38 citations · 234 across the 201 of their papers we have counts for
216 papers
Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges
Chenqi Li, Minghui Min, Dusit Niyato +1
Diffusion language models (DLMs) offer a non-autoregressive alternative for mobile edge agentic artificial intelligence (AI) by refining tokens through iterative denoising rather t…
Self-Evolving AI for Humanoids: Mechanisms, Safety, and Evaluation of Post-Deployment Self-Improvement
Loc X. Nguyen, Avi Deb Raha, Huy Q. Le +3
Humanoid robots are becoming an important part of embodied artificial intelligence, driven by advances in reinforcement learning for locomotion, world models for prediction, and vi…
Efficient and Privacy-Preserving Distribution Statistics Analytics on Mobile Spatial Data
Xuhao Ren, Chuan Zhang, Mingyang Zhao +3
With the rapid development of mobile computing technology, massive amounts of spatial data are continuously generated from various mobile terminals and sensing devices, such as sma…
Unleashing the Power of Tree-of-Thoughts for Edge-Enabled AIGC Service Provisioning
Zhang Liu, Shanhao Zhan, Shaowei Shen +4
Delivering AI-generated content (AIGC) services fundamentally relies on the reasoning capabilities of generative AI (GenAI) models. Chain-of-Thought (CoT) enhances such reasoning b…
Deep Mixture of Experts Network for Resource Optimization in Aerial-Terrestrial CF-mMIMO Systems under URLLC
Donggen Li, Chong Huang, Jingfu Li +4
As a critical component of sixth-generation (6G) wireless networks, ultra-reliable and low-latency communication (URLLC) is expected to support real-time and reliable information e…
Model Forensics in AI-Native Wireless Networks: Taxonomy, Applications, and Case Study
Pengyu Chen, Weiyang Li, Jin Xu +4
As artificial intelligence (AI) is increasingly embedded in wireless networks, models are becoming core components that influence signal processing, resource scheduling and network…
An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing
Hanwen Zhang, Dusit Niyato, Wei Zhang +2
In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC). This joint operation forms a hybrid scheduling problem,…
Split and Aggregation Learning for Foundation Models Over Mobile Embodied AI Network (MEAN): A Comprehensive Survey
Qianzhou Chen, Siqi Sun, Minrui Xu +6
The rapid advancements in foundation models and sixth-generation (6G) wireless communication systems necessitate the development of efficient, scalable, and privacy-preserving mach…
Rethinking Wireless Communications through Formal Mathematical AI Reasoning
Changyuan Zhao, Jiacheng Wang, Dusit Niyato +5
Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from do…
Near-Field Integrated Sensing, Computing and Semantic Communication in Digital Twin-Assisted Vehicular Networks
Yinchao Yang, Yahao Ding, Jiaxiang Wang +5
Digital twin (DT) technology offers transformative potential for vehicular networks, enabling high-fidelity virtual representations for enhanced safety and automation. However, sea…
Intelligent Forensics in Next-Generation Mobile Networks: Evidence, Methods, and Applications
Jiacheng Wang, Weihong Qin, Jialing He +3
This survey examines intelligent forensics in next-generation mobile networks, arguing that future wireless security must move beyond real-time detection toward accountable post-in…
APEG: Adaptive Physical Layer Authentication with Channel Extrapolation and Generative AI
Xiqi Cheng, Rui Meng, Xiaodong Xu +3
With the rapid advancement of 6G, identity authentication has become increasingly critical for ensuring wireless security. The lightweight and keyless Physical Layer Authentication…
Spatio-Temporal Attention Enhanced Multi-Agent DRL for UAV-Assisted Wireless Networks with Limited Communications
Che Chen, Lanhua Li, Shimin Gong +3
In this paper, we employ multiple UAVs to accelerate data transmissions from ground users (GUs) to a remote base station (BS) via the UAVs' relay communications. The UAVs' intermit…
From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence
Jie Zheng, Dusit Niyato, Changyuan Zhao +2
The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Traditional digital twins prov…
Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks
Yunting Xu, Jiacheng Wang, Ruichen Zhang +6
Multi-uncrewed aerial vehicle (UAV) cooperative perception has emerged as a promising paradigm for diverse low-altitude economy applications, where complementary multi-view observa…
Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
Yiyang Yue, Jiacheng Yao, Wei Xu +3
Wireless federated learning (FL) facilitates collaborative training of artificial intelligence (AI) models to support ubiquitous intelligent applications at the wireless edge. Howe…
In-Wave Computation Aided Stacked Intelligent Metasurfaces in Next-Generation Networks: Challenges and Opportunities
Mengbing Liu, Chau Yuen, Dusit Niyato +2
Stacked intelligent metasurfaces (SIMs) facilitate computation by cascaded programmable layers so that part of the signal processing can be performed in the wave domain during sign…
Knowledge-driven Reasoning for Mobile Agentic AI: Concepts, Approaches, and Directions
Guangyuan Liu, Changyuan Zhao, Yinqiu Liu +2
Mobile agentic AI is extending autonomous capabilities to resource-constrained platforms such as edge robots and unmanned aerial vehicles (UAVs), where strict size, weight, power,…
Secure Semantic Communications via AI Defenses: Fundamentals, Solutions, and Future Directions
Lan Zhang, Chengsi Liang, Zeming Zhuang +4
Semantic communication (SemCom) redefines wireless communication from reproducing symbols to transmitting task-relevant semantics. However, this AI-native architecture also introdu…
Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications
Lingyi Cai, Yu Zhang, Ruichen Zhang +5
Agentic artificial intelligence (AI) presents a promising pathway toward realizing autonomous and self-improving wireless network services. However, resource-constrained, widely di…
Efficient Cross-View Localization in 6G Space-Air-Ground Integrated Network
Min Hao, Yanbing Xu, Maoqiang Wu +6
Recently, visual localization has become an important supplement to improve localization reliability, and cross-view approaches can greatly enhance coverage and adaptability. Meanw…
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking
Siyuan Wang, Lei Lei, Pranav Maheshwari +2
Radio resource allocation (RRA) is a critical function in cellular vehicle-to-everything (C-V2X) networks, where vehicles must share limited wireless resources to support safety-cr…
Joint Visible Light and RF Backscatter Communications for Ambient IoT Network: Fundamentals, Applications, and Opportunities
Boxuan Xie, Yifan Zhang, Kalle Koskinen +6
The rapid growth of the Internet of Things (IoT) devices in the sixth generation (6G) wireless networks raises significant sustainability and scalability challenges due to energy c…
Semantic Forwarding and Codebook-Enhanced Model Division Multiple Access for Satellite-Terrestrial Networks
Jinghong Huang, Mengying Sun, Xiaodong Xu +7
Satellite-terrestrial communications are severely constrained by high path loss, limited spectrum resources, and time-varying channel conditions, rendering conventional bit-level t…