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NOMA Enhanced 5G Distributed Vehicle to Vehicle Communication for Connected Autonomous Vehicles

Tang, Zuoyin and He, Jianhua (2020) NOMA Enhanced 5G Distributed Vehicle to Vehicle Communication for Connected Autonomous Vehicles. In: MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020-09-21 - 2020-09-21, London.

mobiarch_nomav2v-submission.pdf - Accepted Version

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Connected autonomous vehicles (CAV) holds great potentials of improving road safety and efficiency. However ultra reliability and low latency vehicle to everything (V2X) communication service is required to fully unleash the potentials of CAV. In this paper we investigate distributed vehicle to vehicle (V2V) for CAV, which supports not only broadcast but also multicast/unicast communications. Power domain non-orthogonal multiple access (NOMA) is applied to deal with the CAV traffic patterns, which are different from those in the traditional connected vehicle applications. With NOMA the signals for long range broadcast with major power and signals for short range neighbors with small power can be superposed in one transmission. With the application of NOMA the channel load can be reduced and communication reliability and latency will be improved. The framework and operation of NOMA enhanced distributed V2V system are designed. Qualitative and quantitative benefits of the proposed scheme are analyzed. Simulation results show that the proposed scheme can achieve a gain of more than 80% on network capacity under the investigated scenarios, with large performance improvement in terms of communication throughput and reliability.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the ACM MobiArch 2020 The 15th Workshop on Mobility in the Evolving Internet Architecture
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 12 Nov 2020 10:36
Last Modified: 15 Jan 2022 01:35

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