Distributed Spatial Multiplexing Systems with Hardware Impairments and Imperfect Channel Estimation under Rank-1 Rician Fading Channels

  • Nikolaos I. Miridakis
  • , Theodoros A. Tsiftsis
  • , Corbett Rowell

Research output: Journal PublicationArticlepeer-review

22 Citations (Scopus)

Abstract

The performance of a multiuser communication system with single-Antenna transmitting terminals and a multiantenna base-station receiver is analytically investigated. The system operates under independent and nonidentically distributed rank-1 Rician fading channels with imperfect channel estimation and residual hardware impairments (compensation algorithms are assumed, which mitigate the main impairments) at the transceiver. The spatial multiplexing mode of operation is considered where all the users are simultaneously transmitting their streams to the receiver. Zero forcing is applied along with successive interference cancellation as a means for efficient detection of the received streams. New analytical closed-form expressions are derived for some important performance metrics, namely, the outage probability and ergodic capacity of the entire system. Both the analytical expressions and simulation results show the impact of imperfect channel estimation and hardware impairments to the overall system performance in the usage scenarios of massive multiple-input-multiple-output and millimeter-wave communication systems.

Original languageEnglish
Article number7733140
Pages (from-to)5122-5133
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume66
Issue number6
DOIs
Publication statusPublished - Jun 2017
Externally publishedYes

Free Keywords

  • Hardware impairments
  • imperfect channel estimation
  • massive multiple-input-multiple-output (MIMO)
  • millimeter-wave (mmWave) communications
  • Rician fading
  • spatial multiplexing
  • successive interference cancellation (SIC)
  • zero forcing (ZF)

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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