Asymptotic Orthogonality Analysis of Time-Domain Sparse Massive MIMO Channels

Zhen Gao, Linglong Dai, Chau Yuen, Zhaocheng Wang

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)

Abstract

The theoretical analysis of downlink massive MIMO usually assumes the ideal Gaussian channel matrix with asymptotic orthogonality of channel vectors. Meanwhile, recent experiments have shown that massive MIMO channels between a certain user and massive base station antennas appear the spatial common sparsity (SCS) in both the time domain and angle domain. This motivates us to investigate whether realistic sparse massive MIMO channels could provide the favorable propagation condition, and reveal the capacity gap between massive MIMO systems over realistic sparse channels and that under the ideal Gaussian channel matrix assumption. This letter theoretically proves that channel vectors associated with different users in massive MIMO over sparse channels satisfy the asymptotic orthogonality. Moreover, the simulation results confirm the theoretical analysis.

Original languageEnglish
Article number7166308
Pages (from-to)1826-1829
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number10
DOIs
Publication statusPublished - 1 Oct 2015
Externally publishedYes

Keywords

  • Asymptotic orthogonality
  • Massive MIMO
  • favorable propagation condition
  • spatial common sparsity (SCS)

Fingerprint

Dive into the research topics of 'Asymptotic Orthogonality Analysis of Time-Domain Sparse Massive MIMO Channels'. Together they form a unique fingerprint.

Cite this