A novel uplink MIMO transmission scheme in a multicell environment
IEEE Transactions on Wireless Communications
Linear precoder designs for K-user interference channels
IEEE Transactions on Wireless Communications
Complete Characterization of the Pareto Boundary for the MISO Interference Channel
IEEE Transactions on Signal Processing - Part II
IEEE Journal on Selected Areas in Communications
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This letter proposes a beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output (MISO) interference channels. In order to solve the WSR maximization problem in a distributed manner, we obtain a decoupled problem by applying high signal-to-interference-plus-noise-ratio (SINR) approximation. When there are more than two users, further approximation is employed to fully decouple the problem. Then, the decoupled problems are solved by using a zero-gradient (ZG) based algorithm which converges to a local optimal point with only a few iterations. Unlike the conventional distributed schemes where additional information should be exchanged at each iteration, each transmitter of the proposed scheme utilizes only local channel information to compute its beamformer.