Abstract
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.
| Original language | English |
|---|---|
| Article number | 5610967 |
| Pages (from-to) | 1131-1133 |
| Number of pages | 3 |
| Journal | IEEE Communications Letters |
| Volume | 14 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
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Keywords
- Distributed beamforming
- interference channel
- weighted sum-rate maximization
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Modelling and Simulation
Cite this
Distributed beamforming techniques for weighted sum-rate maximization in MISO interference channels. / Park, Seok Hwan; Park, Haewook; Lee, Inkyu.
In: IEEE Communications Letters, Vol. 14, No. 12, 5610967, 01.12.2010, p. 1131-1133.Research output: Contribution to journal › Article
}
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
PY - 2010/12/1
Y1 - 2010/12/1
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
UR - http://www.scopus.com/inward/record.url?scp=78650002985&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650002985&partnerID=8YFLogxK
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 -