@inproceedings{6483356,
 abstract = {Optimal precoder design for weighted sum-rate maximization in multiple-input multiple-output interference networks is studied. For this well known non-convex optimization problem, convex approximations based on interference alignment are developed, for both single-beam and multi-beam cases. Precoder design methods that consist of two phases, an interference alignment phase and a post-alignment optimization phase, are proposed. The interference alignment solution is taken as the input to the post-alignment optimization phase. For post-alignment weighted sum-rate maximization, novel iterative distributed algorithms are proposed based on the developed convex approximations. Simulation results show that the proposed algorithms achieve promising weighted sum-rate gains over existing interference alignment algorithms. Interestingly, for the multi-beam case, significant gain is achieved at all SNRs, including the high SNR regime.},
 author = {Yue Zhao and Diggavi, S.N. and Goldsmith, A and Poor, H.V.},
 booktitle = {Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on},
 doi = {10.1109/Allerton.2012.6483356},
 file = {:papers:convex_opt_precoder.pdf},
 month = {Oct},
 pages = {1213-1219},
 tags = {conf,WiNet,IT},
 title = {Convex optimization for precoder design in MIMO interference networks},
 type = {4},
 year = {2012}
}

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