Bi-Criteria Optimisation for Energy Harvesting Relaying: Formulation and Algorithm Implementation

Dokhyl Alqahtani, Yunfei Chen

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper proposes a bi-criteria optimisation frame-work that maximises both the network rate and the harvested energy, which are contradictory objectives. Using the practical non-linear energy harvesting (EH) model, we jointly optimise re-lay selection (RS), power splitting (PS) and power allocation (PA). We decouple the relay selection variables from the other resource allocation variables to convert the original mixed-integer non-linear programming (MINLP) problem into a tractable problem. For PS and PA, the well-known -constraint method is applied to convert the bi-criteria problem into a convex problem. For RS, we propose a sub-optimal algorithm based on a selection order function with linear complexity. The simulation results indicate that the proposed schemes perform better than the benchmarks, drastically reducing computational complexity from exponential to polynomial.

Original languageEnglish
Pages (from-to)849-854
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE Global Communications Conference, GLOBECOM 2022 - Rio de Janeiro, Brazil
Duration: 4 Dec 20228 Dec 2022

Keywords

  • -constraint method
  • Bi-Criteria optimisation
  • mixed-integer non-linear programming
  • non-linear energy harvesting model
  • relay selection

Fingerprint

Dive into the research topics of 'Bi-Criteria Optimisation for Energy Harvesting Relaying: Formulation and Algorithm Implementation'. Together they form a unique fingerprint.

Cite this