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Title: V2X content distribution based on batched network coding with distributed scheduling
Authors: Gao, Yumeng
Xu, Xiaoli
Guan, Yong Liang
Chong, Peter Han Joo
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Vehicular Networks
Joint I2V And V2V Communication
Issue Date: 2018
Source: Gao, Y., Xu, X., Guan, Y. L., & Chong, P. H. J. (2018). V2X content distribution based on batched network coding with distributed scheduling. IEEE Access, 6, 59449-59461. doi:10.1109/ACCESS.2018.2874278
Series/Report no.: IEEE Access
Abstract: Content distribution is an application in intelligent transportation system to assist vehicles in acquiring information such as digital maps and entertainment materials. In this paper, we consider content distribution from a single roadside infrastructure unit to a group of vehicles passing by it. To combat the short connection time and the lossy channel quality, the downloaded contents need to be further shared among vehicles after the initial broadcasting phase. To this end, we propose a joint infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communication scheme based on batched sparse (BATS) coding to minimize the traffic overhead and reduce the total transmission delay. In the I2V phase, the roadside unit (RSU) encodes the original large-size file into a number of batches in a rateless manner, each containing a fixed number of coded packets, and sequentially broadcasts them during the I2V connection time. In the V2V phase, vehicles perform the network coded cooperative sharing by re-encoding the received packets. We propose a utility-based distributed algorithm to efficiently schedule the V2V cooperative transmissions, hence reducing the transmission delay. A closed-form expression for the expected rank distribution of the proposed content distribution scheme is derived, which is used to design the optimal BATS code. The performance of the proposed content distribution scheme is evaluated by extensive simulations that consider multi-lane road and realistic vehicular traffic settings, and shown to significantly outperform the existing content distribution protocols.
DOI: 10.1109/ACCESS.2018.2874278
Rights: © 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See for more information.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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