A survey on model-based, heuristic, and machine learning optimization approaches in RIS-aided wireless networks
Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
Interference management in 5G and beyond networks: A comprehensive survey
During the last decade, wireless data services have had an incredible impact on people's
lives in ways we could never have imagined. The number of mobile devices has increased …
lives in ways we could never have imagined. The number of mobile devices has increased …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
ADAPTIVE6G: Adaptive resource management for network slicing architectures in current 5G and future 6G systems
A Thantharate, C Beard - Journal of Network and Systems Management, 2023 - Springer
Future intelligent wireless networks demand an adaptive learning approach towards a
shared learning model to allow collaboration between data generated by network elements …
shared learning model to allow collaboration between data generated by network elements …
Learning from peers: Deep transfer reinforcement learning for joint radio and cache resource allocation in 5G RAN slicing
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …
network (RAN), edge, transport and core slicing. The evolving network architecture requires …
Dynamic CU-DU selection for resource allocation in O-RAN using actor-critic learning
S Mollahasani, M Erol-Kantarci… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Recently, there has been tremendous efforts by network operators and equipment vendors
to adopt intelligence and openness in the next generation radio access network (RAN). The …
to adopt intelligence and openness in the next generation radio access network (RAN). The …
Latency-aware task scheduling in software-defined edge and cloud computing with erasure-coded storage systems
The collaborative edge and cloud computing system has emerged as a promising solution to
fulfill the unprecedented high requirements of 5G application scenarios. Due to vendor …
fulfill the unprecedented high requirements of 5G application scenarios. Due to vendor …
Energy-aware dynamic DU selection and NF relocation in O-RAN using actor–critic learning
Open radio access network (O-RAN) is one of the promising candidates for fulfilling flexible
and cost-effective goals by considering openness and intelligence in its architecture. In the …
and cost-effective goals by considering openness and intelligence in its architecture. In the …
Accelerating reinforcement learning via predictive policy transfer in 6G RAN slicing
AM Nagib, H Abou-Zeid… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reinforcement Learning (RL) algorithms have recently been proposed to solve dynamic
radio resource management (RRM) problems in beyond 5G networks. However, RL-based …
radio resource management (RRM) problems in beyond 5G networks. However, RL-based …
Energy-efficient and delay-guaranteed joint resource allocation and du selection in o-ran
T Pamuklu, S Mollahasani… - 2021 IEEE 4th 5G World …, 2021 - ieeexplore.ieee.org
The radio access network (RAN) part of the next-generation wireless networks will require
efficient solutions for satisfying low latency and high-throughput services. The open RAN (O …
efficient solutions for satisfying low latency and high-throughput services. The open RAN (O …