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

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

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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 languageEnglish
Title of host publication2019 IEEE Wireless Communications and Networking Conference (WCNC)
PublisherIEEE
ISBN (Electronic)9781538676462
DOIs
Publication statusPublished - 31 Oct 2019
Event2019 IEEE Wireless Communications and Networking Conference - Marrakesh, Morocco
Duration: 15 Apr 201919 Apr 2019

Publication series

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

Conference

Conference2019 IEEE Wireless Communications and Networking Conference
Abbreviated titleWCNC 2019
CountryMorocco
CityMarrakesh
Period15/04/1919/04/19

Keywords

  • beamforming
  • full-duplex
  • multi-objective optimization

ASJC Scopus subject areas

  • Engineering(all)

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    Kabir, M. T., Khandaker, M. R. A., & 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. https://doi.org/10.1109/WCNC.2019.8885674