Sum-throughput maximization for NOMA-Based WPCN with signal alignment

Dongyeong Song, Wonjae Shin, Jungwoo Lee, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we consider wireless powered communication networks (WPCNs) consisting of a power beacon (PB) with a single antenna, a base station (BS) with M antennas, and 2M energy harvesting users with N antennas, where N > M/2. A PB transfers energy to the users during downlink and the users transmit information using the harvested energy during uplink, where non-orthogonal multiple access (NOMA) is adopted. For NOMA, signal alignment is exploited to reduce the number of messages decoded by successive interference cancellation (SIC). The transmit/receive beamforming matrices can be further optimized in order to maximize the signal to noise ratios (SNRs) of the aligned signals. A sum-throughput maximization problem for the considered network is formulated, and is then transformed into an equivalent problem which is convex with respect to the time and energy resources. A novel algorithm to maximize the sum-throughput as well as to determine the beamforming matrices is presented.

Original languageEnglish (US)
Title of host publication2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728174402
DOIs
StatePublished - Jun 2020
Event2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Dublin, Ireland
Duration: Jun 7 2020Jun 11 2020

Publication series

Name2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings

Conference

Conference2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020
Country/TerritoryIreland
CityDublin
Period6/7/206/11/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management
  • Control and Optimization

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