Enhanced Collision Avoidance for Distributed LTE Vehicle to Vehicle Broadcast Communications


In this paper we investigate the distributed autonomous resource selection for LTE vehicle to vehicle (V2V) broadcast. The effectiveness of collision avoidance and location based resource allocation enhancements is examined. It is found that collision avoidance with multiple data resources reservation per schedule assignment (SA) is a key to improve broadcast reliability. However in the existing collision avoidance algorithm reserving multiple resources per SA can lead to many data packet collisions if a SA collision happens. We propose an enhanced collision avoidance to address this issue. The idea is to use selected data packets to disseminate the reservation of data resources and SA resources, which can provide better communication among neighbor vehicles on resource reservation and reduce data collisions. Simulation results show that the proposed collision avoidance enhancement can effectively improve SA and data transmission reliability. The network capacity in terms of supported vehicles under given V2V service requirements is largely increased by 17% at a negligible cost of added overhead.

Publication DOI: https://doi.org/10.1109/LCOMM.2018.2791399
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences > Adaptive communications networks research group
College of Engineering & Physical Sciences
Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: LTE,vehicle to vehicle (V2V),connected vehicles,resource scheduling,semi-persistent scheduling (SPS)
Publication ISSN: 1558-2558
Full Text Link:
Related URLs: https://www.sco ... c89201e98a6e4de (Scopus URL)
https://ieeexpl ... ocument/8252701 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-03-01
Published Online Date: 2018-01-09
Accepted Date: 2017-12-29
Authors: He, Jianhua (ORCID Profile 0000-0002-5738-8507)
Tang, Zuoyin (ORCID Profile 0000-0001-7094-999X)
Fan, Zhong
Zhang, Jie



Version: Accepted Version

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