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Spatio-Temporal Wireless D2D Network With Imperfect Beam Alignment

  • Institut Polytechnique de Paris
  • Orange Labs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we investigate the beam misalignment impacts of a dynamic device-to-device (D2D) communication model, where both transmitters and receivers adopt beamforming (BF) by using uniform linear array (ULA). A time continuous dynamic model is adopted for this network. We use tools of stochastic geometry and the Miyazawa rate conversation law to analyse the stability condition of such a network. An analytical expression of the critical arrival rate is given under a uniform or truncated Gaussian alignment error assumption. In contrast to our previous result, where the beam alignment is perfect, our analytical and numerical results show that, if the beam alignment is not perfect, the critical arrival rate can no longer increase without limit as a function of the number of antenna elements. Closed-form expressions of the upper bounds for critical arrival rates are given for both the uniform and the truncated Gaussian misalignment models.

Original languageEnglish
Title of host publication2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2346-2351
Number of pages6
ISBN (Electronic)9781665442664
DOIs
Publication statusPublished - 1 Jan 2022
Event2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
Duration: 10 Apr 202213 Apr 2022

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2022-April
ISSN (Electronic)1558-2612

Conference

Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Country/TerritoryUnited States
CityAustin
Period10/04/2213/04/22

Keywords

  • Stochastic geometry
  • beamforming
  • birth-death process
  • device-to-device
  • misalignment
  • stability

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