Load balancing of radio antennas based on ambient temperature

Abstract

The disclosed technology manages temperature-induced signal degradation in terrestrial wireless telecommunications networks. The technology involves monitoring the temperature of an active radio antenna at a base station. The technology determines a triggering temperature that causes signal degradation and determines an available passive radio antenna to offload the user data within the same base station. Upon detecting the triggering temperature, user data is offloaded to the passive radio antenna. Communication is restored to the active radio antenna once normal temperature conditions along with quality signal are restored. The technology can dynamically distribute the offloading of user data by using artificial intelligence (AI)/machine learning (ML) algorithms to offload user data to the available passive radio that can maintain signal quality for the users. The triggering temperature can be determined based on historical data of the environmental conditions and/or standard specifications of electronic components for the radio antennas.