activity
20062025
most citedDeep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges

13 citations · 88 across the 51 of their papers we have counts for

collaborators
Showing cs.NIShow all

19 papers · 1 filter

cs.NI2024★ 4 cited

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

Minrui Xu, Dusit Niyato, Jiawen Kang +6

Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, com…

cs.NI2024

Resource Slicing with Cross-Cell Coordination in Satellite-Terrestrial Integrated Networks

Mingcheng He, Huaqing Wu, Conghao Zhou +2

Satellite-terrestrial integrated networks (STIN) are envisioned as a promising architecture for ubiquitous network connections to support diversified services. In this paper, we pr…

cs.NI2024

ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches

Yinqiu Liu, Hongyang Du, Dusit Niyato +5

Mobile AI-Generated Content (AIGC) has achieved great attention in unleashing the power of generative AI and scaling the AIGC services. By employing numerous Mobile AIGC Service Pr…

cs.NI2024★ 1 cited

Dynamic Human Digital Twin Deployment at the Edge for Task Execution: A Two-Timescale Accuracy-Aware Online Optimization

Yuye Yang, You Shi, Changyan Yi +5

Human digital twin (HDT) is an emerging paradigm that bridges physical twins (PTs) with powerful virtual twins (VTs) for assisting complex task executions in human-centric services…

cs.NI2023

Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication

Shisheng Hu, Jie Gao, Xinyu Huang +5

In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy an…

cs.NI2023★ 1 cited

A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networks

Jiacheng Wang, Hongyang Du, Dusit Niyato +6

With the significant advancements in artificial intelligence (AI) technologies and powerful computational capabilities, generative AI (GAI) has become a pivotal digital content gen…

cs.NI2023★ 4 cited

Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation

Guangyuan Liu, Hongyang Du, Dusit Niyato +5

Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital content creation. The distinctive abilities of AIGC, such as content generation base…

cs.NI2023★ 6 cited

A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC

Jiayuan Chen, Changyan Yi, Hongyang Du +5

Mobile Artificial Intelligence-Generated Content (AIGC) technology refers to the adoption of AI algorithms deployed at mobile edge networks to automate the information creation pro…

cs.NI2021★ 1 cited

Reliable Distributed Computing for Metaverse: A Hierarchical Game-Theoretic Approach

Yuna Jiang, Jiawen Kang, Dusit Niyato +5

The metaverse is regarded as a new wave of technological transformation that provides a virtual space for people to interact through digital avatars. To achieve immersive user expe…

cs.NI2020★ 2 cited

Low-Latency and Fresh Content Provision in Information-Centric Vehicular Networks

Shan Zhang, Junjie Li, Hongbin Luo +4

In this paper, the content service provision of information-centric vehicular networks (ICVNs) is investigated from the aspect of mobile edge caching, considering the dynamic drivi…

cs.NI2020

The Design of Dynamic Probabilistic Caching with Time-Varying Content Popularity

Jie Gao, Shan Zhang, Lian Zhao +2

In this paper, we design dynamic probabilistic caching for the scenario when the instantaneous content popularity may vary with time while it is possible to predict the average con…

cs.NI2019

Bi-Directional Mission Offloading for Agile Space-Air-Ground Integrated Networks

Sheng Zhou, Guangchao Wang, Shan Zhang +3

Space-air-ground integrated networks (SAGIN) provide great strengths in extending the capability of ground wireless networks. On the other hand, with rich spectrum and computing re…

cs.NI2017★ 8 cited

Cooperative Edge Caching in User-Centric Clustered Mobile Networks

Shan Zhang, Peter He, Katsuya Suto +4

With files proactively stored at base stations (BSs), mobile edge caching enables direct content delivery without remote file fetching, which can reduce the end-to-end delay while…

cs.NI2017

Energy-Sustainable Traffic Steering for 5G Mobile Networks

Shan Zhang, Ning Zhang, Sheng Zhou +4

Renewable energy harvesting (EH) technology is expected to be pervasively utilized in the next generation (5G) mobile networks to support sustainable network developments and opera…

cs.NI2017

Software Defined Networking Enabled Wireless Network Virtualization: Challenges and Solutions

Ning Zhang, Peng Yang, Shan Zhang +5

Next generation (5G) wireless networks are expected to support the massive data and accommodate a wide range of services/use cases with distinct requirements in a cost-effective, f…

cs.NI2016★ 2 cited

Catalyzing Cloud-Fog Interoperation in 5G Wireless Networks: An SDN Approach

Peng Yang, Ning Zhang, Yuanguo Bi +3

The piling up storage and compute stacks in cloud data center are expected to accommodate the majority of internet traffic in the future. However, as the number of mobile devices s…

cs.NI2015★ 5 cited

Joint Scheduling and Power Allocations for Traffic Offloading via Dual-Connectivity

Yuan Wu, Yanfei He, Liping Qian +3

With the rapid growth of mobile traffic demand, a promising approach to relieve cellular network congestion is to offload users' traffic to small-cell networks. In this paper, we i…

cs.NI2015

Spatial Traffic Shaping in Heterogeneous Cellular Networks with Energy Harvesting

Shan Zhang, Sheng Zhou, Jie Gong +4

Energy harvesting (EH), which explores renewable energy as a supplementary power source, is a promising 5G technology to support the huge energy demand of heterogeneous cellular ne…

cs.NI2015★ 1 cited

Dynamic Channel Access for Energy Efficient Data Gathering in Cognitive Radio Sensor Networks

Ju Ren, Yaoxue Zhang, Ning Zhang +3

Wireless sensor networks (WSNs) operating in the license-free spectrum suffer from uncontrolled interference as those spectrum bands become increasingly crowded. The emerging cogni…