Orchestration Network（AI RAN）-Radio Composer for Intelligent RAN|ZTE

Corporation Consumer Carrier Home and Enterprise

Language

5G-Advanced

Universal Intelligence

Solution Overview

Scenarios and Problems

Network evolution is driving up OPEX

From 2G to 5G, the long-term coexistence of multiple frequency bands and radio access technologies，combined with continuous growth in traffic volume，has significantly increased both energy consumption and operational costs

Traffic growth has not translated into proportional revenue gains

Although operators are constantly enhancing network coverage and capacity to support higher service demands and deliver superior user experiences, the revenue per unit of traffic continues to decline, resulting in a persistent “more traffic, flat revenue” dilemma—commonly known as increment without monetization

Advantages and Highlights

EnergyTurbo

Leveraging dual-layer intelligence, EnergyTurbo enables an end-to-end closed loop of intelligent service identification, energy-saving policy generation, and dynamic execution—ensuring optimal network energy efficiency under any traffic load

OpsTurbo

Powered by automation and multi-agent collaboration, OpsTurbo transforms fault management and network optimization, accelerating the evolution toward L4 high-level autonomous operations

SpectrumTurbo

Driven by AIREngine, SpectrumTurbo enhances AI M-MIMO with adaptive beamforming, pooled resource scheduling and multi-user orchestration—boosting both user experience and network capacity

ExperienceTurbo

With dual-layer intelligence and end-to-end Agentic AI, ExperienceTurbo delivers guaranteed, personalized service experiences—enabling operators to shift from volume-based monetization to a new paradigm of value-driven business

Customer Values

EnergyTurbo

Reduces network energy consumption by 10%-15%

OpsTurbo

Reduces average network fault MTTR (Mean Time To Repair) by 20%

SpectrumTurbo

Improves spectral efficiency by 15%–20%

ExperienceTurbo

Boosts user ARPU by 5%-20%

Further Reading