D-RAN: A DRL-based demand-driven elastic user-centric RAN optimization for 6G & beyond

SK Kasi, US Hashmi, S Ekin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With highly heterogeneous application requirements, 6G and beyond cellular networks are
expected to be demand-driven, elastic, user-centric, and capable of supporting multiple …

Intelligent ran automation for 5g and beyond

Q Sun, N Li, I Chih-Lin, J Huang… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
5G is becoming more agile and inevitably more complicated for supporting various
deployment scenarios and diversified applications. Artificial Intelligence (AI) is becoming …

User-centric cloud RAN: An analytical framework for optimizing area spectral and energy efficiency

US Hashmi, SAR Zaidi, A Imran - IEEE Access, 2018 - ieeexplore.ieee.org
In this article, we develop a statistical framework to quantify the area spectral efficiency
(ASE) and the energy efficiency (EE) performance of a user-centric cloud based radio …

On the efficiency tradeoffs in user-centric cloud RAN

US Hashmi, SAR Zaidi, A Darbandi… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Ambitious targets for aggregate throughput, energy efficiency and ubiquitous user
experience are propelling the advent of ultra-dense networks. Intercell interference and high …

Network-aided intelligent traffic steering in 6g O-RAN: A multi-layer optimization framework

VD Nguyen, TX Vu, NT Nguyen… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G
networks, considerable efforts have been made in standardization and development of open …

Empowering Traffic Steering in 6G Open RAN with Deep Reinforcement Learning

F Kavehmadavani, VD Nguyen, TX Vu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The sixth-generation (6G) wireless network landscape is evolving toward enhanced
programmability, virtualization, and intelligence to support heterogeneous use cases. The O …

User-centric C-RAN architecture for ultra-dense 5G networks: Challenges and methodologies

C Pan, M Elkashlan, J Wang, J Yuan… - IEEE Communications …, 2018 - ieeexplore.ieee.org
Ultra-dense networks (UDNs) constitute one of the most promising techniques for supporting
the 5G mobile system. By deploying more small cells in a fixed area, the average distance …

Data-driven C-RAN optimization exploiting traffic and mobility dynamics of mobile users

L Chen, D Yang, M Nogueira, C Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The surging traffic volumes and dynamic user mobility patterns pose great challenges for
cellular network operators to reduce operational costs and ensure service quality. Cloud …

O-RAN based proactive ANR optimization

H Kumar, V Sapru, SK Jaisawal - 2020 IEEE Globecom …, 2020 - ieeexplore.ieee.org
As telecommunication networks evolve towards 5G, emerging technologies such as Massive
Internet of Thing (mIoT) and massive Machine Type Communication (mMTC) are predicted …

On-device intelligence for 5g ran: Knowledge transfer and federated learning enabled ue-centric traffic steering

H Zhang, H Zhou, M Elsayed, M Bavand… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traffic steering (TS) is a promising approach to support various service requirements and
enhance transmission reliability by distributing network traffic loads to appropriate base …