activity
20232026
most citedA Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

1 citations · 1 across the 8 of their papers we have counts for

collaborators

9 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.RO2026

GDPR-Aware Trajectory Sharing for ISAC-Assisted Robot Navigation: A Case Study on FID-Constrained Collision Prediction

Zexin Fang, Bin Han, Donglin Wang +2

Integrated sensing and communication (ISAC) enables intelligent wireless infrastructure but raises growing regulatory concern as fine-grained personal trajectory histories become a…

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.RO2026

SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving

Anjie Qiu, Donglin Wang, Zexin Fang +2

Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present Swar…

cs.AI2026

Towards Energy Impact on AI-Powered 6G IoT Networks: Centralized vs. Decentralized

Anjie Qiu, Donglin Wang, Sanket Partani +2

The emergence of sixth-generation (6G) technologies has introduced new challenges and opportunities for machine learning (ML) applications in Internet of Things (IoT) networks, 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…

eess.SP2023

A Short Overview of 6G V2X Communication Standards

Donglin Wang, Yann Nana Nganso, Hans D. Schotten

We are on the verge of a new age of linked autonomous cars with unheard-of user experiences, dramatically improved air quality and road safety, extremely varied transportation sett…