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

In this article, the authors 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.

• Record URL:
  http://dx.doi.org/10.1109/MVT.2020.2980450
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15566072
• Supplemental Notes:
  • Copyright © 2020, IEEE.
• Authors:
  • Zeng, Ming
  • Hao, Wanming
  • Dobre, Octavia A
  • Ding, Zhiguo
  • Poor, H Vincent
• Publication Date: 2020-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 31-38
• Serial:
  • IEEE Vehicular Technology Magazine
  • Volume: 15
  • Issue Number: 2
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1556-6072
  • Serial URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=34840

Subject/Index Terms

• TRT Terms: Computer architecture; Connected vehicles; Energy consumption; Mobile computing; Queuing theory; Simulation
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01748634
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 27 2020 9:30AM