Rising energy costs, increased usage, and the need to fulfill decarbonisation targets are forcing Telecos to cut expenses and use electricity more efficiently.
Recent energy price increases have made the most impact on the Telecommunications Sector, aggravating the higher energy consumption associated with network expansion, traffic growth, and the continuous move away from legacy technologies. Before this increase, energy costs were already a substantial cost element for Carriers, accounting for up to 5% of revenue. However, in recent years, large operators' energy costs have outpaced revenue growth by more than 50%. Despite setting aggressive decarbonization targets, operators' responses to growing energy costs have been restrained thus far, hampered by operational and organizational constraints.
The Ongoing Imperative: Turn Your Challenges Into Opportunity With EOS
Since Technology plays an important role in acting on opportunities identified by analytics initiatives inMobiles has developed the most sophisticated AI-based, award-winning energy optimization system “EOS”. The system helps telcos reduce their OPEX substantially, by reducing the transmission power of telecom sites smartly and adaptively, thus decreasing the power when there is no need for full transmission power to be enabled and decreasing the operational costs to the operator.
The pressures driving the need for network energy optimization are expected to remain, if not increase. A successful network energy optimization effort starts with an analysis of the optimization options available and the value at stake in undertaking them.
UP TO 30% OF ITS OPEX.
The applied engine utilizes machine learning and AI to analyze previous trends, and traffic spikes and create traffic network profiles, the service is based on:
o Reinforcement ML
o Smart Control features to guarantee OPEX reduction.
o Utilized smart meters installed RAN site to measure real-time power consumption to be able to analyze the power reduction ratio.
o Forecast and energy reporting system.
Energy Network Optimization in Practice
EOS relies on real-time Al-powered monitoring and analysis of data collected on each radio site to significantly reduce the yearly consumption bill by 30% to 40% and can effectively prolong rectifier lifespan, reduce the Tx power of the non-BCCH timeslots, predict network traffic demand in very high accuracy and can enable the dynamic cell shutdown based on location and peak time in a multi-band network.
It's AI algorithms to sift through network performance historical data, unveiling the intricate patterns of network usage. It can also identify deviations in network behavior, pinpointing sudden spikes in network KPIs or irregular patterns that may be indicative of underlying issues within the network.
o Reduction in ran energy bill. Proven by monthly cell tower energy bills
o Reduction in radio unit (RU) faults for major radio unit vendors
o Improvement of dropped calls for GSM and WCDMA networks
o Improved efficiency of the power system and prolongs its service time
o Enhances Network performance and improves the quality of telecommunications;
Explore the immensely powerful EOS, in-depth, by requesting a FREE TRIAL (done at ZERO cost) by visiting www.inmobiles.net or through a live demo with our experts by mailing us on info@inmobiles.net
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