Sum Computation Rate Maximization in Self-Sustainable RIS-Assisted MEC

Han Li, Ming Liu, Bo Gao, Ke Xiong, Pingyi Fan, Khaled B. Letaief

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

1 Citation (Scopus)

Abstract

This paper studies a self-sustainable reconfigurable intelligent surface (SRIS)-assisted mobile edge computing (MEC) network, where a SRIS first harvests energy from a hybrid access point (HAP), and then enhances the users' offloading performance with the harvested energy. To improve computing efficiency, a sum computation rate maximization problem is formulated. Based on the alternating optimization (AO) method, an efficient algorithm is proposed to solve the formulated non-convex problem. Simulations show that when the SRIS is deployed closer to the HAP, a higher performance gain can be achieved.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665494274
DOIs
Publication statusPublished - 2023
Event2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 - Hoboken, United States
Duration: 20 May 202320 May 2023

Publication series

NameIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

Conference

Conference2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
Country/TerritoryUnited States
CityHoboken
Period20/05/2320/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Self-sustainable reconfigurable intelligent surface
  • mobile edge computing

Fingerprint

Dive into the research topics of 'Sum Computation Rate Maximization in Self-Sustainable RIS-Assisted MEC'. Together they form a unique fingerprint.

Cite this