Mobile Energy Efficiency Training
Mobile energy efficiency is an ongoing challenge for the mobile industry.
Fortunately, mobile energy efficiency is expected to get a boost from recent breakthroughs in AI technology.
Telecommunication analysts believe artificial intelligence has an important role to play, creating an autonomous, reactive system capable of automatically taking adapted actions in a network that can have hundreds of thousands of cells. It allows to manage the requirements of an ESF activity during the day, at the network level.
What this means is that instead of being limited to manual and static programming for ESF (energy savings feature) activity during the night (often between midnight and 6 a.m.), artificial intelligence allows with intelligent algorithms an ESF activation adapted to each cell and automated on a 24hr/day basis.
This intelligence automatically and continuously examines the traffic for each cell in order to statistically establish a profile for this traffic, and to detect its repetitive behaviors. This allows the system to predict the evolution of traffic in the future.
Armed with this forecast, the system is able to identify in advance and with a very high probability, the future periods of traffic decrease during the day as well as during the night for each cell on the network and for each day of the week.
It can then open the possibility for the ESFs to operate at daytime during the periods of traffic decline for each cell, thus minimizing the impact on the quality of service. Outside of these periods, the system blocks the operation of the ESFs, allowing users to take full advantage of the maximum capacity installed on the sites.
With artificial intelligence, ESFs are entering a new era without limitation of activity to the nighttime period, through a system capable of activating them during the day as well, all while controlling the impact on the quality of service.
Ideas on how to improve mobile energy efficiency are important in the mobile industry because everyone agrees that it’s crucial to reduce absolute network energy consumption in light of an expected fourfold traffic increase in 5G usage by 2025. In fact, research has shown that smartphones have a much higher energy impact on the environment than any other ICT device. And this impact is only expected to increase over the next few years.
The main cause of this footprint is not because of how the device is used, but rather how it is produced. This includes the energy for material mining, as well as smartphone manufacturing energy.
Another guilty participant in this huge carbon footprint is the phone plans that encourage smartphone users to upgrade their mobile devices every couple of years. This speeds up the rate at which older mobile phones become obsolete and leads to an extraordinary amount of waste.
Although we do not know the full effect of mobile phones on the environment, evidence suggests that the combined footprint of communications networks and data centers is huge, with data centers accounting for almost two-thirds of this. In fact, it is believed that the combined footprint of communications networks and data centers is currently 764 megatons of Co2.
If we compare this to the entire carbon footprint for a country like Canada, which is 730 megatons of Co2, then you can see why this could be an issue.
Mobile Energy Efficiency Training by Tonex
Mobile Energy Efficiency Training is a 2 days course presented by Tonex. Prepare you for real-world power system challenges during your career. It’s trending topic. Global energy consumption for mobile networks. Formostly, Carbon footprint and costs generated by energy use is one of our industry’s greatest challenges.
Prepare you for real-world power system challenges during your career.. Saving energy on node level requires the energy-metering feature to support the energy analytics function. Use of mobile networks can have a decreasing effect on greenhouse gas emissions. As long as, the energy mix utilized by the networks is not carbon neutral and comes in part from fossil fuel, mobile network operations will contribute towards the emission of greenhouse gases into the atmosphere. Learn more with remedies in this course.
Mobile Energy Efficiency Training
Efficient Mobile Energy
Mobile Networks Power Systems. The “MIMO” sleep is an efficient feature to maintain user experience while minimizing waste when lower capacity is quite sufficient. The problem was that it used to require manual configuration which is both time consuming and less efficient.
Who Should Attend
Course recommended for:
- Engineers, managers, supervisors
- Power & energy Professional and technical personnel
- Mobile Networks Power Systems Professionals
- Fundamentals of Mobile Energy Efficiency
- Understand how energy saving on node level requires the energy-metering feature to support the energy analytics function.
- Learn how use of mobile networks can have a decreasing effect on greenhouse gas emissions
- Gain good knowledge of energy mix utilized by the networks and carbon neutral.
- Global energy consumption for mobile networks
- Energy mix utilized by the networks
- Addressing energy consumption
- Role of Radio access network (RAN)
- Saving energy on node level
- Workshops, case-studies