Communication-Efficient Orchestrations for URLLC Service via Hierarchical Reinforcement Learning

W Shi, M Ganjalizadeh… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
Ultra-reliable low latency communications (URLLC) service is envisioned to enable use
cases with strict reliability and latency requirements in 5G. One approach for enabling …

DRL-based Joint Resource Scheduling of eMBB and URLLC in O-RAN

RM Sohaib, ST Shah, O Onireti… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This work addresses resource allocation challenges in multi-cell wireless systems catering
to enhanced Mobile Broad-band (eMBB) and Ultra-Reliable Low Latency Communications …

Machine learning for 6G enhanced ultra-reliable and low-latency services

Y Liu, Y Deng, A Nallanathan… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Ultra-reliable and low-latency communications (URLLC), as one of the major communication
services of the fifth-generation (5G) and the sixth-generation (6G) cellular networks, is critical …

Risk-aware resource allocation for URLLC: Challenges and strategies with machine learning

A Azari, M Ozger, C Cavdar - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …

Coexistence of eMBB and URLLC in open radio access networks: A distributed learning framework

M Alsenwi, E Lagunas… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
This paper proposes a distributed learning framework for network slicing in multi-cell open
radio access networks providing two services: Ultra-Reliable Low Latency Communications …

Serving non-scheduled URLLC traffic: Challenges and learning-powered strategies

A Azari, C Cavdar, M Ozger - 2018 - diva-portal.org
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Whilst enabling URLLC is essential for realizing many promising 5G …

Multi-objective Resource Allocation for 5G Using Hierarchical Reinforcement Learning

HA Akyildiz, ÖF Gemici, I Hökelek… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
5G and beyond networks are expected to satisfy the challenging requirements of a variety of
vertical services and domains. In this paper, we propose a radio access network (RAN) …

A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

Refiner GAN algorithmically enabled deep-RL for guaranteed traffic packets in real-time URLLC B5G communication systems

A Salh, L Audah, KS Kim, SH Alsamhi… - IEEE …, 2022 - ieeexplore.ieee.org
Ultra-reliable and Low-latency Communications (URLLC) is expected to be one of the most
critical characteristics Beyond fifth-Generation (B5G) cellular networks with stringent low …

Reinforcement learning-based resource allocation for adaptive transmission and retransmission scheme for URLLC in 5G

A Pradhan, S Das - Advances in Machine Learning and Computational …, 2021 - Springer
Ultra-reliable low-latency communication (URLLC) is one of the service categories
envisioned by fifth-generation (5G) wireless systems for supporting mission-critical …