Download now Free registration required
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.
- Format: PDF
- Size: 147.67 KB