Channel capacity under measurement-based model for cooperative vehicular ad hoc networks

Chen, Ruifeng, Sheng, Zhengguo, Ni, Minming, Zhong, Zhangdui and Michelson, David G (2015) Channel capacity under measurement-based model for cooperative vehicular ad hoc networks. In: Antennas and Propagation USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on, 19-24 July, Vancouver, Canada. (Accepted)

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Abstract

Infrastructure-based cooperation can significantly boost the communication performance of vehicular ad hoc networks, especially when direct transmission of inter-vehicle communication can hardly achieve the stringent requirement of safety information dissemination. In this paper, an analytical model is presented to demonstrate the performance gain of channel capacity for infrastructure-based cooperative transmission. Furthermore, we study the capacity performance for both direct transmission and cooperative communication, under
generic path loss model and the measurement-based dual-slope piecewise-linear model, respectively. The analytical results can be used for vehicular networks design and roadside infrastructure deployment in highway scenarios.

Item Type: Conference or Workshop Item (Paper)
Keywords: channel capacity;cooperative communication;piecewise linear techniques;vehicular ad hoc networks;channel capacity;cooperative vehicular ad hoc networks;generic path loss model;information dissemination;infrastructure-based cooperative transmission;inter-vehicle communication;measurement-based dual-slope piecewise-linear model;measurement-based model;Channel capacity;Cooperative communication;Gain;Loss measurement;Mathematical model;Vehicles;Vehicular ad hoc networks
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TA Engineering (General). Civil engineering (General) > TA0329 Engineering mathematics. Engineering analysis
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Depositing User: Zhengguo Sheng
Date Deposited: 04 Jan 2016 12:58
Last Modified: 04 Jan 2016 12:58
URI: http://sro.sussex.ac.uk/id/eprint/58915

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