Distributed beamformer design under mixed SINR balancing and SINR-target-constraints

Bokamoso Basutli; Sangarapillai Lambotharan

doi:10.1109/ICDSP.2015.7251929

Distributed beamformer design under mixed SINR balancing and SINR-target-constraints

Bokamoso Basutli, Sangarapillai Lambotharan

Electrical, Computer & Telecommunications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This work outlines how mixed quality-of-service (QoS) optimization in multi-cell coordinated beamforming (MCBF) can be effectively implemented using distributed algorithms. An alternating direction method of multipliers (ADMM) based algorithm has been adopted to provide distributed beamformer design based on the joint signal-to-interference-plus-noise ratio (SINR) balancing and SINR-target criterion. It is shown through simulations that the proposed algorithm has the ability to converge to optimal centralized solution.

Original language	English
Title of host publication	2015 IEEE International Conference on Digital Signal Processing, DSP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	530-534
Number of pages	5
Volume	2015-September
ISBN (Electronic)	9781479980581, 9781479980581
DOIs	https://doi.org/10.1109/ICDSP.2015.7251929
Publication status	Published - Sep 9 2015
Event	IEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore Duration: Jul 21 2015 → Jul 24 2015

Other

Other	IEEE International Conference on Digital Signal Processing, DSP 2015
Country	Singapore
City	Singapore
Period	7/21/15 → 7/24/15

All Science Journal Classification (ASJC) codes

Signal Processing

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10.1109/ICDSP.2015.7251929

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title = "Distributed beamformer design under mixed SINR balancing and SINR-target-constraints",

abstract = "This work outlines how mixed quality-of-service (QoS) optimization in multi-cell coordinated beamforming (MCBF) can be effectively implemented using distributed algorithms. An alternating direction method of multipliers (ADMM) based algorithm has been adopted to provide distributed beamformer design based on the joint signal-to-interference-plus-noise ratio (SINR) balancing and SINR-target criterion. It is shown through simulations that the proposed algorithm has the ability to converge to optimal centralized solution.",

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Basutli, B & Lambotharan, S 2015, Distributed beamformer design under mixed SINR balancing and SINR-target-constraints. in 2015 IEEE International Conference on Digital Signal Processing, DSP 2015. vol. 2015-September, 7251929, Institute of Electrical and Electronics Engineers Inc., pp. 530-534, IEEE International Conference on Digital Signal Processing, DSP 2015, Singapore, Singapore, 7/21/15. https://doi.org/10.1109/ICDSP.2015.7251929

Distributed beamformer design under mixed SINR balancing and SINR-target-constraints. / Basutli, Bokamoso; Lambotharan, Sangarapillai.

2015 IEEE International Conference on Digital Signal Processing, DSP 2015. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. p. 530-534 7251929.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This work outlines how mixed quality-of-service (QoS) optimization in multi-cell coordinated beamforming (MCBF) can be effectively implemented using distributed algorithms. An alternating direction method of multipliers (ADMM) based algorithm has been adopted to provide distributed beamformer design based on the joint signal-to-interference-plus-noise ratio (SINR) balancing and SINR-target criterion. It is shown through simulations that the proposed algorithm has the ability to converge to optimal centralized solution.

AB - This work outlines how mixed quality-of-service (QoS) optimization in multi-cell coordinated beamforming (MCBF) can be effectively implemented using distributed algorithms. An alternating direction method of multipliers (ADMM) based algorithm has been adopted to provide distributed beamformer design based on the joint signal-to-interference-plus-noise ratio (SINR) balancing and SINR-target criterion. It is shown through simulations that the proposed algorithm has the ability to converge to optimal centralized solution.

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Distributed beamformer design under mixed SINR balancing and SINR-target-constraints

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