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LTE-V2X System Performance Based on Urban-Low Speed Environment

Bara B. Burhan, Mahamod Ismail, Mohammed A. Altahrawi, and Saif H. Alrubaee
Centre of Advanced Electronic and Communication Engineering (PAKET), Universiti Kebangsaan Malaysia, 43600 UKM Bangi Selangor, Malaysia

Abstract—Vehicular Ad Hoc Networks (VANETs) is an important field of study nowadays. VANETs attracts attention of vehicles communication researcher due to its potential to improve vehicle road safety, enhance traffic and travel efficiency, and provide convenience and comfort for passengers and drivers. Due to the fact that modern life, especially when travelling in vehicles, is in need for high throughput, this paper investigates the Block Error Rate (BLER) and throughput performance of vehicle-to-Infrastructure (V2I) communication between LTE node and vehicles in urban-low environment using two different stochastic channel model used urban-low areas because urban-low speed areas is the common road situation for a large number of users require connection with LTE node. Vehicle-to-Infrastructure - Urban (V2I-U) is used in urban areas and Vehicle-to-Infrastructure – Urban Small intersection (V2I-US) channel model, used as a reference model, has the largest maximum excess delay near to the 3GPP Extended Vehicular A (EVA) channel model. The performed simulation is done at low speed, 40 km/h in 10 MHz bandwidth for the 2.6 GHz carrier frequency. Results show that V2I-U meets the highest value in the throughput that reaches 20 Mbps as those obtained from the EVA one without huge effect on the BLER. This result can be attributed to the fact of using Line-of-Sight (LoS) which leads to less dispersion of the frequency and less doppler frequency shift.
 
Index Terms—LTE, V2X, stochastic channel, BLER, VANETs

Cite: Bara B. Burhan, Mahamod Ismail, Mohammed A. Altahrawi, and Saif H. Alrubaee, "LTE-V2X System Performance Based on Urban-Low Speed Environment," Journal of Communications vol. 15, no. 8, pp. 646-651, August 2020. Doi: 10.12720/jcm.15.8.646-651

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.