Delay-aware Joint Resource Allocation in Cell-Free Mobile Edge Computing

被引：1
|
作者：
Tilahun, Fitsum Debebe [1 ]
Abebe, Ameha Tsegaye [2 ]
Kang, Chung G. [1 ]
机构：
[1] Korea Univ, Sch Elect Engn, Seoul, South Korea
[2] Saumsung Res, Seoul, South Korea
来源：
2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA | 2022年
基金：
新加坡国家研究基金会;
关键词：
mobile edge computing (MEC); cell-free MEC; joint resource allocation; deep reinforcement learning;
D O I：
10.1109/APCC55198.2022.9943562
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper investigates a joint resource allocation problem in cell-free mobile edge computing system which intends to minimize the number of users subjected to outage, due to failure to meet user-specific delay constraints. Accordingly, the number of APs serving each user, i.e., dynamic cluster size, uplink transmit power and computing resources at the edge server are jointly optimized based on deep reinforcement learning (DRL) algorithm.
引用
收藏
页码：81 / 82
页数：2
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