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An opportunistic scheduling algorithm using aged CSI in massive MIMO systems

Published: 24 December 2017 Publication History

Abstract

In time-division duplex (TDD) massive multiple-input multiple-output (MIMO) systems, the spatial multiplexing gain cannot be fully achieved since available pilot resources at each channel coherence time interval are limited. In this paper, we propose an Opportunistic user Scheduling algorithm, termed OpSAC, that uses Aged Channel state information (CSI) to increase spatial multiplexing gain without incurring additional pilot overhead. Assuming the base station (BS) employs two popular precoders of maximum ratio transmission (MRT) and zero-forcing (ZF), we first derive their closed-form lower bounds on the achievable sum-rate under channel aging. According to the analysis results, we develop a heuristic solution that estimates the amount of channel variation for each user by using correlation of CSI samples, and exploits channel conditions to opportunistically schedule more users by using aged CSI, thereby enhancing spectral efficiency. Through numerical analysis and simulation we confirm that the proposed lower bounds are very tight, and show the impact of channel aging on the performance of massive MIMO systems. In addition, it is shown that OpSAC achieves near-optimal performance and considerably outperforms the conventional user scheduling algorithm that uses current CSI only.

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Cited By

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  • (2019)Optimal Transmit Antenna Selection Using Improved GSA in Massive MIMO TechnologyWireless Personal Communications: An International Journal10.1007/s11277-019-06611-8109:2(1217-1235)Online publication date: 1-Nov-2019

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Information & Contributors

Information

Published In

cover image Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking  Volume 129, Issue P1
December 2017
334 pages

Publisher

Elsevier North-Holland, Inc.

United States

Publication History

Published: 24 December 2017

Author Tags

  1. Beamforming
  2. Channel aging
  3. Large-scale MIMO
  4. Linear precoder
  5. Massive MIMO
  6. Multi-user MIMO
  7. Scheduling

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  • (2019)Optimal Transmit Antenna Selection Using Improved GSA in Massive MIMO TechnologyWireless Personal Communications: An International Journal10.1007/s11277-019-06611-8109:2(1217-1235)Online publication date: 1-Nov-2019

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