Massive-MIMO Channel Capacity Modeling for mURLLC Over 6G UAV Mobile Wireless Networks

Xi Zhang, Qixuan Zhu, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Due to significant improvements in throughput and efficiency, the massive multiple input multiple output (MIMO) has been recognized as a key component of the massive ultra-reliable and low-latency communications (mURLLC) over the emerging sixth generation (6G) wireless networks to support the continuously increasing mobile user's traffic demands. Leveraging the dynamic architecture of unmanned aerial vehicle (UAV) swarm, it is executable to deploy a massive MIMO communication networks between the UAV swarm and a ground-station (GS) equipped with massive antennas. In this paper we integrate the UAV technique with massive MIMO wireless communications and derive the channel capacity performance for the UAV-to-GS massive MIMO channel. We develop the massive MIMO channel model from a group of UAVs, equipped with single antenna, to the GS, equipped with uniform rectangular antenna array, and obtain the closed-form expressions for channel capacity. Finally, we use numerical results to validate and evaluate the channel performances of our proposed massive MIMO communications.

Original languageEnglish (US)
Title of host publication2022 56th Annual Conference on Information Sciences and Systems, CISS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-54
Number of pages6
ISBN (Electronic)9781665417969
DOIs
StatePublished - 2022
Externally publishedYes
Event56th Annual Conference on Information Sciences and Systems, CISS 2022 - Princeton, United States
Duration: Mar 9 2022Mar 11 2022

Publication series

Name2022 56th Annual Conference on Information Sciences and Systems, CISS 2022

Conference

Conference56th Annual Conference on Information Sciences and Systems, CISS 2022
Country/TerritoryUnited States
CityPrinceton
Period3/9/223/11/22

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems

Keywords

  • The sixth generation (6G) wireless communication
  • channel capacity
  • mURLLC
  • massive MIMO
  • uniform rectangular array (URA)
  • unmanned aerial vehicles (UAV)

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