[PDF][PDF] Reinforcement Learning Algorithm for Load Balancing in Self‐Organizing Networks

MS Ali, P Coucheney, M Coupechoux - Wiley 5G Ref, 2019 - researchgate.net
Due to the increase of traffic and data rate requirements, 5G consists of many more base
stations (BS) than previous generation networks: traditional macro cells are coexisting with …

Semi-Static Cell Differentiation and Integration with Dynamic BBU-RRH Mapping In Open RAN Access Network

DM Hussein, BKJ Al-Shamari - 2024 21st International Multi …, 2024 - ieeexplore.ieee.org
The rapid expansion of 5G networks has heightened concerns about the environmental
impact of energy-intensive infrastructure. This paper introduces a novel algorithm for …

Carbon-Aware Machine Learning: A Case Study on Cellular Traffic Forecasting with Spiking Neural Networks

T Tsiolakis, N Pavlidis, V Perifanis… - … Conference on Artificial …, 2024 - Springer
Cellular traffic forecasting is an essential task that enables network operators to perform
resource allocation and anomaly mitigation in fast-paced modern environments. However …

A Differentiable Throughput Model for Load-Aware Cellular Network Optimization Through Gradient Descent

L Eller, P Svoboda, M Rupp - IEEE Access, 2024 - ieeexplore.ieee.org
The efficient operation of cellular networks requires careful tuning of configuration
parameters, such as the transmit power or antenna tilts, to adequately balance interference …

An adaptive power management scheme for wlans using reinforcement learning

TH Lim, SH Rhee - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Nowadays, most mobile devices are adopting WLAN (Wireless Local Area Network)
technology due to its low cost and high performance. Since those devices are usually battery …

Power control in 5G heterogeneous cells considering user demands using deep reinforcement learning

A Giannopoulos, S Spantideas, C Tsinos… - … Conference on Artificial …, 2021 - Springer
Heterogeneous cells have been emerged as the dominant design approach for the
deployment of 5G wireless networks. In this context, inter-cell interferences are expected to …

User-Centric Power Saving in Self-Organizing Mobile Networks

M Artuso, J Thrane… - 2018 IEEE 88th Vehicular …, 2018 - ieeexplore.ieee.org
Traffic growth in mobile networks is posing challenges not only from the point of view of the
capacity demands, but also from the power consumption. At the same time, mobile networks …

Generative Adversarial Network for Simulation of Load Balancing Optimization in Mobile Networks

FJ Tey, TY Wu, Y Wu, JL Chen - Journal of Internet Technology, 2022 - jit.ndhu.edu.tw
The commercial operation of 5G networks is almost ready to be launched, but problems
related to wireless environment, load balancing for example, remain. Many load balancing …

WGAN-Based Oversampling for QoS-Aware M2M Network Power Allocation

J Zhou, Y Tao - 2024 International Conference on Computing …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) in the new era of 5G and 6G. Pursuing an autonomous strategy for
optimal power allocation remains a significant research topic in M2M communication …

Energy Consumption Optimization in Mobile Communication Networks

F Bahlke, M Pesavento - arXiv preprint arXiv:1807.02651, 2018 - arxiv.org
This work addresses the challenge of minimizing the energy consumption of a wireless
communication network by joint optimization of the base station transmit power and the cell …