Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks-Reference-Cited by-同舟云学术

Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks

Published:2023-06 Issue: Volume:41 Page:100606
ISSN:2214-2096
Container-title:Vehicular Communications
language:en
Short-container-title:Vehicular Communications

Author:

Paul Anal^ORCID,Choi Kwonhue

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Automotive Engineering

Reference55 articles.

1. Near optimal scheduling for opportunistic spectrum access over block fading channels in cognitive radio assisted vehicular network;Gul;Veh. Commun.,2022

2. Radar sensing-throughput tradeoff for radar assisted cognitive radio enabled vehicular ad-hoc networks;Huang;IEEE Trans. Veh. Technol.,2020

3. Evaluation platform for 5G vehicular communications;Santa;Veh. Commun.,2022

4. Vehicular intelligence in 6G: networking, communications, and computing;Guo;Veh. Commun.,2022

5. Regional super cluster based optimum channel selection for CR-VANET;Pal;IEEE Trans. Cogn. Commun. Netw.,2020

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