Dynamic eNodeB Antenna Tilting for Enhanced Efficiency in Self-Organizing Networks

Abstract

Dynamic evolved NodeB (eNB) antenna tilting, base station antenna angles are adjusted to optimize signal quality and range based on community conditions. It proposes Energy Efficiency (EE) solutions for microcells based on a variable eNB antenna tilt configuration for self-organizing networks (SONs) for network scenarios. This is a crucial part of minimal latency and fast speeds in wireless network mobility management. Utilizing a distributed mechanism, the SON architecture provides the ability to share network information with neighboring cells and the overall network. Modifications in eNB antenna tilt are commonly employed in wireless networks to prevent interference and increase cell coverage since the antenna's emissions pattern is directly influenced by angle. Research used a Learning curve-driven deep deterministic policy gradient (LC-DDPG) for eNB antenna tilt optimization. Simulations indicate that LC-DDPG performs better. The approach also meets SON's needs for agility and scalability. However, factors such as terrain uncertainty and interference may limit its performance and hinder the best potential signal transmission.