A two-stage allocation scheme for delay-sensitive services in dense vehicular networks

Yang, Haojun, Zhao, Long, Lei, Lei, and Zheng, Kan (2017) A two-stage allocation scheme for delay-sensitive services in dense vehicular networks. In: Proceedings of the 2017 IEEE Conference on Communications. pp. 1358-1363. From: 2017 IEEE Conference on Communications, 21-25 May 2017, Paris, France.

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Abstract

Driven by the rapid development of wireless communication system, more and more vehicular services can be efficiently supported via vehicle-to-everything (V2X) communications. In order to allocate radio resource with the reasonable implementation complexity in dense urban intersection, a two-stage allocation algorithm is proposed in this paper, whose main objective is to minimize delay and ensure reliability. In particular, as for the first stage, the allocation policy is based on traffic density information (TDI), which is different from utilizing channel state information (CSI) and queue state information (QSI) in the second stage. Moreover, in order to reflect the influence of TDI on delay, a macroscopic vehicular mobility model is employed in this paper. Simulation results show that the proposed algorithm can acquire an asymptotically optimal performance with the acceptable complexity.

Item ID: 54263
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5090-1525-2
Funders: National High Technology Research and Development Program of China (NHTRDP), Chinese Ministry of Education, Mobile Research Foundation (CME), National Key Scientific Instrument and Equipment Development Project (NKSIEDP), National Natural Science Foundation of China (NNSFC)
Projects and Grants: NHTRDP Grant No. 2014AA01A705, CME Grant MCM20150101, NKSIEDP Grant 2013YQ20060706, NNSFC Grant 61331009
Date Deposited: 27 Jun 2018 03:28
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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