IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516

This article has now been updated. Please use the final version.

Transmission Performance Evaluation of Local 5G Downlink Data Channel in SU-MIMO System under Outdoor Environments
Hiroki URASAWAHayato SOYAKazuhiro YAMAGUCHIHideaki MATSUE
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JOURNAL RESTRICTED ACCESS Advance online publication

Article ID: 2023WWP0002

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Abstract

We evaluated the transmission performance, including received power and transmission throughput characteristics, in 4×4 single-user multiple-input multiple-output (SU-MIMO) transmission for synchronous time division duplex (TDD) and downlink data channels in comparison with single-input single-output (SISO) transmission in an environment where a local 5G wireless base station was installed on the roof of a research building at our university. Accordingly, for the received power characteristics, the difference between the simulation value, which was based on the ray tracing method, and the experimental value at 32 points in the area was within a maximum difference of approximately 10 dB, and sufficient compliance was obtained. Regarding the transmission throughput versus received power characteristics, after showing a simulation method for evaluating throughput characteristics in MIMO, we compared the results with experimental results. The cumulative distribution function (CDF) of the transmission throughput shows that, at a CDF of 50 %, in SISO transmission, the simulated value is approximately 115 Mbps, and the experimental value is 105 Mbps, within a difference of approximately 10 Mbps. By contrast, in MIMO transmission, the simulation value is 380 Mbps, and the experimental value is approximately 420 Mbps, which is a difference of approximately 40 Mbps. It was shown that the received power and transmission throughput characteristics can be predicted with sufficient accuracy by obtaining the delay profile and the system model at each reception point using the both ray tracing and MIMO simulation methods in actual environments.

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© 2023 The Institute of Electronics, Information and Communication Engineers
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