TY - JOUR
T1 - Distributed beamforming techniques for weighted sum-rate maximization in MISO interference channels
AU - Park, Seok Hwan
AU - Park, Haewook
AU - Lee, Inkyu
N1 - Funding Information:
Manuscript received September 4, 2010. The associate editor coordinating the review of this letter and approving it for publication was Y. Chen. The authors are with the School of Electrical Eng., Korea University, Seoul, Korea (e-mail: shpark@wireless.korea.ac.kr, {jetaime01, inkyu}@korea.ac.kr). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2010-0017909). Digital Object Identifier 10.1109/LCOMM.2010.12.101635 1Receivers in SUD treat the interference signals as noise [1]–[4]. 2The Pareto boundary consists of rate-tuples where one can improve a particular user’s rate only by simultaneously decreasing the rate of at least one of the other users and its detailed definition is provided in [1].
PY - 2010/12
Y1 - 2010/12
N2 - 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.
AB - 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.
KW - Distributed beamforming
KW - interference channel
KW - weighted sum-rate maximization
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U2 - 10.1109/LCOMM.2010.12.101635
DO - 10.1109/LCOMM.2010.12.101635
M3 - Article
AN - SCOPUS:78650002985
VL - 14
SP - 1131
EP - 1133
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 12
M1 - 5610967
ER -