Deep Q-Learning Based Collaborative Caching in Mobile Edge Network
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8462-6_38
Reference10 articles.
1. Gao, J., Zhao, L., Sun, L.: Probabilistic caching as mixed strategies in spatially-coupled edge caching. In: 2018 29th Biennial Symposium on Communications (BSC), Toronto, ON, pp. 1–5 (2018)
2. Ribeiro, A.V., Sampaio, L.N., Ziviani, A.: Affinity-based user clustering for efficient edge caching in content-centric cellular networks. In: 2018 IEEE Symposium on Computers and Communications (ISCC), Natal, pp. 00474–00479 (2018)
3. Zhang, F., et al.: EdgeBuffer: caching and prefetching content at the edge in the mobilityfirst future internet architecture. In: 2015 IEEE 16th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, pp. 1–9 (2015)
4. Dai, J., Liu, D.: MAPCaching: a novel mobility aware proactive caching over C-RAN. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, pp. 1–6 (2017)
5. Zhang, Y., Li, C., Luan, T.H., Fu, Y., Shi, W., Zhu, L.: A mobility-aware vehicular caching scheme in content centric networks: model and optimization. IEEE Trans. Veh. Technol. 68(4), 3100–3112 (2019)
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