Deep Reinforcement Learning for Improving Resource Utilization Efficiency of URLLC With Imperfect Channel State Information

Extreme ultra-reliable and low-latency communication

(2022) Jihong Park et al.   Nature Electronics

Joint Design of Channel Training and Data Transmission for MISO-URLLC Systems

(2022) Yichuan Lin et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse

(2022) Zhen Meng et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Resource Slicing for eMBB and URLLC Services in Radio Access Network Using Hierarchical Deep Learning

(2022) Mehdi Setayesh et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

(2021) Changyang She et al.   PROCEEDINGS OF THE IEEE

Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach

(2021) Madyan Alsenwi et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

The Complexity–Performance Tradeoff in Resource Allocation for URLLC Exploiting Dynamic CSI

(2021) Federico Librino et al.   IEEE Internet of Things Journal

Deep Learning for Radio Resource Allocation With Diverse Quality-of-Service Requirements in 5G

(2020) Rui Dong et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Tactile-Internet-Based Telesurgery System for Healthcare 4.0: An Architecture, Research Challenges, and Future Directions

(2019) Rajesh Gupta et al.   IEEE NETWORK

Wireless Communication for Factory Automation: an opportunity for LTE and 5G systems

(2016) Bernd Holfeld et al.   IEEE COMMUNICATIONS MAGAZINE

Quasi-Static Multiple-Antenna Fading Channels at Finite Blocklength

(2014) Wei Yang et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Channel Coding Rate in the Finite Blocklength Regime

(2010) Yury Polyanskiy et al.   IEEE TRANSACTIONS ON INFORMATION THEORY