Energy-Efficient Scheduling in RIS-aided MEC Networks with NOMA and Finite Blocklength Codes

Yang Yang, M. Cenk Gursoy

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

Abstract

In this paper, energy efficiency is analyzed in a reconfigurable intelligent surface (RIS) aided mobile edge computing (MEC) network. The offloading decisions at the user equipments (UEs), computational resource allocation strategies at the MEC server, and the choice of RIS reflecting coefficients are jointly taken into consideration. To address the latency requirements, the use of finite blocklength (FBL) codes is considered in the uplink transmission, which also utilizes non-orthogonal multiple access (NOMA) for improved efficiency in resource usage. A UE-grouping scheme is introduced to group the UEs for NOMA transmission, and a dynamic CPU frequency allocation algorithm at the MEC server is developed. The primary objective is to maximize the overall energy efficiency of the RIS-aided MEC network under both decoding error rate and latency constraints. For this purpose, a four-step algorithm is devised to optimize RIS reflecting coefficients, offloaded data bits, offloading blocklength, and MEC frequency allocations. Simulation results illustrate the effectiveness of our proposed algorithm and the importance of UE scheduling with NOMA transmission.

Original languageEnglish (US)
Title of host publication2022 International Symposium on Wireless Communication Systems, ISWCS 2022
PublisherVDE Verlag GmbH
ISBN (Electronic)9781665455442
DOIs
StatePublished - 2022
Event2022 International Symposium on Wireless Communication Systems, ISWCS 2022 - Hangzhou, China
Duration: Oct 19 2022Oct 22 2022

Publication series

NameProceedings of the International Symposium on Wireless Communication Systems
Volume2022-October
ISSN (Print)2154-0217
ISSN (Electronic)2154-0225

Conference

Conference2022 International Symposium on Wireless Communication Systems, ISWCS 2022
Country/TerritoryChina
CityHangzhou
Period10/19/2210/22/22

Keywords

  • edge computing
  • energy efficiency
  • finite blocklength regime (FBL)
  • non-orthogonal multiple access (NOMA)
  • Reconfigurable intelligent surface (RIS)

ASJC Scopus subject areas

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

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