Attention Mechanism-Empowered MADDPG for Distributed Resource Allocation in Cell-Free Mobile Edge Computing

Fitsum Debebe Tilahun, Chung G. Kang

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

2 Citations (Scopus)

Abstract

This paper presents an attention mechanism-empowered multi-agent deep deterministic policy gradient (MADDPG) algorithm for distributed resource allocation in cell-free mobile edge computing (MEC) system. The proposed algorithm leverages the attention mechanism to adaptively weigh the contributions of other agents, outperforming the performance of conventional MADDPG algorithm.

Original languageEnglish
Title of host publication2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1106-1107
Number of pages2
ISBN (Electronic)9798350304572
DOIs
Publication statusPublished - 2024
Event21st IEEE Consumer Communications and Networking Conference, CCNC 2024 - Las Vegas, United States
Duration: 2024 Jan 62024 Jan 9

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN (Print)2331-9860

Conference

Conference21st IEEE Consumer Communications and Networking Conference, CCNC 2024
Country/TerritoryUnited States
CityLas Vegas
Period24/1/624/1/9

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • MADDPG
  • attention mechanism
  • cell-free MEC
  • mobile edge computing (MEC)
  • transformer network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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