Offloading in Edge Computing-Enabled Cell-Free Massive MIMO Systems

被引：0
|
作者：
Mukherjee, Sudarshan [1 ]
Lee, Jemin [1 ]
机构：
[1] DGIST, Dept Informat & Commun Engn ICE, Daegu, South Korea
来源：
2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS) | 2018年
基金：
新加坡国家研究基金会;
关键词：
D O I：
暂无
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：
In this paper, we consider a novel framework of edge computing-enabled cell-free (CF) massive MIMO systems, where each access point (AP) in the CF massive MIMO acts as an independent mobile edge computing (MEC) server and the central server (CS) acts as the cloud server. For the above proposed system, we analyze the communication and computation latency performance and their impact on the total transceiver energy consumption. Through numerical simulations, we show that the optimal energy efficiency of the above proposed system improves with decreasing target computation latency.
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页数：6
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