Stochastic modeling of device-to-device communications for intelligent transportation systems

Lei, Lei (2016) Stochastic modeling of device-to-device communications for intelligent transportation systems. In: Proceedings of the 23rd International Conference on Telecommunications. From: ICT 2016: 23rd International Conference on Telecommunications, 16-18 May 2016, Thessaloniki, Greece.

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Abstract

Device-to-Device (D2D) communications enable cellular devices in physical proximity to communicate directly over the air instead of through the BSs, which can be applied in Intelligent Transportation Systems (ITS) to efficiently support the communications between vehicles. However, the resource control functions need to adapt to the unique characteristics of vehicular environments and meet the high reliability and low latency requirements of road safety applications. In this paper, we discuss the performance evaluation and dynamic optimization of D2D communications for ITS based on stochastic models, where the complex mobility behavior of vehicles and stochastic nature of traffic arrivals are captured. We focus on two typical scenarios, i.e., safety applications and vehicular cloudlet, and outline the research directions and present the challenges and major issues that need to be addressed.

Item ID: 59153
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5090-1990-8
Funders: National Natural Science Foundation of China (NNSFC)
Projects and Grants: NNSFC 61272168
Date Deposited: 20 Aug 2019 23:27
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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