Deep Reinforcement Learning Based Dynamic Content Placement and Bandwidth Allocation in Internet of Vehicles-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based Dynamic Content Placement and Bandwidth Allocation in Internet of Vehicles

Published:2021 Issue: Volume: Page:244-253
ISSN:0302-9743
Container-title:Wireless Algorithms, Systems, and Applications
language:
Short-container-title:

Author:

Ma Teng,Chen Xin,Ma Zhuo,Jiao Libo

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86137-7_27

Reference14 articles.

1. Al Ridhawi, I., Aloqaily, M., Kantarci, B., et al.: A continuous diversified vehicular cloud service availability framework for smart cities. Comput. Netw. 145, 207–218 (2018)

2. Guevara, L., Auat, C.F.: The role of 5G technologies: challenges in smart cities and intelligent transportation systems. Sustainability 12(16), 6469 (2020)

3. Zhou, H., Xu, W., Chen, J., et al.: Evolutionary V2X technologies toward the internet of vehicles: challenges and opportunities. Proc. IEEE 108(2), 308–323 (2020)

4. Song, J., Sheng, M., Quek, T.Q.S., et al.: Learning-based content caching and sharing for wireless networks. IEEE Trans. Commun. 65(10), 4309–4324 (2017)

5. Alioua, A., Senouci, S.M., Sedjelmaci, H., et al.: Incentive edge caching in software” defined internet of vehicles: a Stackelberg game approach. Int. J. Commun. Syst. 32(17), e3787 (2019)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Offloading and Frequency Allocation for Internet of Vehicles with Energy Harvesting;Algorithms and Architectures for Parallel Processing;2022

2. Deep Reinforcement Learning-based Edge Caching and Multi-link Cooperative Communication in Internet-of-Vehicles;2021 17th International Conference on Mobility, Sensing and Networking (MSN);2021-12