The article explains how 3GPP officially named the 6G RAN node aNB, traces the evolution of base‑station terminology from 1G BS to 5G gNB, details the four‑part aNB naming scheme, and outlines the technical expectations for 6G base stations such as AI integration and massive antenna arrays.
This article presents a dynamic RAN slicing model and an online PW‑DRL approach that combines deep learning, reinforcement learning, and Lyapunov optimization to allocate resources adaptively, detailing a four‑step decision process, LSTM/CNN predictions, and experimental results showing improved transmission rates and acceptance ratios across DTT, DS, and TO slices.
The article examines how the massive rollout of 5G creates complex radio‑network challenges and how AI/ML, combined with O‑RAN standards and open‑ecosystem xAPP/rAPP architectures, can accelerate self‑intelligence in wireless networks, improve performance, reduce energy consumption, and pave the way for future large‑model‑driven automation.
