Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties

Suhaib M. Al-Basit; Jingjing Cui; Yuanwei Liu; Zhiguo Ding; Pingzhi Fan

doi:10.1109/ICCChina.2017.8330372

Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties

Suhaib M. Al-Basit
, Jingjing Cui
, Yuanwei Liu
, Zhiguo Ding
, Pingzhi Fan

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

4 Scopus citations

Abstract

This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design.

Original language	English
Title of host publication	2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538645024
DOIs	https://doi.org/10.1109/ICCChina.2017.8330372
State	Published - 2 Jul 2017
Externally published	Yes

Publication series

Name	2017 IEEE/CIC International Conference on Communications in China, ICCC 2017
Volume	2018-January

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

S-Procedure
bisection algorithm
imperfect channel state information (ICSI)
non-orthogonal multiple access (NOMA)
semidefinite programming (SDP)

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Signal Processing

Access to Document

10.1109/ICCChina.2017.8330372

Cite this

Al-Basit, S. M., Cui, J., Liu, Y., Ding, Z., & Fan, P. (2017). Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties. In 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017 (pp. 1-6). (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCChina.2017.8330372

Al-Basit, Suhaib M. ; Cui, Jingjing ; Liu, Yuanwei et al. / Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties. 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-6 (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017).

@inproceedings{6185c6629b5945c9854728bbff34ef80,

title = "Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties",

abstract = "This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design.",

keywords = "S-Procedure, bisection algorithm, imperfect channel state information (ICSI), non-orthogonal multiple access (NOMA), semidefinite programming (SDP)",

author = "Al-Basit, \{Suhaib M.\} and Jingjing Cui and Yuanwei Liu and Zhiguo Ding and Pingzhi Fan",

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year = "2017",

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doi = "10.1109/ICCChina.2017.8330372",

language = "English",

series = "2017 IEEE/CIC International Conference on Communications in China, ICCC 2017",

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Al-Basit, SM, Cui, J, Liu, Y, Ding, Z & Fan, P 2017, Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties. in 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6. https://doi.org/10.1109/ICCChina.2017.8330372

Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties. / Al-Basit, Suhaib M.; Cui, Jingjing; Liu, Yuanwei et al.
2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017; Vol. 2018-January).

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

TY - GEN

T1 - Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties

AU - Al-Basit, Suhaib M.

AU - Cui, Jingjing

AU - Liu, Yuanwei

AU - Ding, Zhiguo

AU - Fan, Pingzhi

PY - 2017/7/2

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N2 - This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design.

AB - This letter examines the robust beamforming design multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) downlink systems with imperfect channel state information (ICSI). Sparked by the worst-case performance optimization framework, we consider to maximize the minimum of received signal-to-interference-plus-noise ratios (SINRs) of users, which is not convex with regards of beamforming vectors. The formulated optimization problem is not convex so, to solve the challengeable problem, we first formulate a equivalent optimization problem based on semidefinite programming (SDP). By applying a rank one relaxation and a linear matrix inequality (LMI) the S-Procedure can be used, which leads to exploiting bisection algorithm in order to obtaining the robust optimal beamforming solution. Finally, simulation results demonstrate the proposed design.

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Al-Basit SM, Cui J, Liu Y, Ding Z, Fan P. Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties. In 2017 IEEE/CIC International Conference on Communications in China, ICCC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-6. (2017 IEEE/CIC International Conference on Communications in China, ICCC 2017). doi: 10.1109/ICCChina.2017.8330372

Maximizing SINR for non-orthogonal multiple access with bounded channel uncertainties

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this