Araştırma Makalesi

5G Millimeter Wave Communications for High Speed Trains

15 Ağustos 2020
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5G Millimeter Wave Communications for High Speed Trains

Abstract

Providing a seamless high data rate connectivity to vehicles is a prerequisite for 5G networks. Since the sub-6 GHz bands have become crowded and struggled to support high data rate communications, millimeter wave (mmWave) bands have attracted the researchers. Thus, in this paper, mmWave technology is investigated for high speed trains (HST) which is considered as one of the vertical applications of the 5G. Specifically, two candidate frequency bands, namely 28 GHz and 60 GHz, are considered. An advanced system level simulator is used to evaluate the system performance over a 2 km rail track in terms of achievable throughput (data rate) and coverage range (inter side distance) at both candidate 5G frequency bands. Moreover, the system performance is evaluated for different beamwidths and trains speeds. The results show that for Line-of-Sight (LoS) scenarios, high data rates and the seamless connectivity to HSTs can be provided even using a narrow beam (such as 12⁰) at both frequency bands, i.e., 1700 m and 1400 m coverage ranges with average data rates of 4.5 Gbps and 2 Gbps are achieved at the 28 GHz and the 60 GHz bands respectively. When different trains speeds are investigated, it is observed that there are slight reductions in the throughput results, which is negligible, when the train speed increases since the considered scenario is the LoS. Based on the extensive simulation results and the analysis, it is concluded that 5G mmWave communication is a viable solution to provide the reliable gigabit connectivity to the HST applications.

Keywords

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

15 Ağustos 2020

Gönderilme Tarihi

28 Haziran 2020

Kabul Tarihi

10 Ağustos 2020

Yayımlandığı Sayı

Yıl 2020

Kaynak Göster

APA
Bulut, B. (2020). 5G Millimeter Wave Communications for High Speed Trains. Avrupa Bilim ve Teknoloji Dergisi, 172-177. https://doi.org/10.31590/ejosat.779652