Mobile Communications and Networks

It is our pleasure to present a rich set of papers with the objective constructing path very high rate, ultra-reliable and ubiquitous mobile communications in July 2023 issue Mobile Communications Networks series. The articles span wide range topics, including use machine learning for channel quality prediction, uplink time synchronization techniques non-terrestrial networks (NTN) 3GPP, evolution digital terrestrial television (DTT), integrated sensing IEEE 802.11bf, altitude platform station (HAPS) green computing, blockchain-based network slice management, subsequently their potential address dynamic unpredictable traffic demands users an energy-efficient manner, finally architecture proposal 6G new requirements. Channel information critical cellular communication manage resources provide services within required limit. Due emergence diverse applications, uses scenarios (e.g., sensors, vehicles, IoT, massive antenna arrays, flying base stations) 6G, challenging need increased density, criticality complexity acquiring amplify significantly. article “Machine Learning-based Quality Prediction Networks” outlines limitations existing solution obtaining proposes forward-looking predicting based on learning. traditional approach transmitting, measuring reporting reference signals not scalable future deployment, as it time, energy resource heavy. proposed alternative reduces overhead consumption, predicts by finding relationship among characteristics correlation.