A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming

Mahmoud T. Kabir; Muhammad R. A. Khandaker; Christos Masouros

doi:10.1109/WCNC.2019.8885674

A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming

Mahmoud T. Kabir, Muhammad R. A. Khandaker, Christos Masouros

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

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Abstract

In this paper, we consider a multiuser single-cell transmission facilitated by a full duplex (FD) base station (BS). We formulate two multi-objective optimization problems (MOOPs) via the weighted Tchebycheff method to jointly minimize the two desirable system design objectives namely the total downlink and uplink transmit power. In the first MOOP, multiuser interference is suppressed while in the second MOOP, multiuser interference is rather exploited. In order to solve the non-convex MOOPs, we propose a two-step iterative algorithm to optimize jointly the receive beamformer, transmit beamformer and uplink transmit power, respectively. Simulation results show the proposed scheme achieves a scalable performance-complexity trade-off that allows performance improvements compared to existing solutions.

Original language	English
Title of host publication	2019 IEEE Wireless Communications and Networking Conference (WCNC)
Publisher	IEEE
ISBN (Electronic)	9781538676462
DOIs	https://doi.org/10.1109/WCNC.2019.8885674
Publication status	Published - 31 Oct 2019
Event	2019 IEEE Wireless Communications and Networking Conference - Marrakesh, Morocco Duration: 15 Apr 2019 → 19 Apr 2019

Publication series

Name	Wireless Communications and Networking Conference
ISSN (Print)	1525-3511
ISSN (Electronic)	1558-2612

Conference

Conference	2019 IEEE Wireless Communications and Networking Conference
Abbreviated title	WCNC 2019
Country/Territory	Morocco
City	Marrakesh
Period	15/04/19 → 19/04/19

Keywords

beamforming
full-duplex
multi-objective optimization

ASJC Scopus subject areas

General Engineering

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10.1109/WCNC.2019.8885674

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title = "A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming",

abstract = "In this paper, we consider a multiuser single-cell transmission facilitated by a full duplex (FD) base station (BS). We formulate two multi-objective optimization problems (MOOPs) via the weighted Tchebycheff method to jointly minimize the two desirable system design objectives namely the total downlink and uplink transmit power. In the first MOOP, multiuser interference is suppressed while in the second MOOP, multiuser interference is rather exploited. In order to solve the non-convex MOOPs, we propose a two-step iterative algorithm to optimize jointly the receive beamformer, transmit beamformer and uplink transmit power, respectively. Simulation results show the proposed scheme achieves a scalable performance-complexity trade-off that allows performance improvements compared to existing solutions.",

keywords = "beamforming, full-duplex, multi-objective optimization",

author = "Kabir, {Mahmoud T.} and Khandaker, {Muhammad R. A.} and Christos Masouros",

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series = "Wireless Communications and Networking Conference",

publisher = "IEEE",

booktitle = "2019 IEEE Wireless Communications and Networking Conference (WCNC)",

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note = "2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 ; Conference date: 15-04-2019 Through 19-04-2019",

}

Kabir, MT, Khandaker, MRA & Masouros, C 2019, A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming. in 2019 IEEE Wireless Communications and Networking Conference (WCNC)., 8885674, Wireless Communications and Networking Conference, IEEE, 2019 IEEE Wireless Communications and Networking Conference, Marrakesh, Morocco, 15/04/19. https://doi.org/10.1109/WCNC.2019.8885674

A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming. / Kabir, Mahmoud T.; Khandaker, Muhammad R. A.; Masouros, Christos.
2019 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2019. 8885674 (Wireless Communications and Networking Conference).

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

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T1 - A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming

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AU - Masouros, Christos

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N2 - In this paper, we consider a multiuser single-cell transmission facilitated by a full duplex (FD) base station (BS). We formulate two multi-objective optimization problems (MOOPs) via the weighted Tchebycheff method to jointly minimize the two desirable system design objectives namely the total downlink and uplink transmit power. In the first MOOP, multiuser interference is suppressed while in the second MOOP, multiuser interference is rather exploited. In order to solve the non-convex MOOPs, we propose a two-step iterative algorithm to optimize jointly the receive beamformer, transmit beamformer and uplink transmit power, respectively. Simulation results show the proposed scheme achieves a scalable performance-complexity trade-off that allows performance improvements compared to existing solutions.

AB - In this paper, we consider a multiuser single-cell transmission facilitated by a full duplex (FD) base station (BS). We formulate two multi-objective optimization problems (MOOPs) via the weighted Tchebycheff method to jointly minimize the two desirable system design objectives namely the total downlink and uplink transmit power. In the first MOOP, multiuser interference is suppressed while in the second MOOP, multiuser interference is rather exploited. In order to solve the non-convex MOOPs, we propose a two-step iterative algorithm to optimize jointly the receive beamformer, transmit beamformer and uplink transmit power, respectively. Simulation results show the proposed scheme achieves a scalable performance-complexity trade-off that allows performance improvements compared to existing solutions.

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A Scalable Performance-Complexity Trade-off for Full Duplex Beamforming

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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