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most citedMobility-Aware Seamless Handover with MPTCP in Software-Defined HetNets

3 citations · 9 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.NI2025

Continual Reinforcement Learning for Digital Twin Synchronization Optimization

Haonan Tong, Mingzhe Chen, Jun Zhao +4

This article investigates the adaptive resource allocation scheme for digital twin (DT) synchronization optimization over dynamic wireless networks. In our considered model, a base…

cs.NI2024

Video Semantic Communication with Major Object Extraction and Contextual Video Encoding

Haopeng Li, Haonan Tong, Sihua Wang +3

This paper studies an end-to-end video semantic communication system for massive communication. In the considered system, the transmitter must continuously send the video to the re…

cs.NI2024★ 2 cited

Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving

Jie Lv, Haonan Tong, Qiang Pan +4

This article studies the problem of image segmentation-based semantic communication in autonomous driving. In real traffic scenes, detecting the key objects (e.g., vehicles, pedest…

cs.NI2023

Adaptive Bitrate Video Semantic Communication over Wireless Networks

Wentao Gong, Haonan Tong, Sihua Wang +3

This paper investigates the adaptive bitrate (ABR) video semantic communication over wireless networks. In the considered model, video sensing devices must transmit video semantic…

cs.NI2022★ 2 cited

Image Segmentation Semantic Communication over Internet of Vehicles

Qiang Pan, Haonan Tong, Jie Lv +4

In this paper, the problem of semantic-based efficient image transmission is studied over the Internet of Vehicles (IoV). In the considered model, a vehicle shares massive amount o…

cs.NI2021★ 3 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…