4.7 Article

Impact of Pilot Overhead and Channel Estimation on the Performance of Massive MIMO

Journal

IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 69, Issue 12, Pages 8242-8255

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2021.3112213

Keywords

Covariance matrices; Channel estimation; Coherence; Estimation; Massive MIMO; Contamination; Measurement; Spectral efficiency; massive multiple-input multiple-output (MIMO); covariance estimation; channel estimation; pilot contamination

Funding

  1. Academy of Finland [319822]
  2. Academy of Finland (AKA) [319822, 319822] Funding Source: Academy of Finland (AKA)

Ask authors/readers for more resources

This paper investigates the impact of additional pilot overhead on covariance matrix estimation in a TDD massive MIMO system. Closed form expressions for spectral efficiencies with different channel estimation methods are derived, and a detailed theoretical analysis and simulations are presented to validate the findings.
This paper studies the impact of additional pilot overhead for covariance matrix estimation in a time-division duplexed (TDD) massive multiple-input multiple-output (MIMO) system. We choose average uplink (UL) and downlink (DL) spectral efficiencies (SEs) as performance metrics for the massive MIMO system, and derive closed form expressions for them in terms of the additional pilot overhead. The expressions are derived by considering linear minimum mean squared error (LMMSE)-type and element-wise LMMSE-type channel estimates that represent LMMSE and element-wise LMMSE with estimated covariance matrices, respectively. Using these expressions, a detailed theoretical analysis of SE behavior as a function of pilot overhead for both LMMSE-type and element-wise LMMSE-type channel estimation are presented, followed by simulations, which also demonstrate and validate theoretical results.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available