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Automotive radar and communications sharing of the 79-GHz band

Published:03 October 2016Publication History

ABSTRACT

The spectrum scarcity problem is becoming severer in the 5.9 GHz Dedicated Short Range Communication (DSRC) band due to the rapidly increasing wireless traffic demands in vehicular networks. Meanwhile, massive bandwidth has been allocated to automotive radars in the 79 GHz band. Given its large bandwidth, radar imaging accuracy in the 79 GHz automotive radar band is still low because sequential target observations of a single radar sensor are highly correlated. Therefore, the 79 GHz band can be regarded as underutilized. Since the observations of different vehicles are less correlated, collaborative radar imaging among neighboring vehicles through vehicle-to-vehicle (V2V) communications can improve the accuracy of automotive radar imaging. More importantly, in the resulting Joint Automotive Radar-Communication (JARC) system, less bandwidth is required to achieve high radar imaging accuracy. Hence, remaining bandwidth can be utilized to alleviate the spectrum scarcity problem in the DSRC band.

In this paper, we develop a distributed JARC system to facilitate the spectrum sharing between radar imaging and V2V communications in the 79 GHz millimeter wave band. In particular, we implement the proposed JARC system by devising of a corresponding MAC layer protocol, which contributes to the future standardization of the JARC system. Moreover, the performance of the proposed JARC system is evaluated through simulation examples, which demonstrates that the JARC system is able to support high-throughput V2V communications in the 79 GHz band.

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            cover image ACM Other conferences
            CarSys '16: Proceedings of the First ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services
            October 2016
            74 pages
            ISBN:9781450342506
            DOI:10.1145/2980100

            Copyright © 2016 ACM

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            Publication History

            • Published: 3 October 2016

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            CarSys '16 Paper Acceptance Rate8of20submissions,40%Overall Acceptance Rate8of20submissions,40%

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