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

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Article number9064518
Pages (from-to)31-38
Number of pages8
JournalIEEE Vehicular Technology Magazine
Volume15
Issue number2
DOIs
StatePublished - Jun 2020

All Science Journal Classification (ASJC) codes

  • Automotive Engineering

Fingerprint Dive into the research topics of 'Massive MIMO-Assisted Mobile Edge Computing: Exciting Possibilities for Computation Offloading'. Together they form a unique fingerprint.

Cite this