Delay Minimization in Multiple Access Channels

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Executive Summary

The authors investigate a delay minimization problem in a multiple access wireless communication system. They consider a discrete-time non-fading Additive White Gaussian Noise (AWGN) multiple access channel. In each slot, bits arrive at the transmitters randomly according to some distribution, which is i.i.d. from user to user and from slot to slot. Each transmitter has an average power constraint of P. Their goal is to allocate rates to users, from the multiple access capacity region, based on their current queue lengths, in order to minimize the average delay of the system. They formulate the problem as a Markov Decision Problem (MDP) with an average cost criterion.

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