Minimizing Interference in an Aged Massive MIMO System

A large number of antennas at the base station in a Multi-user multiple-input-multiple-output (MIMO) system provides an increase in the throughput of the cellular system. An accurate channel state information (CSI) is required at the base station for precoding. Inaccuracies in the CSI estimation occ...

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Bibliographic Details
Main Authors: Arya, Vikas, Muravath, Ramesh, Mishra, Shubham, Allada, Anil
Format: Conference Proceeding
Language:English
Subjects:
Aging
Base stations
channel aging
channel prediction
channel state information(CSI)
Contamination
Interference
Kalman filter
Kalman filters
Massive MIMO
multi-user MIMO (MUMIMO)
pilot contamination
Throughput
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Description
Summary:A large number of antennas at the base station in a Multi-user multiple-input-multiple-output (MIMO) system provides an increase in the throughput of the cellular system. An accurate channel state information (CSI) is required at the base station for precoding. Inaccuracies in the CSI estimation occurs due to channel aging, pilot contamination, estimation error which limits the system throughput. We have tracked the CSI using the Kalman filter to minimize the effect of channel aging and construct a precoder based on the estimates of the Kalman filter for mitigating pilot contamination arising due to the use of non-orthogonal pilot sequences by the users in the nearby cell. We have analyzed how accurately we can track the CSI in the presence of both channel aging and pilot contamination. This paper also analyzes the average sum rate variation with the user's mobility and past samples used for estimation.
ISSN:2155-2509
DOI:10.1109/COMSNETS51098.2021.9352900