Mobile Edge Computing Aided Cell-Free Massive MIMO Networks

A mobile edge computing (MEC) aided cell-free massive MIMO network is investigated in this paper that aims at optimizing the task offloading process from the wireless devices to the MEC server. Partial computation offloading strategies are designed that aim at optimizing either the aggregated latenc...

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Veröffentlicht in:IEEE transactions on mobile computing Jg. 23; H. 2; S. 1 - 16
Hauptverfasser: Femenias, Guillem, Riera-Palou, Felip
Format: Magazine Article
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.02.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Cell-free massive MIMO
Computation offloading
Edge computing
Energy consumption
Iterative algorithms
Iterative methods
Massive MIMO
MIMO communication
Mobile computing
mobile edge computing
Network latency
Optimization
Resource management
Servers
Task analysis
task offloading
Wireless communication
ISSN:1536-1233, 1558-0660
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Zusammenfassung:A mobile edge computing (MEC) aided cell-free massive MIMO network is investigated in this paper that aims at optimizing the task offloading process from the wireless devices to the MEC server. Partial computation offloading strategies are designed that aim at optimizing either the aggregated latency or the energy consumption by considering the finite computational capability of the MEC server and assuming that the tasks are subject to a maximum latency constraint. The proposed optimization approach considers the joint optimization of both the per-task offloading ratio and the corresponding computational resources allocated to the tasks at the MEC server. This optimization is performed by taking into account the computing capabilities of both the wireless devices and the MEC server and both the UL and DL spectral efficiencies provided by the cell-free massive MIMO network. The proposed optimization problems are shown to be convex and, inspired by the well-known waterfilling algorithm, optimal solutions based on low-complexity iterative algorithms are devised. Extensive numerical results reveal the potential of the proposed MEC-enabled cell-free massive MIMO network.
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ISSN:1536-1233
1558-0660
DOI:10.1109/TMC.2022.3232510