Trends
Indosat deploys Nokia AI to cut network emissions
Indosat uses Nokia’s AI-driven energy solution to cut RAN power use and carbon output, deploying it as a scalable SaaS model across Indonesia.
Headline
Indosat uses Nokia’s AI-driven energy solution to cut RAN power use and carbon output, deploying it as a scalable SaaS model across Indonesia.
Context
Indosat Ooredoo Hutchison, Indonesia’s top telco, deployed Nokia’s Energy Efficiency service from Nokia’s Autonomous Networks today to automatically shut down or idle unused radio equipment during low traffic periods across its RAN infrastructure. The AI tool uses machine learning to track real‑time network demand and manage power usage, and also integrates intelligent thermal management to reduce energy used for cooling.
Evidence
Pending intelligence enrichment.
Analysis
This solution is delivered via a Software‑as‑a‑Service model, which stops operators needing large upfront capital or on‑site software updates. Following a successful pilot tes t, the full rollout now covers Nokia‑served sites across Sumatra, Kalimantan, Central and East Java. Also Read: TAWAL’s shared Open RAN model cuts costs by up to 60% Also Read: Vi partners with Nokia for 4G and 5G network expansio n Indosat’s move reflects growing global pressure on telecom companies to balance connectivity and climate targets. As mobile data traffic rises sharply, optimizing energy usage helps control operational costs and mitigate emissions. The AI‑based approach ensures that these benefits don’t come at the expense of network performance or user experience. From a market perspective, efficient energy systems backed by SaaS models help operators avoid heavy upfront CAPEX, making green upgrades financially viable—especially in emerging markets such as Indonesia. For Nokia, this deployment strengthens its position in Southeast Asia and showcases its autonomous network offerings in real commercial settings.
Key Points
- Indosat deploys Nokia Energy Efficiency AI service to power down idle RAN equipment during low-demand, reducing energy use and carbon emissions.
- The SaaS‑based solution avoids large capital outlay and scales across Sumatra, Kalimantan, Central and East Java network areas.
Actions
Pending intelligence enrichment.
