Energy Efficiency Analysis in RIS-aided MEC Networks with Finite Blocklength Codes

Yang Yang, Yulin Hu, M. Cenk Gursoy

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

Abstract

Reconfigurable intelligent surfaces (RISs) are considered as an effective means to improve both the spectral efficiency and coverage in wireless systems. By properly setting the phase shift matrix, RIS can enhance the propagation environment. In this paper, we investigate an RIS aided mobile edge computing (MEC) network in the finite blocklength (FBL) regime with the goal to maximize the energy efficiency under both coding length and maximum decoding error rate constraints. We first investigate the single user equipment (UE) scenario and propose a three-step optimization algorithm. To extend the system model, we further investigate the two-UE scenario where non-orthogonal multiple access (NOMA) transmission is adopted. A revised three-step optimization algorithm is demonstrated to address the problem. Numerical results verify that the proposed three-step optimization algorithms can solve the problems in both scenarios efficiently. In particular, the numerical results show that loosening the FBL constraint can improve the performance and a larger CPU frequency at the MEC server leads to an improved energy efficiency. It is also noted that adjusting the RIS phase shift matrix can enhance the signal-to-noise ratio (SNR)/signal-to-interference-plus-noise ratio (SINR) at the BS and improve the decoding error rate under both scenarios.

Original languageEnglish (US)
Title of host publication2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages423-428
Number of pages6
ISBN (Electronic)9781665442664
DOIs
StatePublished - 2022
Event2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
Duration: Apr 10 2022Apr 13 2022

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2022-April
ISSN (Print)1525-3511

Conference

Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Country/TerritoryUnited States
CityAustin
Period4/10/224/13/22

Keywords

  • edge computing
  • energy efficiency
  • finite blocklength regime
  • reconfigurable intelligent surface
  • URLLC

ASJC Scopus subject areas

  • Engineering(all)

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