HierCoop: Hierarchical Cooperative Resource Allocation for Vehicular Communications in Heterogeneous Networks

Author:

Feng Yixuan1,Yuan Quan1,Luo Guiyang1,Li Jinglin1

Affiliation:

1. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

China Association for Science and Technology (CAST)

Publisher

IEEE

Reference18 articles.

1. Learning Based Energy Efficient Task Offloading for Vehicular Collaborative Edge Computing

2. The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

3. Evolution toward 5G multi-tier cellular wireless networks: An interference management perspective;Ekram;IEEE Wireless communications,2014

4. Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks

5. Utility-and fairness-based spectrum allocation of cellular networks by an adaptive particle swarm optimization algorithm;Xiu;IEEE Transactions on Emerging Topics in Computational Intelligence,2020

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