501 citations · 654 across the 17 of their papers we have counts for
17 papers
Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach
Hao Yang, Nan Cheng, Ruijin Sun +5
This paper proposes an novel knowledge-driven approach for resource allocation in device-to-device (D2D) networks using a graph neural network (GNN) architecture. To meet the milli…
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality
Conghao Zhou, Jie Gao, Mushu Li +3
In this paper, we design a 3D map management scheme for edge-assisted mobile augmented reality (MAR) to support the pose estimation of individual MAR device, which uploads camera f…
Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching
Wen Wu, Ning Zhang, Nan Cheng +4
Edge caching is emerging as the most promising solution to reduce the content retrieval delay and relieve the huge burden on the backhaul links in the ultra-dense networks by proac…
Performance Analysis and Enhancement of Beamforming Training in 802.11ad
Wen Wu, Nan Cheng, Ning Zhang +4
Beamforming (BF) training is crucial to establishing reliable millimeter-wave communication connections between stations (STAs) and an access point. In IEEE 802.11ad BF training pr…
SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer
Ziyou Ren, Nan Cheng, Ruijin Sun +3
Multiple-input multiple-output and orthogonal frequency-division multiplexing (MIMO-OFDM) are the key technologies in 4G and subsequent wireless communication systems. Conventional…
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks
Longfei Ma, Nan Cheng, Xiucheng Wang +2
On-demand service provisioning is a critical yet challenging issue in 6G wireless communication networks, since emerging services have significantly diverse requirements and the ne…
Autonomous Vehicular Networks: Perspective and Open Issues
Tom H. Luan, Yao Zhang, Lin Cai +3
The vehicular ad hoc networks (VANETs) have been researched for over twenty years. Although being a fundamental communication approach for vehicles, the conventional VANETs are cha…
Futuristic Intelligent Transportation System
Yilong Hui, Zhou Su, Tom H. Luan +1
The emerging autonomous vehicles (AVs) will inevitably revolutionize the transportation systems. This is because of a key feature of AVs; instead of being managed by human drivers…
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
Conghao Zhou, Wen Wu, Hongli He +5
In this paper, we investigate a computing task scheduling problem in space-air-ground integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the consid…
Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization
Mushu Li, Nan Cheng, Jie Gao +4
In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) with the objective to optimize computation offloading with minimum UAV energy consumption…
Fast mmwave Beam Alignment via Correlated Bandit Learning
Wen Wu, Nan Cheng, Ning Zhang +4
Beam alignment (BA) is to ensure the transmitter and receiver beams are accurately aligned to establish a reliable communication link in millimeter-wave (mmwave) systems. Existing…
Multi-Drone 3D Trajectory Planning and Scheduling in Drone Assisted Radio Access Networks
Weisen Shi, Junlng Li, Nan Cheng +4
Drone base station (DBS) is a promising technique to extend wireless connections for uncovered users of terrestrial radio access networks (RAN). To improve user fairness and networ…
3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection
Weisen Shi, Junling Li, Nan Cheng +5
Drone cell (DC) is an emerging technique to offer flexible and cost-effective wireless connections to collect Internet-of-things (IoT) data in uncovered areas of terrestrial networ…
ECD: An Edge Content Delivery and Update Framework in Mobile Edge Computing
Shangguang Wang, Chuntao Ding, Ning Zhang +3
This article proposes an edge content delivery framework (ECD) based on mobile edge computing in the era of Internet of Things (IOT), to alleviate the load of the core network and…
Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges and Opportunities
Nan Cheng, Wenchao Xu, Weisen Shi +5
The ever-increasing mobile data demands have posed significant challenges in the current radio access networks, while the emerging computation-heavy Internet of things (IoT) applic…
Big Data Driven Vehicular Networks
Nan Cheng, Feng Lyu, Jiayin Chen +5
Vehicular communications networks (VANETs) enable information exchange among vehicles, other end devices and public networks, which plays a key role in road safety/infotainment, in…
Multi-message Authentication over Noisy Channel with Secure Channel Codes
Dajiang Chen, Ning Zhang, Nan Cheng +4
In this paper, we investigate multi-message authentication to combat adversaries with infinite computational capacity. An authentication framework over a wiretap channel $(W_1,W_2)…