A Real-Time Seq2Seq Beamforming Prediction Model for C-V2X Links-Reference-Cited by-同舟云学术

A Real-Time Seq2Seq Beamforming Prediction Model for C-V2X Links

Published:2022-09-08 Issue: Volume: Page:511-521
ISSN:2523-3440
Container-title:AI-enabled Technologies for Autonomous and Connected Vehicles
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Author:

Xiang Weidong,Elangovan Vivekanandh,Lakshmanan Sridhar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-06780-8_18

Reference20 articles.

1. 3GPP TS 36.213 (2017) Evolved universal terrestrial radio access (E-UTRA); Physical layer procedures. v14.2.2 Release 14, June, 2017

2. Rafael Molina-Masegosa, Javier Gozalvez (2017) A new 5G technology for short-range vehicle-to-everything communications. IEEE Veh Technol Mag 12:30–39

3. Behrad T, Saifuddin M, Mahjoub HN, Mughal MO, Fallah YP, Rao J, Das S (2018) Multiple access in cellular v2x: performance analysis in highly congested vehicular networks. In: 2018 IEEE vehicular networking conference (VNC), pp 1–8

4. National Highway Traffic Safety Administration (NHTSA), Department of Transportation (DOT) (2017) Notice of Proposed Rulemaking (NPRM): Federal Motor Vehicle Safety Standards; V2V Communications. NHTSA, Washington, DC

5. SAE J2735 (2016) Dedicated short range communications (DSRC) message set dictionary. PA SAE, March 30, 2016

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3. A Real-Time C-V2X Beamforming Selector Based on Effective Sequence to Sequence Prediction Model Using Transitional Matrix Hard Attention;IEEE Access;2023