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

Title
Offloading in Edge Computing-Enabled Cell-Free Massive MIMO Systems
Authors
Mukherjee, SudanshanLee, Jemin
DGIST Authors
Lee, Jemin
Issue Date
2019-12-09
Citation
2018 IEEE Globecom Workshops, GC Wkshps 2018
Type
Conference
ISBN
9781538649206
Abstract
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. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/9755
DOI
10.1109/GLOCOMW.2018.8644486
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Lee, Jemin ISC(Information Security and Communication) Lab
  • Research Interests Wireless Communication System; Information Security
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringISC(Information Security and Communication) Lab2. Conference Papers


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