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Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning
Paper review: Reinforcement learning for intent-aware radio resource scheduling in RAN slicing, dynamically allocating resources across network slices based on service-level intents. Continue reading Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning
A Base Station Sleeping Strategy in Heterogeneous Cellular Networks Based on User Traffic Prediction
Paper review: BLSTM-based user traffic prediction for base station sleeping in HetNets, balancing energy savings with QoS by maintaining SINR thresholds. Continue reading A Base Station Sleeping Strategy in Heterogeneous Cellular Networks Based on User Traffic Prediction
The Prediction Analysis of Cellular Radio Access Network Traffic - From Entropy Theory to Networking Practice
Paper review: Entropy-based framework for analyzing and predicting cellular RAN traffic, bridging information theory with practical telecom network traffic forecasting. Continue reading The Prediction Analysis of Cellular Radio Access Network Traffic - From Entropy Theory to Networking Practice
Analyzing and Modeling Spatio-Temporal Dependence of Cellular Traffic at City Scale
Paper review: Spatio-temporal analysis of city-scale cellular traffic patterns, revealing tide effects and correlation structures for improved traffic modeling. Continue reading Analyzing and Modeling Spatio-Temporal Dependence of Cellular Traffic at City Scale
Game-Theoretic Solutions for Data Offloading in Next Generation Networks
Paper review: Game-theoretic approaches (Stackelberg, Nash equilibrium) for data offloading between MNOs and access points, optimizing QoS in next-generation wireless networks. Continue reading Game-Theoretic Solutions for Data Offloading in Next Generation Networks
AI-Ready Energy Modelling for Next Generation RAN
Paper review: AI-ready energy modeling framework (AIMM) for next-generation RAN, using system-level simulation to optimize energy consumption in 5G/6G networks. Continue reading AI-Ready Energy Modelling for Next Generation RAN
Joint Traffic Prediction and Base Station Sleeping for Energy Saving in Cellular Networks
Paper review: LSTM-based traffic prediction for base station sleeping in cellular networks, enabling energy-efficient operation by selectively deactivating underutilized base stations. Continue reading Joint Traffic Prediction and Base Station Sleeping for Energy Saving in Cellular Networks
