University of Oulu

M. I. Ashraf, M. Bennis, C. Perfecto and W. Saad, "Dynamic Proximity-Aware Resource Allocation in Vehicle-to-Vehicle (V2V) Communications," 2016 IEEE Globecom Workshops (GC Wkshps), Washington, DC, 2016, pp. 1-6. doi: 10.1109/GLOCOMW.2016.7848885

Dynamic proximity-aware resource allocation in vehicle-to-vehicle (V2V) communications

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Author: Ashraf, Muhammad Ikram1; Bennis, Mehdi1; Perfecto, Cristina2;
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
2University of the Basque Country - UPV/EHU, Spain
3Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, USA
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080133237
Language: English
Published: Institute of Electrical and Electronics Engineers, 2016
Publish Date: 2018-08-01
Description:

Abstract

In this paper, a novel proximity and load-aware resource allocation for vehicle-to-vehicle (V2V) communication is proposed. The proposed approach exploits the spatio-temporal traffic patterns, in terms of load and vehicles' physical proximity, to minimize the total network cost which captures the tradeoffs between load (i.e., service delay) and successful transmissions while satisfying vehicles' quality-of-service (QoS) requirements. To solve the optimization problem under slowly varying channel information, it is decoupled the problem into two interrelated sub-problems. First, a dynamic clustering mechanism is proposed to group vehicles in zones based on their traffic patterns and proximity information. Second, a matching game is proposed to allocate resources for each V2V pair within each zone. The problem is cast as many-to-one matching game in which V2V pairs and resource blocks (RBs) rank one another in order to minimize their service delay. The proposed game is shown to belong to the class of matching games with externalities. To solve this game, a distributed algorithm is proposed using which V2V pairs and RBs interact to reach a stable matching. Simulation results for a Manhattan model shown that the proposed scheme yields a higher percentage of V2V pairs satisfying QoS as well as significant gain in terms of the signal-to- interference-plus-noise ratio (SINR) as compared to a state-of-art resource allocation baseline.

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Series: IEEE Globecom Workshops
ISSN: 2166-0069
ISSN-L: 2166-0069
ISBN: 978-1-5090-2482-7
ISBN Print: 978-1-5090-2483-4
Pages: 1 - 6
DOI: 10.1109/GLOCOMW.2016.7848885
OADOI: https://oadoi.org/10.1109/GLOCOMW.2016.7848885
Host publication: 2016 IEEE Globecom Workshops (GC Wkshps)
Conference: IEEE Globecom Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research was supported by TEKES grant 2364/31/2014 and the Academy of Finland (CARMA) and the U.S. National Science Foundation under grants CNS-1460316 and ACI-1541105.
Academy of Finland Grant Number: 289611
Detailed Information: 289611 (Academy of Finland Funding decision)
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