Distributed Beamforming Techniques for Weighted Sum-Rate Maximization in MISO Interfering Broadcast Channels

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 o...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2012-04, Vol.11 (4), p.1314-1320
Main Authors: CHOI, Hyun-Joo, PARK, Seok-Hwan, LEE, Sang-Rim, LEE, Inkyu
Format: Article
Language:English
Subjects:
Algorithms
Antennas
Applied sciences
Array signal processing
Beamforming
Beamforming technique
Broadcasting
Channels
Convergence
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Interference
interfering broadcast channels
Mathematical analysis
Mathematical models
Matrix decomposition
Maximization
Signal and communications theory
Signal to noise ratio
Signal, noise
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Vectors
Vectors (mathematics)
weighted sum-rate
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Summary: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.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2012.021412.111551