Skip to main navigation Skip to search Skip to main content

Impact of Channel Aging on Massive MIMO Vehicular Networks in Non-isotropic Scattering Scenarios

  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Chalmers University of Technology

Research output: Contribution to journalConference articlepeer-review

Abstract

Massive multiple-input multiple-output (MIMO) relies on accurate channel estimation for precoding and receiving to achieve its claimed performance advantages. When serving vehicular users, the rapid channel aging effect greatly hinders its advantages, and a careful system design is required to ensure an efficient use of wireless resources. In this paper, we investigate this problem for the first time in a non-isotropic scattering scenario. The von Mises distribution is adopted for the angle of arrival (AoA), resulting in a tunable channel temporal correlation coefficient (TCC) model, which can adapt to different AoA spread conditions through the k parameter and incorporates the isotropic Jakes-Clarke model as a special case. The simulated results in a Manhattan grid-type multi-cell network clearly demonstrate the impact of channel aging on the uplink spectral efficiency (SE) performance and moreover, in order to maximize the area average SE, the size of the transmission block should be optimally selected according to some linear equations of k.

Original languageEnglish
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 IEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain
Duration: 7 Dec 202111 Dec 2021

Fingerprint

Dive into the research topics of 'Impact of Channel Aging on Massive MIMO Vehicular Networks in Non-isotropic Scattering Scenarios'. Together they form a unique fingerprint.

Cite this