Cellular network capacity and coverage enhancement with MDT data and deep reinforcement learning
Recent years witnessed a remarkable increase in the availability of data and computing
resources in communication networks. This contributed to the rise of data-driven over model …
resources in communication networks. This contributed to the rise of data-driven over model …
Multi-agent Reinforcement Learning based Distributed Channel Access for Industrial Edge-Cloud Web 3.0
In the emerging Web 3.0 applications for mass customized and personalized manufacturing,
smart mobile resources need to interact with each other and other resources to achieve …
smart mobile resources need to interact with each other and other resources to achieve …
SLA-Driven Traffic Steering in B5G Systems with Network Slicing
In 5G and beyond wireless systems, Network Slicing (NS) feature will enable the
coexistence of extremely different services by splitting the physical infrastructure into several …
coexistence of extremely different services by splitting the physical infrastructure into several …
RL meets Multi-Link Operation in IEEE 802.11 be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation
PE Iturria-Rivera, M Chenier… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
IEEE 802.11 be-Extremely High Throughput-, commercially known as Wireless-Fidelity (Wi-
Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly …
Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly …
RL meets Multi-Link Operation in IEEE 802.11 be: Multi-Headed Recurrent Soft-Actor Critic-based Traffic Allocation
PEI Rivera, M Chenier, B Herscovici, B Kantarci… - arXiv preprint arXiv …, 2023 - arxiv.org
IEEE 802.11 be-Extremely High Throughput-, commercially known as Wireless-Fidelity (Wi-
Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly …
Fi) 7 is the newest IEEE 802.11 amendment that comes to address the increasingly …
Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach
The open radio access network (O-RAN) architecture offers a cost-effective and scalable
solution for internet service providers to optimize their networks using machine learning …
solution for internet service providers to optimize their networks using machine learning …
An Empirical Investigation on Employing Machine Learning for Balancing Home Agent Loads in Next Generation IP Mobility
Mobile IPv6 is a key technology to enable the mobility of devices on next-generation internet
protocol networks. Home agents provide simple services to registered mobile nodes. In …
protocol networks. Home agents provide simple services to registered mobile nodes. In …
Reinforcement learning based mobility load balancing in cellular networks: a two-layered approach
S Buhurcu, L Çarkacıoğlu - Signal, Image and Video Processing, 2024 - Springer
Load balancing in cellular networks has been gaining great importance with the increasing
number of users. When there are too many users in a small area, some of the cells may …
number of users. When there are too many users in a small area, some of the cells may …
Data-Driven Self-Management of Cellular Radio Access Networks.
C Gijón-Martín - 2023 - riuma.uma.es
Data-Driven Self-Management of Cellular Radio Access Networks Page 1 Universidad de
Málaga Escuela Técnica Superior de Ingenierıa de Telecomunicación Programa de …
Málaga Escuela Técnica Superior de Ingenierıa de Telecomunicación Programa de …