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20142025
most citedAnalyzing Novel Grant-Based and Grant-Free Access Schemes for Small Data Transmission

54 citations · 341 across the 72 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

eess.SY2021

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…

eess.SP2021

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…

eess.SP2021★ 2 cited

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…

eess.SP2021★ 3 cited

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…

cs.IT2021★ 1 cited

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…

cs.LG2021★ 5 cited

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…

eess.SP2021

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…

eess.SY2021★ 54 cited

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…

cs.LG2021★ 2 cited

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.…

eess.SY2021

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…

cs.IT2021★ 6 cited

A General Deep Reinforcement Learning Framework for Grant-Free NOMA Optimization in mURLLC

Yan Liu, Yansha Deng, Hui Zhou +2

Grant-free non-orthogonal multiple access (GF-NOMA) is a potential technique to support massive Ultra-Reliable and Low-Latency Communication (mURLLC) service. However, the dynamic…