54 citations · 341 across the 72 of their papers we have counts for
73 papers
When xURLLC Meets NOMA: A Stochastic Network Calculus Perspective
Yuang Chen, Hancheng Lu, Langtin Qin +2
The advent of next-generation ultra-reliable and low-latency communications (xURLLC) presents stringent and unprecedented requirements for key performance indicators (KPIs). As a d…
Task-oriented and Semantics-aware Communications for Augmented Reality
Zhe Wang, Yansha Deng
Upon the advent of the emerging metaverse and its related applications in Augmented Reality (AR), the current bit-oriented network struggles to support real-time changes for the va…
Enhancing xURLLC with RSMA-Assisted Massive-MIMO Networks: Performance Analysis and Optimization
Yuang Chen, Hancheng Lu, Chenwu Zhang +2
Massive interconnection has sparked people's envisioning for next-generation ultra-reliable and low-latency communications (xURLLC), prompting the design of customized next-generat…
Task-Oriented Semantics-Aware Communication for Wireless UAV Control and Command Transmission
Yujie Xu, Zhou Hui, Yansha Deng
To guarantee the safety and smooth control of Unmanned Aerial Vehicle (UAV) operation, the new control and command (C&C) data type imposes stringent quality of service (QoS) requir…
Adaptive Federated Pruning in Hierarchical Wireless Networks
Xiaonan Liu, Shiqiang Wang, Yansha Deng +1
Federated Learning (FL) is a promising privacy-preserving distributed learning framework where a server aggregates models updated by multiple devices without accessing their privat…
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
Misha Urooj Khan, Maham Misbah, Zeeshan Kaleem +2
The usage of drones has tremendously increased in different sectors spanning from military to industrial applications. Despite all the benefits they offer, their misuse can lead to…
Contrastive Learning based Semantic Communication for Wireless Image Transmission
Shunpu Tang, Qianqian Yang, Lisheng Fan +3
Recently, semantic communication has been widely applied in wireless image transmission systems as it can prioritize the preservation of meaningful semantic information in images o…
CSK Realization for MC via Spatially Distributed Multicellular Consortia
Rinrada Jadsadaphongphaibool, Dadi Bi, Yansha Deng
The design and engineering of molecular communication (MC) components capable of processing chemical concentration signals is the key to unleashing the potential of MC for interdis…
Energy-Efficient Cellular-Connected UAV Swarm Control Optimization
Yang Su, Hui Zhou, Yansha Deng +1
Cellular-connected unmanned aerial vehicle (UAV) swarm is a promising solution for diverse applications, including cargo delivery and traffic control. However, it is still challeng…
Environment-Aware AUV Trajectory Design and Resource Management for Multi-Tier Underwater Computing
Xiangwang Hou, Jingjing Wang, Tong Bai +3
The Internet of underwater things (IoUT) is envisioned to be an essential part of maritime activities. Given the IoUT devices' wide-area distribution and constrained transmit power…
Federated Learning and Meta Learning: Approaches, Applications, and Directions
Xiaonan Liu, Yansha Deng, Arumugam Nallanathan +1
Over the past few years, significant advancements have been made in the field of machine learning (ML) to address resource management, interference management, autonomy, and decisi…
Goal-Oriented Semantic Communications for 6G Networks
Hui Zhou, Yansha Deng, Xiaonan Liu +2
Upon the arrival of emerging devices, including Extended Reality (XR) and Unmanned Aerial Vehicles (UAVs), the traditional communication framework is approaching Shannon's physical…
Time-triggered Federated Learning over Wireless Networks
Xiaokang Zhou, Yansha Deng, Huiyun Xia +2
The newly emerging federated learning (FL) framework offers a new way to train machine learning models in a privacy-preserving manner. However, traditional FL algorithms are based…
Low-Complexity Beamforming Design for IRS-Aided NOMA Communication System with Imperfect CSI
Yasaman Omid, S. M. Mahdi Shahabi, Cunhua Pan +2
Intelligent reflecting surface (IRS) as a promising technology rendering high throughput in future communication systems is compatible with various communication techniques such as…
Optimization of Grant-Free NOMA with Multiple Configured-Grants for mURLLC
Yan Liu, Yansha Deng, Maged Elkashlan +2
Massive Ultra-Reliable and Low-Latency Communications (mURLLC), which integrates URLLC with massive access, is emerging as a new and important service class in the next generation…
DQN-based Beamforming for Uplink mmWave Cellular-Connected UAVs
Susarla Praneeth, Gouda Bikshapathi, Deng Yansha +3
Unmanned aerial vehicles (UAVs) are the emerging vital components of millimeter wave (mmWave) wireless systems. Accurate beam alignment is essential for efficient beam-based mmWave…
Scalable Multi-agent Reinforcement Learning Algorithm for Wireless Networks
Fenghe Hu, Yansha Deng, A. Hamid Aghvami
Scalability is the key roadstone towards the application of cooperative intelligent algorithms in large-scale networks. Reinforcement learning (RL) is known as model-free and high…
Learning-based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks
Xiaonan Liu, Yansha Deng, Chong Han +1
The quality of experience (QoE) requirements of wireless Virtual Reality (VR) can only be satisfied with high data rate, high reliability, and low VR interaction latency. This high…
Analyzing Uplink Grant-free Sparse Code Multiple Access System in Massive IoT Networks
Ke Lai, Jing Lei, Yansha Deng +2
Grant-free sparse code multiple access (GF-SCMA) is considered to be a promising multiple access candidate for future wireless networks. In this paper, we focus on characterizing t…
Machine Learning for Massive Industrial Internet of Things
Hui Zhou, Changyang She, Yansha Deng +2
Industrial Internet of Things (IIoT) revolutionizes the future manufacturing facilities by integrating the Internet of Things technologies into industrial settings. With the deploy…
QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning
Liyana Adilla binti Burhanuddin, Xiaonan Liu, Yansha Deng +2
A challenge for rescue teams when fighting against wildfire in remote areas is the lack of information, such as the size and images of fire areas. As such, live streaming from Unma…
Analyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission
Hui Zhou, Yansha Deng, Luca Feltrin +1
Fifth Generation (5G) New Radio (NR) does not support data transmission during random access (RA) procedures, which results in unnecessary control signalling overhead and power con…
Learning based signal detection for MIMO systems with unknown noise statistics
Ke He, Le He, Lisheng Fan +3
This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) systems.…
Real-time Video Streaming and Control of Cellular-Connected UAV System: Prototype and Performance Evaluation
Hui Zhou, Fenghe Hu, Michal Juras +2
Unmanned aerial vehicles (UAVs) play an increasingly important role in military, public, and civilian applications, where providing connectivity to UAVs is crucial for its real-tim…