Vision aided URLL communications: Proactive service identification and coexistence

M Alrabeiah, U Demirhan, A Hredzak… - 2020 54th Asilomar …, 2020 - ieeexplore.ieee.org
The support of coexisting Ultra-Reliable and Low-Latency Communication (URLLC) and
enhanced Mobile Broad-Band (eMBB) services is a cornerstone challenge to wireless …
被引用次数：8 相关文章 所有 2 个版本

Puncturing-Based Resource Allocation for URLLC and eMBB Services via Matching Theory and Unsupervised Deep Learning

B Shi, C She, FC Zheng, L Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The coexistence of Ultra-Reliable and Low-Latency Communications (URLLC) and
enhanced Mobile BroadBand (eMBB) brings significant challenges for service pairing and …
相关文章
[PDF] ieee.org

Intelligent Resource Management for eMBB and URLLC in 5G and beyond Wireless Networks

RM Sohaib, O Onireti, Y Sambo, R Swash… - IEEE …, 2023 - ieeexplore.ieee.org
In the era of 5G and beyond wireless networks, the simultaneous support of enhanced
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …
被引用次数：13 相关文章 所有 9 个版本

Intelligent Dynamic Resource Allocation and Puncturing for Next Generation Wireless Networks

W AlQwider, AS Abdalla, TF Rahman… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
As we progress from 5G to emerging 6G wireless, the spectrum of cellular communication
services is set to broaden significantly, encompassing real-time remote healthcare …
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[PDF] arxiv.org

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 …
被引用次数：131 相关文章 所有 10 个版本
[PDF] arxiv.org

Green Resource Allocation in Cloud-Native O-RAN Enabled Small Cell Networks

RM Sohaib, ST Shah, O Onireti, Y Sambo… - arXiv preprint arXiv …, 2024 - arxiv.org
In the rapidly evolving landscape of 5G and beyond, cloud-native Open Radio Access
Networks (O-RAN) present a paradigm shift towards intelligent, flexible, and sustainable …
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[PDF] arxiv.org

Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond: A deep reinforcement learning based approach

M Alsenwi, NH Tran, M Bennis… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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 …
被引用次数：273 相关文章 所有 10 个版本

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 …
被引用次数：7 相关文章
[PDF] researchgate.net

AI-enabled radio resource allocation in 5G for URLLC and eMBB users

M Elsayed, M Erol-Kantarci - 2019 IEEE 2nd 5G World Forum …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) network is expected to accommodate heterogeneous traffic with
diverse QoS demands. In this paper, we address the coexistence of Ultra-Reliable Low …
被引用次数：49 相关文章 所有 2 个版本
[PDF] researchgate.net

Resource allocation in URLLC with online learning for mobile users

J Zhang, C Sun, C Yang - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
Neural networks (NNs) have been applied to solve various problems in ultra-reliable and
low-latency communications (URLLC). Facing the stringent quality of service requirement …
被引用次数：5 相关文章 所有 2 个版本