Multi-objective resource allocation in NOMA cognitive radios based on a practical non-linear energy harvesting model

Yuhao Wang, Yuhang Wu, Fuhui Zhou, Yongpeng Wu, Zheng Chu, Yingjiao Wang

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

4 Citations (Scopus)

Abstract

In this paper, a non-orthogonal multiple access cognitive radio network with simultaneous wireless information and power transfer is studied under a practical non-linear energy harvesting model. A multi-objective optimization problem(MOOP) is formulated to maximize the harvesting power of each energy harvesting receiver. This problem is non-convex and challenging to be solved. The weighted Tchebycheff method is applied to solve the formulated problem. It is shown that the performance achieved under the non-linear energy harvesting model is better than that obtained under the linear energy harvesting mode.

Original languageEnglish
Title of host publication2017 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538620625
DOIs
Publication statusPublished - 7 Dec 2017
Externally publishedYes
Event9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Nanjing, China
Duration: 11 Oct 201713 Oct 2017

Publication series

Name2017 9th International Conference on Wireless Communications and Signal Processing, WCSP 2017 - Proceedings
Volume2017-January

Conference

Conference9th International Conference on Wireless Communications and Signal Processing, WCSP 2017
Country/TerritoryChina
CityNanjing
Period11/10/1713/10/17

Keywords

  • cognitive radio
  • multi-objective optimization
  • non-linear energy harvesting model
  • non-orthogonal multiple access

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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