Link-level simulation of TDD-based massive MIMO system

Feng Ji, Xi Yang, Dan Qiao, Shi Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we investigate the link-level simulation of the time-division-duplex (TDD) based massive MIMO system employing OFDM technology. Influenced by the hardware mismatch between base station (BS) and mobile stations (MS), and the limitations of hardware implementation, the system model, simulation settings, and simulation procedures for uplink (UL) and downlink (DL) are presented to help develop a practical TDD-based massive MIMO system. The simulation settings and procedures list the details about the simulation platform, including the general parameters, LTE-like frame structure, resource grid of users (UEs), block diagrams of system, MIMO detection/precoding algorithm, and the reciprocity calibration method. We have evaluated the performance of system from the aspects of bit error rate (BER) and throughput. Numerical results show that the significance of the reciprocity calibration at the downlink for multi-user's data transmission, and the methods to improve system's throughput.

Original languageEnglish
Title of host publication2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509028603
DOIs
StatePublished - 21 Nov 2016
Externally publishedYes
Event8th International Conference on Wireless Communications and Signal Processing, WCSP 2016 - Yangzhou, China
Duration: 13 Oct 201615 Oct 2016

Publication series

Name2016 8th International Conference on Wireless Communications and Signal Processing, WCSP 2016

Conference

Conference8th International Conference on Wireless Communications and Signal Processing, WCSP 2016
Country/TerritoryChina
CityYangzhou
Period13/10/1615/10/16

Fingerprint

Dive into the research topics of 'Link-level simulation of TDD-based massive MIMO system'. Together they form a unique fingerprint.

Cite this