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Massive MIMO-Assisted Mobile Edge Computing: Exciting Possibilities for Computation Offloading

Ming Zeng, Wanming Hao, Octavia A. Dobre, Zhiguo Ding, H. Vincent Poor

2020IEEE Vehicular Technology Magazine37 citationsDOI

Abstract

In this article, we propose to apply massive multipleinput, multiple-output (MIMO) to mobile edge computing (MEC). This application is expected to greatly facilitate the offloading in MEC by exploiting the huge gains in spectral and energy efficiencies brought by massive MIMO. Moreover, massive MIMO can support a larger number of users for simultaneous offloading, which reduces the delay for queuing and ultimately lowers the overall response time in MEC. Extensive simulation results are presented to demonstrate that employing more antennas leads to reduced system delay and ener gy consumption.

Topics & Concepts

MIMOMobile edge computingComputer scienceEnergy consumptionComputation offloadingEnhanced Data Rates for GSM EvolutionComputation3G MIMOQueueing theoryQueuing delayMulti-user MIMOComputer networkEdge computingDistributed computingTelecommunicationsEngineeringChannel (broadcasting)Electrical engineeringAlgorithmIoT and Edge/Fog ComputingIoT Networks and ProtocolsAge of Information Optimization
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