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20212026
most citedMobility prediction Based on Machine Learning Algorithms

4 citations · 8 across the 16 of their papers we have counts for

collaborators

17 papers

cs.NI2026

Offline-Tuned Service-Aware TN-NTN Feeder Allocation for 6G Post-Disaster Service Resilience

Donglin Wang, Anjie Qiu, Qiuheng Zhou +1

Terrestrial network (TN) failures during disasters can overload surviving base stations (BSs) and disrupt emergency services. A non-terrestrial network (NTN) provides fallback, but…

eess.SY2026

Network Verified NTN Positioning for 6G A Standards Oriented Survey of Hybrid TN NTN Localization

Donglin Wang, Zexing Fang, Qiuheng Zhou +1

Wireless positioning is evolving from legacy cellular and standalone satellite navigation toward hybrid, high-accuracy, three-dimensional (3D), and network-verifiable frameworks fo…

cs.NI2026

A Disaster-Aware Integrated TN-NTN System-Level Simulator for Resilient 6G Wireless Networks

Donglin Wang, Anjie Qiu, Qiuheng Zhou +1

Non-terrestrial networks (NTN) have been standardized by the 3rd generation partnership project (3GPP) as a key component of future 6G systems to enhance coverage and resilience. I…

cs.NI2026

Comparative Analysis of Direct-to-Cell (D2C) and 3GPP Non-Terrestrial Networks (NTN) for Global Connectivity

Donglin Wang, Anjie Qiu, Qiuheng Zhou +1

The quest for ubiquitous mobile coverage has catalyzed two fundamentally distinct architectural paradigms: Direct-to-Cell (D2C) and standardized 3GPP Non-Terrestrial Networks (NTN)…

cs.DC2025

Over-the-Top Resource Broker System for Split Computing: An Approach to Distribute Cloud Computing Infrastructure

Ingo Friese, Jochen Klaffer, Mandy Galkow-Schneider +3

6G network architectures will usher in a wave of innovative services and capabilities, introducing concepts like split computing and dynamic processing nodes. This implicates a par…

eess.SY2025★ 1 cited

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

Donglin Wang, Anjie Qiu, Qiuheng Zhou +1

The rapid advancement of Vehicle-to-Everything (V2X) communication is transforming Intelligent Transportation Systems (ITS), with 6G networks expected to provide ultra-reliable, lo…

cs.NI2023

Convergence of Manufacturing and Networking in Future Factories

Ilaria Malanchini, Nicola Michailow, Patrick Agostini +8

The roll out of 5G has been mainly characterized by its distinct support for vertical industries, especially manufacturing. Leveraging synergies among these two worlds, namely prod…

cs.NI2023

Adaptive Prediction Approach for 3D Geometry-based communication

Mervat Zarour, Qiuheng Zhou, Sergiy Melnyk +1

This paper addresses the challenges of mobile user requirements in shadowing and multi-fading environments, focusing on the Downlink (DL) radio node selection based on Uplink (UL)…

eess.SY2023

Evaluating the Impact of Numerology and Retransmission on 5G NR V2X Communication at A System-Level Simulation

Donglin Wang, Pranav Balasaheb Mohite, Qiuheng Zhou +2

In recent years, Vehicle-to-Everything (V2X) communication opens an ample amount of opportunities to increase the safety of drivers and passengers and improve traffic efficiency wh…

cs.NI2023

Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks

Donglin Wang, Anjie Qiu, Qiuheng Zhou +2

The advent of 5G New Radio (NR) technology has revolutionized the landscape of wireless communication, offering various enhancements such as elevated system capacity, improved spec…

eess.SP2023★ 1 cited

Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive Review

Wei Jiang, Qiuheng Zhou, Jiguang He +11

Next-generation cellular technologies, commonly referred to as the 6G, are envisioned to support a higher system capacity, better performance, and network sensing capabilities. The…

cs.NI2023

Effect of Variable Physical Numerologies on Link-Level Performance of 5G NR V2X

Donglin Wang, Oneza Saraci, Raja R. Sattiraju +2

With technology and societal development, the 5th generation wireless communication (5G) contributes significantly to different societies like industries or academies. Vehicle-to-E…

cs.NI2023

Mitigating Unnecessary Handovers in Ultra-Dense Networks through Machine Learning-based Mobility Prediction

Donglin Wang, Anjie Qiu, Sanket Partani +2

In 5G wireless communication, Intelligent Transportation Systems (ITS) and automobile applications, such as autonomous driving, are widely examined. These applications have strict…

cs.NI2023

The Effect of Variable Factors on the Handover Performance for Ultra Dense Network

Donglin Wang, Anjie Qiu, Qiuheng Zhou +2

With wireless communication technology development, the 5G New Radio (NR) has been proposed and developed for a decade. This advanced mobile communication technology has more advan…

cs.NE2022

Trust-Awareness to Secure Swarm Intelligence from Data Injection Attack

Bin Han, Dennis Krummacker, Qiuheng Zhou +1

Enabled by the emerging industrial agent (IA) technology, swarm intelligence (SI) is envisaged to play an important role in future industrial Internet of Things (IIoT) that is shap…

cs.LG2021★ 4 cited

Mobility prediction Based on Machine Learning Algorithms

Donglin Wang, Qiuheng Zhou, Sanket Partani +2

Nowadays mobile communication is growing fast in the 5G communication industry. With the increasing capacity requirements and requirements for quality of experience, mobility predi…

eess.SP2021★ 2 cited

Implementation of OpenAirInterface-based real-world channel measurement for evaluating wireless transmission algorithms

Qiuheng Zhou, Wei Jiang

The fourth-generation Wireless Technology (4G) has been adopted by all major operators in the world and has already ruled the cellular landscape for around a decade. A lot of resea…