AI智能总结
5G Next: optimising energy in the age of networkcomplexity via integrated dashboards INSIGHT SPOTLIGHT September 2025 This Insight Spotlight is part of our 5G Next series, whichhelps clarify the next phase of 5G and highlights keytechnological innovations. Energy efficiency is becomingincreasingly critical as it directly affects operational costs, Fragmented data across disparate element managershinders visibility and slows or even blocks efficientdecision-making. Vendor-agnostic, cloud-native platformspotentially offer a scalable solution by harmonising inputs Analysis As demand for similar solutions evolve, new companies andlegacy players have the potential to create an entirely newecosystem for these all-in-one dashboards, which are well Shifting cost structures The next stage of 5G advancement is characterised by agrowing emphasis on network efficiency, while energy efficiencyis expected to be a core principle in the development of 6Gtechnologies.Innovations and industry trends are alsoimpacting the three most important cost items for network Driving energy savings and operational efficiency Dashboards featuring a high level of data aggregation addressone of the most persistent challenges faced by networkoperators: fragmented and siloed data across various network •Energy-efficiency improvements:All-in-one data platformsreduce energy use by standardising power data acrossnetworks, giving operators visibility to pinpoint inefficiencies.HVAC optimisation, peak shaving and vendor-agnostic radiopower-saving can deliver deeper efficiencies. Combininganalytics with closed-loop control enables cost savings, Energy, however, is a stubbornly high cost and a more complexchallenge.Energy consumption correlates with factors such asthe number of network layers, coverage requirements, networkdensity, the number of active connections and data traffic, all ofwhich are expected to increase. Energy efficiency has emergedas a key concern, and the growing number of vendors and Bridging silos with scalable infrastructure Energy management is a highly data-intensive area. Networkoperators are required to make numerous decisions everyminute. These site- and equipment-level decisions play a crucialrole in achieving network level energy efficiency. Operators areleveraging a wider range of site power equipment (DC power •Reducing network complexity and visibility:Standardised energy telemetry data and dashboards not only help overcome network complexity but also unlock real-time visibility and actionable insights across the network.Network operators can harvest many actionable insights and Utilising tools in energy management for networks tocomplement proprietary hardware presents a promising model,as demonstrated by their success in other industries such asutilities, transportation and logistics.ClaritechIOuses this •Improving billing efficiency:Standardised, cloud-nativeapproaches address the inefficiencies of fragmented,manual workflows around billing and auditing. They reducedisputes, accelerate billing cycles and support flexible tariff Implications Mobile operators •Collecting, managing and using data to drive smarter energy decisions –There is no effective energy managementwithout effective data collection and management. As the array of available solutions expands, operators need to make agreater number of decisions, which are becoming increasingly complex, every day. With advancements opening up newdomains, operators are now able to optimise sites in closer alignment with evolving network demands, usage patterns, weather •Avoiding unnecessary hardware additions –In the short term, adding new hardware metering may seem optimal:implementing a new meter or device to monitor energy consumption can be an attractive solution, especially when existing datasources are fragmented and managed by various element managers. However, implementing additional hardware-basedsolutions can be costly and frequently requires physical updates and site visits. Hardware cycles in telecommunications aretypically longer than software cycles. Any site work, installation or hardware upgrade will require a site visit, which is particularlyexpensive when assets such as the RAN are widely distributed. Instead of simplification, this will further increase complexity •Choosing the optimal path to data integration –In general, network operators may consider three different approaches fordeveloping or acquiring data integration capabilities and constructing their own data platforms. Since each mobile network has oIn-house solutions:Operators can develop an in-house solution, as network operators possess in-depth knowledge oftheir own networks and have full ownership of relevant data. This approach can be particularly attractive for larger networkoperator groups that have the necessary resources to build and test such a platform. However, developing a similar tool oPartnerships with existing vendors:Operators may choose to partner