This event from Cambridge Wireless will explore the current and future use of automation, artificial intelligence (AI) and machine learning (ML) and explain how these tools will enable MNOs to derive network efficiencies and lower costs in order to improve network performance and deliver customer experience.
Mobile network operators (MNOs) are apprehensive about 5G. Their plans to serve the growing demand for network capacity must balance investments in new technologies, such as the rollout of 5G networks, in an environment where ARPU (average revenue per user) has been flat or declining. To complicate matters further, 5G networks will need a far larger number of network elements, such as cell sites and massive MIMO antennas, each of which will be more configurable and more complex to manage manually than past generations of equipment.
Additionally, tasks, such as site installation, performance monitoring and ongoing optimisation are opex intensive.