Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System

Dingjia Lin*, Suhaib M. Al Basit*, Kaidi Wang*, Zhiguo Ding*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper investigates a backscatter communication non-orthogonal multiple access (BackCom NOMA) system with a multi-antenna single access point (AP), where both downlink users and BackCom devices (BDs) have one antenna, and users possess perfect channel state information (CSI) while the AP has imperfect channel information. We optimize the sum uplink rate by adjusting beamforming vectors and reflection indices. Utilizing the S-procedure to address channel uncertainties and applying semidefinite relaxation (SDR) for problem convexification, we achieve a sub-optimal solution via an alternating optimization approach. Simulation results demonstrate the superiority of our proposed scheme compared to traditional user-focused power allocation strategies in sum uplink rate.

Original languageEnglish
Title of host publication2024 19th International Symposium on Wireless Communication Systems, ISWCS 2024
PublisherVDE Verlag GmbH
ISBN (Electronic)9798350362510
DOIs
StatePublished - 2024
Externally publishedYes
Event19th International Symposium on Wireless Communication Systems, ISWCS 2024 - Rio de Janeiro, Brazil
Duration: 14 Jul 202417 Jul 2024

Publication series

NameProceedings of the International Symposium on Wireless Communication Systems
ISSN (Print)2154-0217
ISSN (Electronic)2154-0225

Conference

Conference19th International Symposium on Wireless Communication Systems, ISWCS 2024
Country/TerritoryBrazil
CityRio de Janeiro
Period14/07/2417/07/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Backscatter communication (BackCom)
  • S-procedure
  • imperfect channel state information (CSI)
  • non-orthogonal multiple access (NOMA)
  • semidefinite relaxation (SDR)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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