Abstract
In this letter, we study a linear beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output interfering broadcast channels. We focus on a distributed beamforming scheme which utilizes local channel state information (CSI) to mitigate inter-cell interference. In order to decouple the WSR maximization problem which involves the beamforming vectors of all base stations (BSs) into a distributed WSR problem as a function of local CSI, we apply high signal-to-interference-plus-noise ratio approximation. After defining the distributed WSR function, we solve the decoupled problems by using a zero-gradient based algorithm which converges to a local optimal point. Unlike conventional distributed schemes where additional information should be exchanged at each iteration, each BS of the proposed scheme utilizes only the local CSI to compute its beamforming vectors. Also we prove the convergence of the proposed algorithm. Simulation results show that our proposed algorithm exhibits the WSR performance almost identical to the centralized scheme with substantially reduced overhead.
| Original language | English |
|---|---|
| Article number | 6153325 |
| Pages (from-to) | 1314-1320 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 11 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2012 Apr 1 |
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Keywords
- Beamforming technique
- interfering broadcast channels
- weighted sum-rate
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Applied Mathematics
Cite this
Distributed beamforming techniques for weighted sum-rate maximization in MISO interfering broadcast channels. / Choi, Hyun Joo; Park, Seok Hwan; Lee, Sang Rim; Lee, Inkyu.
In: IEEE Transactions on Wireless Communications, Vol. 11, No. 4, 6153325, 01.04.2012, p. 1314-1320.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Distributed beamforming techniques for weighted sum-rate maximization in MISO interfering broadcast channels
AU - Choi, Hyun Joo
AU - Park, Seok Hwan
AU - Lee, Sang Rim
AU - Lee, Inkyu
PY - 2012/4/1
Y1 - 2012/4/1
N2 - In this letter, we study a linear beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output interfering broadcast channels. We focus on a distributed beamforming scheme which utilizes local channel state information (CSI) to mitigate inter-cell interference. In order to decouple the WSR maximization problem which involves the beamforming vectors of all base stations (BSs) into a distributed WSR problem as a function of local CSI, we apply high signal-to-interference-plus-noise ratio approximation. After defining the distributed WSR function, we solve the decoupled problems by using a zero-gradient based algorithm which converges to a local optimal point. Unlike conventional distributed schemes where additional information should be exchanged at each iteration, each BS of the proposed scheme utilizes only the local CSI to compute its beamforming vectors. Also we prove the convergence of the proposed algorithm. Simulation results show that our proposed algorithm exhibits the WSR performance almost identical to the centralized scheme with substantially reduced overhead.
AB - In this letter, we study a linear beamforming technique for weighted sum-rate (WSR) maximization in multiple-input single-output interfering broadcast channels. We focus on a distributed beamforming scheme which utilizes local channel state information (CSI) to mitigate inter-cell interference. In order to decouple the WSR maximization problem which involves the beamforming vectors of all base stations (BSs) into a distributed WSR problem as a function of local CSI, we apply high signal-to-interference-plus-noise ratio approximation. After defining the distributed WSR function, we solve the decoupled problems by using a zero-gradient based algorithm which converges to a local optimal point. Unlike conventional distributed schemes where additional information should be exchanged at each iteration, each BS of the proposed scheme utilizes only the local CSI to compute its beamforming vectors. Also we prove the convergence of the proposed algorithm. Simulation results show that our proposed algorithm exhibits the WSR performance almost identical to the centralized scheme with substantially reduced overhead.
KW - Beamforming technique
KW - interfering broadcast channels
KW - weighted sum-rate
UR - http://www.scopus.com/inward/record.url?scp=84862813204&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862813204&partnerID=8YFLogxK
U2 - 10.1109/TWC.2012.021412.111551
DO - 10.1109/TWC.2012.021412.111551
M3 - Article
VL - 11
SP - 1314
EP - 1320
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 4
M1 - 6153325
ER -