Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system

Ali Arshad Nasir; Duy Trong Ngo; Hoang Duong Tuan; Salman Durrani

doi:10.1109/GlobalSIP.2015.7418427

Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system

Ali Arshad Nasir, Duy Trong Ngo, Hoang Duong Tuan, Salman Durrani

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

7 Scopus citations

Abstract

Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution. We propose an efficient spectral optimization method by expressing the rank-one constraints as a single reverse convex nonsmooth constraint and incorporating it in the optimization objective. The proposed algorithm practically achieves the theoretical bound given by SDP relaxation with almost similar complexity.

Original language	English
Title of host publication	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1392-1396
Number of pages	5
ISBN (Electronic)	9781479975914
DOIs	https://doi.org/10.1109/GlobalSIP.2015.7418427
State	Published - 23 Feb 2016
Externally published	Yes

Publication series

Name	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Nonsmooth optimization
semidefinite programming
simultaneous wireless information and power transfer
transmit beamforming

ASJC Scopus subject areas

Information Systems
Signal Processing

Access to Document

10.1109/GlobalSIP.2015.7418427

Cite this

Nasir, A. A., Ngo, D. T., Tuan, H. D., & Durrani, S. (2016). Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 (pp. 1392-1396). Article 7418427 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2015.7418427

Nasir, Ali Arshad ; Ngo, Duy Trong ; Tuan, Hoang Duong et al. / Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system. 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1392-1396 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015).

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abstract = "Considering a dense small-cell network with simultaneous wireless information and power transfer (SWIPT), this work jointly designs transmit beamformers at the base stations (BSs) and receive power splitting ratios at the users (UEs). Our objectives is to maximize the minimum UE signal-to-interference-plus-noise-ratio (SINR) under BS transmit power and UE minimum harvested energy constraints. This problem is highly nonconvex, for which semidefinite programming (SDP) relaxation may even fail to locate a feasible solution. We propose an efficient spectral optimization method by expressing the rank-one constraints as a single reverse convex nonsmooth constraint and incorporating it in the optimization objective. The proposed algorithm practically achieves the theoretical bound given by SDP relaxation with almost similar complexity.",

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Nasir, AA, Ngo, DT, Tuan, HD & Durrani, S 2016, Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system. in 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015., 7418427, 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1392-1396. https://doi.org/10.1109/GlobalSIP.2015.7418427

Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system. / Nasir, Ali Arshad; Ngo, Duy Trong; Tuan, Hoang Duong et al.
2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1392-1396 7418427 (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015).

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

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Nasir AA, Ngo DT, Tuan HD, Durrani S. Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system. In 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1392-1396. 7418427. (2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015). doi: 10.1109/GlobalSIP.2015.7418427

Iterative optimization for max-min SINR in dense small-cell multiuser MISO SWIPT system

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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