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20182021
most citedOptimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach

3 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI20213 cited

Mobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets

Haonan Tong, Tao Wang, Yujiao Zhu +3

In this paper, the problem of vertical handover in software-defined network (SDN) based heterogeneous networks (HetNets) is studied. In the studied model, HetNets are required to o…

eess.SP20202 cited

A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks

Sihua Wang, Mingzhe Chen, Xuanlin Liu +3

In this paper, a joint task, spectrum, and transmit power allocation problem is investigated for a wireless network in which the base stations (BSs) are equipped with mobile edge c…

cs.LG2019

Analysis of Memory Capacity for Deep Echo State Networks

Xuanlin Liu, Mingzhe Chen, Changchuan Yin +1

In this paper, the echo state network (ESN) memory capacity, which represents the amount of input data an ESN can store, is analyzed for a new type of deep ESNs. In particular, two…

cs.IT20193 cited

Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach

Xuanlin Liu, Mingzhe Chen, Changchuan Yin

In this paper, the problem of trajectory design of unmanned aerial vehicles (UAVs) for maximizing the number of satisfied users is studied in a UAV based cellular network where the…

cs.IT2018

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

Mingzhe Chen, Omid Semiari, Walid Saad +2

In this paper, the problem of enhancing the virtual reality (VR) experience for wireless users is investigated by minimizing the occurrence of breaks in presence (BIP) that can det…