control and scheduling for decentralized OFDMA networks

In this paper, the downlink power control problem in decentralized orthogonal frequency division multiple access (OFDMA) networks is addressed. First, the optimization problem which minimizes the overall transmission power subject to individual rate and power constraints in a decentralized network is considered. An optimal solution requires global link information. However, obtaining such information is almost impossible. This paper introduces a power control and scheduling algorithm which can be implemented in a distributed manner. This algorithm delivers suboptimal solutions, since it is based on local information. However, simulation results show that the suboptimal solutions obtained through this algorithm are close to the global optimum, as long as it exists. Furthermore, it is shown that the obtained solutions are very similar to the ones obtained through a central controller.

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