H
Haijun Zhang
Researcher at University of Science and Technology Beijing
Publications - 324
Citations - 11652
Haijun Zhang is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Resource allocation & Computer science. The author has an hindex of 39, co-authored 269 publications receiving 8417 citations. Previous affiliations of Haijun Zhang include Beijing University of Posts and Telecommunications & University of British Columbia.
Papers
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Machine Learning Paradigms for Next-Generation Wireless Networks
TL;DR: The goal is to assist the readers in refining the motivation, problem formulation, and methodology of powerful machine learning algorithms in the context of future networks in order to tap into hitherto unexplored applications and services.
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Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges
TL;DR: In this article, a logical architecture for network-slicing-based 5G systems is introduced, and a scheme for managing mobility between different access networks, as well as a joint power and subchannel allocation scheme in spectrum sharing two-tier systems based on network slicing, where both the co-tier interference and crosstier interference are taken into account.
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Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
TL;DR: In this article, the authors review the thirty-year history of ML by elaborating on supervised learning, unsupervised learning, reinforcement learning and deep learning and investigate their employment in the compelling applications of wireless networks, including heterogeneous networks, cognitive radios (CR), Internet of Things (IoT), machine to machine networks (M2M), and so on.
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Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network
TL;DR: This paper proposes a low-complexity suboptimal algorithm, which includes energy-efficient subchannel assignment and power proportional factors determination for subchannel multiplexed users and proposes a novel power allocation across subchannels to further maximize energy efficiency.
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Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum
TL;DR: Simulation results show that the proposed network architecture and interference avoidance schemes can significantly increase the capacity of 4G heterogeneous cellular networks while maintaining the service quality of Wi-Fi systems.