Ergodic rate analysis of massive MIMO systems in K-fading environment

Muhammad Tauseef Mushtaq, Syed Ali Hassany, Dushantha Nalin K. Jayakody

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Massive MIMO (multiple-input multiple-output) has been identified as a key technology for next generation cellular systems. This paper considers a multi-cellular system with large antenna arrays at the base station (BS) and single antenna user terminals (UTs), operating in a time division duplex (TDD) mode, under a composite fading-shadowing environment. In the uplink transmission, the pilot contamination occurs as the UTs transmit pilots to their respective BSs, and the serving BS estimates the channel state information using a minimum mean squared error estimation. This channel information is further used to design beamforming (BF) and regularized zero-forcing (RZF) precoders for downlink (DL) transmission. We analyze the ergodic rates for DL transmission using different precoding schemes and varying shadowing intensity. It has been observed that shadowing does not average out as we increase the number of antennas as opposed to multi-path fading, and the severity of shadowing badly affects the performance of massive MIMO systems.

Original languageEnglish
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
Publication statusPublished - 17 Mar 2017
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 18 Sep 201621 Sep 2016

Conference

Conference84th IEEE Vehicular Technology Conference, VTC Fall 2016
CountryCanada
CityMontreal
Period18.9.1621.9.16

Fingerprint

Multiple-input multiple-output (MIMO) Systems
Shadowing
Fading
Base stations
Cellular Systems
Antennas
Antenna
Multipath fading
Channel state information
Beamforming
Antenna arrays
Zero-forcing
Error analysis
Precoding
Antenna Arrays
Channel State Information
Uplink
Error Estimation
Contamination
Multipath

Keywords

  • Beamforming
  • Composite fading
  • K-distribution
  • Massive MIMO
  • MMSE estimation
  • Regularized zero forcing

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Mushtaq, M. T., Hassany, S. A., & Jayakody, D. N. K. (2017). Ergodic rate analysis of massive MIMO systems in K-fading environment. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings [7881002] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2016.7881002

Ergodic rate analysis of massive MIMO systems in K-fading environment. / Mushtaq, Muhammad Tauseef; Hassany, Syed Ali; Jayakody, Dushantha Nalin K.

2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7881002.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mushtaq, MT, Hassany, SA & Jayakody, DNK 2017, Ergodic rate analysis of massive MIMO systems in K-fading environment. in 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings., 7881002, Institute of Electrical and Electronics Engineers Inc., 84th IEEE Vehicular Technology Conference, VTC Fall 2016, Montreal, Canada, 18.9.16. https://doi.org/10.1109/VTCFall.2016.7881002
Mushtaq MT, Hassany SA, Jayakody DNK. Ergodic rate analysis of massive MIMO systems in K-fading environment. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7881002 https://doi.org/10.1109/VTCFall.2016.7881002
Mushtaq, Muhammad Tauseef ; Hassany, Syed Ali ; Jayakody, Dushantha Nalin K. / Ergodic rate analysis of massive MIMO systems in K-fading environment. 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.
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