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 language | English |
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| Title of host publication | 2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1106-1107 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350304572 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 21st IEEE Consumer Communications and Networking Conference, CCNC 2024 - Las Vegas, United States Duration: 2024 Jan 6 → 2024 Jan 9 |
Publication series
| Name | Proceedings - IEEE Consumer Communications and Networking Conference, CCNC |
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| ISSN (Print) | 2331-9860 |
Conference
| Conference | 21st IEEE Consumer Communications and Networking Conference, CCNC 2024 |
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| Country/Territory | United States |
| City | Las Vegas |
| Period | 24/1/6 → 24/1/9 |
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