—We present a distributed algorithm for allocating power among multiple interfering transmitters in a wireless network using Orthogonal Frequency Division Multiplexing (OFDM). The algorithm attempts to maximize the sum over user utilities, where each user’s utility is a function of his total transmission rate. Users exchange interference prices reflecting the marginal cost of interference on each sub-channel, and then update their power allocations given the interference prices and their own channel conditions. A similar algorithm was studied earlier assuming that each user’s utility function is a separable function of the user’s rate per sub-channel. Here, we do not assume this separability. We give a different algorithm for updating each user’s power allocation and show that this algorithm converges monotonically. Numerical results comparing this algorithm to several others are also presented.
Changxin Shi, Randall A. Berry, Michael L. Honig