26 citations · 80 across the 21 of their papers we have counts for
21 papers
A Covert Precision Satellite Communication Framework Assisted by Cooperative IRSs
Haoyang Wu, Yunfan Bai, Mei Shen +5
Satellite communication (SatCom), as an effective complement to terrestrial networks, has attracted considerable attention from both academia and industry owing to its wide coverag…
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
Fei Song, Zhe Wang, Jun Li +3
In ultra-dense unmanned aerial vehicle (UAV) networks, it is challenging to coordinate the resource allocation and interference management among large-scale UAVs, for providing fle…
Deep Transfer Learning-based Detection for Flash Memory Channels
Zhen Mei, Kui Cai, Long Shi +3
The NAND flash memory channel is corrupted by different types of noises, such as the data retention noise and the wear-out noise, which lead to unknown channel offset and make the…
Quantization Design for Resistive Memories With Multiple Reads
Zhen Mei, Kui Cai, Long Shi +1
Due to the crossbar array architecture, the sneak-path problem severely degrades the data integrity in the resistive random access memory (ReRAM). In this letter, we investigate th…
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang, Jun Li, Long Shi +5
Intelligent transportation systems (ITSs) have been fueled by the rapid development of communication technologies, sensor technologies, and the Internet of Things (IoT). Nonetheles…
Beamforming and Phase Shift Design for HR-IRS-aided Directional Modulation Network with a Malicious Attacker
Feng Shu, Hangjia He, Rongen Dong +5
In this paper, we propose to use hybrid relay-intelligent reflecting surface (HR-IRS) to improve the security performance of directional modulation (DM) system. In particular, the…
Linking Souls to Humans: Blockchain Accounts with Credible Anonymity for Web 3.0 Decentralized Identity
Taotao Wang, Zibin Lin, Shengli Zhang +3
A decentralized identity system that can provide users with self-sovereign digital identities to facilitate complete control over their own data is paramount to Web 3.0. The accoun…
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Xiumei Deng, Jun Li, Chuan Ma +4
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learnin…
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
Xiumei Deng, Jun Li, Chuan Ma +5
The blockchain technology has been extensively studied to enable distributed and tamper-proof data processing in federated learning (FL). Most existing blockchain assisted FL (BFL)…
Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work
Long Shi, Taotao Wang, Jun Li +1
In Proof-of-Work (PoW) blockchains, the average waiting time to generate a block is inversely proportional to the computing power of the miner. To reduce the average block generati…
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
Jun Li, Yumeng Shao, Kang Wei +5
Federated learning (FL), as a distributed machine learning paradigm, promotes personal privacy by local data processing at each client. However, relying on a centralized server for…
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm
Chuan Ma, Jun Li, Ming Ding +4
Motivated by the explosive computing capabilities at end user equipments, as well as the growing privacy concerns over sharing sensitive raw data, a new machine learning paradigm,…
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
Cheng Wang, Kang Wei, Lingjun Kong +4
The error correcting performance of multi-level-cell (MLC) NAND flash memory is closely related to the block length of error correcting codes (ECCs) and log-likelihood-ratios (LLRs…
Probabilistic Caching for Small-Cell Networks with Terrestrial and Aerial Users
Fei Song, Jun Li, Ming Ding +5
The support for aerial users has become the focus of recent 3GPP standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper,…
Dynamic Virtual Resource Allocation for 5G and Beyond Network Slicing
Fei Song, Jun Li, Chuan Ma +3
The fifth generation and beyond wireless communication will support vastly heterogeneous services and use demands such as massive connection, low latency and high transmission rate…
Path Planning for UAV-Mounted Mobile Edge Computing with Deep Reinforcement Learning
Q. Liu, L. Shi, L. Sun +3
In this letter, we study an unmanned aerial vehicle (UAV)-mounted mobile edge computing network, where the UAV executes computational tasks offloaded from mobile terminal users (TU…
Coded Caching with Polynomial Subpacketization
Wentu Song, Kui Cai, Long Shi
Consider a centralized caching network with a single server and users. The server has a database of files with each file being divided into packets ( is known as sub…
User Association and Path Planning for UAV-Aided Mobile Edge Computing with Energy Restriction
Yuwen Qian, Feifei Wang, Jun Li +3
Mobile edge computing (MEC) provides computational services at the edge of networks by offloading tasks from user equipments (UEs). This letter employs an unmanned aerial vehicle (…
Dynamic Content Update for Wireless Edge Caching via Deep Reinforcement Learning
Pingyang Wu, Jun Li, Long Shi +3
This letter studies a basic wireless caching network where a source server is connected to a cache-enabled base station (BS) that serves multiple requesting users. A critical probl…
Some new Constructions of Coded Caching Schemes with Reduced Subpacketization
Wentu Song, Kui Cai, Long Shi
We study the problem of constructing centralized coded caching schemes with low subpacketization level based on the placement delivery array (PDA) design framework. PDA design is a…
Information Theoretic Bounds Based Channel Quantization Design for Emerging Memories
Zhen Mei, Kui Cai, Long Shi
Channel output quantization plays a vital role in high-speed emerging memories such as the spin-torque transfer magnetic random access memory (STT-MRAM), where high-precision analo…