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Zhu Han

Researcher at University of Houston

Publications -  1649
Citations -  61568

Zhu Han is an academic researcher from University of Houston. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 109, co-authored 1407 publications receiving 48725 citations. Previous affiliations of Zhu Han include University of British Columbia & University of Maryland University College.

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Proceedings ArticleDOI

AoI Minimization for UAV-to-Device Underlay Communication by Multi-agent Deep Reinforcement Learning

TL;DR: In this paper, a multi-UAV trajectory design algorithm was proposed by leveraging multi-agent deep reinforcement learning to solve the AoI minimization problem in a cellular Internet of UAVs.
Proceedings ArticleDOI

Equilibrium analysis for zero-determinant strategy in resource management of wireless network

TL;DR: This paper proposes a zero-determinant strategy for the administrator so as to reach an equilibrium where the social welfare is satisfying and simulation results show the correctness and superiority of the proposed strategy, compared with other equilibrium concepts such as the correlated equilibrium.
Journal ArticleDOI

Accelerating Content Delivery via Efficient Resource Allocation for Network Coding Aided D2D Communications

TL;DR: This paper investigates cooperative relaying scheme (RNCC) for cooperative D2D communications, which is aided by the random linear network coding, and proposes a distributed QoS-aware greedy algorithm, which yields close to optimal solution.
Proceedings ArticleDOI

Joint adaptive power and modulation management in wireless networks with antenna diversity

TL;DR: This work reduces about 40% of overall transmitting power and increases average spectral efficiency by about 0.9 bit/s/Hz and can be interpreted as "water filling" each link's SINR in the time domain and allocating network throughput to different links at each time.
Proceedings ArticleDOI

Zero-determinant strategy in cheating management of wireless cooperation

TL;DR: Simulation results show that when the AoC applies the proposed zero-determinant strategy, the high social welfare can be maintained, and both AoC and PoC receive better performances than those of noncooperation.