Intelligent Resource Management for eMBB and URLLC in 5G and beyond Wireless Networks
In the era of 5G and beyond wireless networks, the simultaneous support of enhanced
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …
Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond: A deep reinforcement learning based approach
In this paper, we study the resource slicing problem in a dynamic multiplexing scenario of
two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and …
two distinct 5G services, namely Ultra-Reliable Low Latency Communications (URLLC) and …
An approach to transmitting urllc data with different latency requirements over embb services based on deep reinforcement learning
X Zhu, J Wang, J Li, H Lu, X Luo… - 2021 7th International …, 2021 - ieeexplore.ieee.org
For different quality of service (QoS), the coexistence of enhancement of mobile broadband
(eMBB) and ultra-reliable low-latency communications (URLLC) on the same radio spectrum …
(eMBB) and ultra-reliable low-latency communications (URLLC) on the same radio spectrum …
Deep reinforcement learning-based joint scheduling of eMBB and URLLC in 5G networks
J Li, X Zhang - IEEE Wireless Communications Letters, 2020 - ieeexplore.ieee.org
To satisfy tight latency constraints, ultra-reliable low latency communications (URLLC) traffic
is scheduled by overlapping the on-going enhanced mobile broad band (eMBB) …
is scheduled by overlapping the on-going enhanced mobile broad band (eMBB) …
Dynamic resource allocation schemes for eMBB and URLLC services in 5G wireless networks
X Han, K Xiao, R Liu, X Liu… - Intelligent and …, 2022 - ieeexplore.ieee.org
The fifth generation (5G) of wireless networks features three core use cases, namely ultra-
reliable and low latency communications (URLLC), massive machine type communications …
reliable and low latency communications (URLLC), massive machine type communications …
SAMUS: Slice-aware machine learning-based ultra-reliable scheduling
C Bektas, D Overbeck, C Wietfeld - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Multiple service types such as Ultra-Reliable Low Latency Communication (uRLLC) and
Enhanced Mobile Broadband (eMBB) are envisioned to be incorporated into the next …
Enhanced Mobile Broadband (eMBB) are envisioned to be incorporated into the next …
Risk-aware resource allocation for URLLC: Challenges and strategies with machine learning
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 …
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …
Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very
relevant research issue is how to manage the coexistence of different types of traffic, each …
relevant research issue is how to manage the coexistence of different types of traffic, each …
5G multi-RAT URLLC and eMBB dynamic task offloading with MEC resource allocation using distributed deep reinforcement learning
In this article, a deep reinforcement learning (DRL) control scheme is proposed to satisfy the
strict Quality-of-Service (QoS) requirements of ultrareliability low-latency communication …
strict Quality-of-Service (QoS) requirements of ultrareliability low-latency communication …
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 …
radio access networks providing two services: Ultra-Reliable Low Latency Communications …