Mobility Investigate

Local Interference Pricing for Distributed Beamforming in MIMO Networks

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Executive Summary

The authors study a distributed algorithm for adjusting beamforming vectors in a peer-to-peer wireless network with Multiple-Input Multiple-Output (MIMO) channels. Each transmitter precoding matrix has rank one, and a linear Minimum Mean Squared Error (MMSE) filter is applied at each receiver. Their objective is to maximize the total utility summed over all users, where each user's utility is a function of the received Signal-to-Interference-plus-Noise Ratio (SINR). Given all users' beamforming vectors and receive filters, each receiver announces an interference price, representing the marginal cost of interference from other users. A particular transmitter updates its beamforming vector to maximize its utility minus the interference cost to other users.

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