Explanipedia

UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks Open

H.Y Jia, Xiucheng Wang, Nan Cheng, Ruijin Sun, Changle Li · 2025

Sixth generation (6G) systems require environment-aware communication, driven by native artificial intelligence (AI) and integrated sensing and communication (ISAC). Radio maps (RMs), providing spatially continuous channel information, are…

On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach Open

Ziwen Wang, Xiucheng Wang, Nan Cheng, Wenchao Xu, Wei Quan , et al. · 2025

The exponential growth of multimedia data traffic in 6G networks poses unprecedented challenges for immersive communication, where ultra-high-definition, multi-quality streaming must be delivered on demand while minimizing network operatio…

RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction Open

Xiucheng Wang, Qiming Zhang, Nan Cheng, Ruijin Sun, Zan Li , et al. · 2025

In this paper, we propose a novel physics-informed generative learning approach, named RadioDiff-$k^2$, for accurate and efficient multipath-aware radio map (RM) construction. As future wireless communication evolves towards environment-aw…

A Comprehensive Survey of Knowledge-Driven Deep Learning for Intelligent Wireless Network Optimization in 6G Open

Ruijin Sun, Nan Cheng, Changle Li, Wei Quan, Haibo Zhou , et al. · 2025

Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing Open

Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai , et al. · 2024

Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources. However, the overwhelming upload traffic may l…

Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing Open

Ruijin Sun, Yao Wen, Nan Cheng, Wei Wan, Rong Chai , et al. · 2024

Task offloading is a potential solution to satisfy the strict requirements of computation-intensive and latency-sensitive vehicular applications due to the limited onboard computing resources. However, the overwhelming upload traffic may l…

Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G Open

Ruijin Sun, Nan Cheng, Changle Li, Fangjiong Chen, Wen Chen · 2024

In the sixth-generation (6G) networks, newly emerging diversified services of massive users in dynamic network environments are required to be satisfied by multi-dimensional heterogeneous resources. The resulting large-scale complicated ne…

Contents list Open

Richard Röß‐Ohlenroth, Katharina Knippen, Maryana Kraft, Dirk Volkmer, Joséphine de Meester , et al. · 2024

Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection Open

Ruijin Sun, Shize Guo, Changyou Xing, Yexin Duan, Luming Yang , et al. · 2023

Deep neural networks (DNNs) are increasingly being used in malware detection and their robustness has been widely discussed. Conventionally, the development of an adversarial example generation scheme for DNNs involves either detailed know…

Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles Open

Ruijin Sun, Xiao Yang, Nan Cheng, Xiucheng Wang, Changle Li · 2023

By offloading computation-intensive tasks of vehicles to roadside units (RSUs), mobile edge computing (MEC) in the Internet of Vehicles (IoV) can relieve the onboard computation burden. However, existing model-based task offloading methods…

Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach Open

Yang Hao, Nan Cheng, Ruijin Sun, Wei Quan, Rong Chai , et al. · 2023

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 millisecond-level timeliness and scalability required for the dy…

Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach Open

Xiucheng Wang, Nan Cheng, Lianhao Fu, Wei Quan, Ruijin Sun , et al. · 2023

Deep learning has been successfully adopted in mobile edge computing (MEC) to optimize task offloading and resource allocation. However, the dynamics of edge networks raise two challenges in neural network (NN)-based optimization methods: …

Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Open

Xiucheng Wang, Nan Cheng, Longfei Ma, Ruijin Sun, Rong Chai , et al. · 2023

In this paper, to deal with the heterogeneity in federated learning (FL) systems, a knowledge distillation (KD) driven training framework for FL is proposed, where each user can select its neural network model on demand and distill knowled…

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer Open

Ziyou Ren, Nan Cheng, Ruijin Sun, Xiucheng Wang, Ning Lü , et al. · 2022

Multiple-input multiple-output and orthogonal frequency-division multiplexing (MIMO-OFDM) are the key technologies in 4G and subsequent wireless communication systems. Conventionally, the MIMO-OFDM receiver is performed by multiple cascade…

Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach Open

Xiucheng Wang, Lianhao Fu, Nan Cheng, Ruijin Sun, Tom H. Luan , et al. · 2022

Unmanned aerial vehicles (UAVs) are widely used in Internet-of-Things (IoT) networks, especially in remote areas where communication infrastructure is unavailable, due to flexibility and low cost. However, the joint optimization of locatio…

On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks Open

Longfei Ma, Nan Cheng, Xiucheng Wang, Ruijin Sun, Ning Lü · 2022

On-demand service provisioning is a critical yet challenging issue in 6G wireless communication networks, since emerging services have significantly diverse requirements and the network resources become increasingly heterogeneous and dynam…

Cost-Oriented Mobility-Aware Caching Strategies in D2D Networks With Delay Constraint Open

Ruijin Sun, Tingting Yang, Ailing Wang, Meng Qin, Zixuan Fei , et al. · 2019

Pre-caching popular files at mobile users with the aid of device-to-device (D2D) communications can offload the data traffic to low-cost D2D links and reduce the network transmission cost. This leads to additional cache leasing cost brough…

Distributed Resource Allocation for D2D-Assisted Small Cell Networks With Heterogeneous Spectrum Open

Yuanfei Liu, Ying Wang, Ruijin Sun, Zhongyu Miao · 2019

Device-to-device (D2D) communication with increased spectral efficiency and reduced communication delay has undoubtedly become a general trend in future wireless networks. However, when D2D communication is incorporated into small cell net…

Energy Efficient Resource Allocation for UAV-Assisted Space-Air-Ground Internet of Remote Things Networks Open

Zhendong Li, Ying Wang, Man Liu, Ruijin Sun, Yuanbin Chen , et al. · 2019

Internet of remote things (IoRT) networks are regarded as an effective approach for providing services to smart devices, which are often remote and dispersed over in a wide area. Due to the fact that the ground base station deployment is d…

Energy Efficient Downlink Resource Allocation for D2D-Assisted Cellular Networks With Mobile Edge Caching Open

Yuanfei Liu, Ying Wang, Ruijin Sun, Sachula Meng, Runcong Su · 2018

In this paper, a downlink device-to-device (D2D)-assisted cellular networks with mobile edge caching, where most popular video files are independently cached in D2D users and cellular base station (BS), are studied. In the considered syste…

Sum Rate Analysis and Power Allocation for Massive MIMO Systems With Mismatch Channel Open

Xinshui Wang, Ying Wang, Weiheng Ni, Ruijin Sun, Sachula Meng · 2018

Massive multiple-input multiple-output (MIMO) has been regarded as one of the key technologies of fifth-generation cellular systems due to its excellent performance in spectral and energy efficiency, whose performance has also been widely …

Distributed coalitional game for friendly jammer selection in ultra-dense networks Open

Ying Wang, Zhongyu Miao, Ruijin Sun, Lei Jiao · 2016

Consider an ultra-dense heterogeneous network with one malicious eavesdropper intercepting macro-layer information. A portion of small-cell base stations (SBSs) acts as the friendly jammer to help improving macro-users’secrecy rate by tran…

Transceiver Design for Cooperative Non-Orthogonal Multiple Access Systems with Wireless Energy Transfer Open

Ruijin Sun, Ying Wang, Xinshui Wang, Yuan Zhang · 2016

In this paper, an energy harvesting (EH) based cooperative non-orthogonal multiple access (NOMA) system is considered, where node S simultaneously sends independent signals to a stronger node R and a weaker node D. We focus on the scenario…

Destination-aided Wireless Power Transfer in Energy-limited Cognitive Relay Systems Open

Ruijin Sun, Ying Wang, Zhongyu Miao, Xinshui Wang · 2016

This paper considers an energy-limited cognitive relay network where a secondary transmitter (ST) assists to forward the traffic from a primary transmitter (PT) to a primary receiver (PR), in exchange for serving its own secondary receiver…

Destination-Aided Wireless Power Transfer in Energy-Limited Cognitive Relay Systems Open

Ruijin Sun, Ying Wang, Zhongyu Miao, Xinshui Wang · 2016

This paper considers an energy-limited cognitive relay network, where a secondary transmitter (ST) assists to forward the traffic from a primary transmitter (PT) to a primary receiver (PR), in exchange for serving its own secondary receive…

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