© ZTE Corporation. All rights reserved.

Leading 5G Innovations

Overall Strategy of Intelligent Power Saving

Multi-layer shutdown brings precise power savingn Equipment deep sleepyn Cell/Carrier shutdownn PA/Channel shutdownn Symbol shutdown

Site level: Multi-layer shutdown

AI-based power saving applies to network collaborationn Initial parameter self configurationn Time window self adjustmentn KPI Roll-back Threshold Self-

Optimization

Network level: AI-based collaboration

Innovative hardware brings lower power consumptionn 7nm High-integration chipsetsn High PA efficiency n Bionic design

Equipment level: hardware design

© ZTE Corporation. All rights reserved.

Leading 5G Innovations

Most Advanced Chipsets Lowest Power Consumption

Multi-layer Intelligent Shutdown

Multi-mode Baseband Processing

28nm

1.0

16nm

2.0

7nm

3.0

5nm2021+

n 3rd generation chipsets bring 4 times computation capacity

n 3rd generation chipsets reduce 50% power consumption of chips

n Transceivers of 28nm 4T4R reduce 60% power consumption compared with 65nm

2T2R

n Even more to expect of 5nm 4th-generation

High-integration chips bring ultimate low power consumption

Digital Intermediate Frequency

40nm

1.0

28nm

2.0

7nm

3.0

5nm2021+

Cell LevelShutdown

Intra-RAT or inter-RAT scenario, capacity cells could be power shutdown during light traffic, while only coverage cell remained.

RF ChannelShutdown

Redundancy RF channel or PA channel shutdown during light traffic with only basic network capacity retained.

Symbol LevelShutdown

Symbol shutdown in normal sub-frames during no traffic or light traffic periods, to save real time power consumption (Only CRS be retained.).

EquipmentDeep Sleeping

System instructs the AAU/RRU to enter the deep sleep mode with minimum unit (power and interface module) .

© ZTE Corporation. All rights reserved.

Leading 5G Innovations

AI Introduced to Further Lower TCO

Scale Deployment in Global Commercial Network

Initial Parameter Self-Configure

n CSON can self-configure the power saving strategy of each cell based on rules in different application scenarios

Time Window Self-Adjustment

n Various ways of history traffic pattern

analysis and prediction

n Analysis down to cell level

n Activation time window can be self adjusted

KPI Roll-back Threshold Self-Optimizationn More comprehensive decision-making: power saving target & KPI target

n Strategy roll-back for little impact on user experience

n 6%-22% power has been saved in night for 2,000 UMTS sites since Aug. 2017 for Ooredoo, Myanmar

n Up to 30% power has been saved in night for 3,000 LTE 850M sites since Mar. 2017 for Telenor, Pakistan

n 8%-15% power has been saved during low traffic time for 1,500+ GSM Sites in AP circle, India for VIL

n GU power saving solution has been activated for 4,000 sites without network performance impact in A1 , Belarus

n 0.36Kwh/cell has been saved per day in average in 10,000+ LTE Sites of Wind Tre, Italy

Power saving solution commercially used in 20+ networks

500,000Sites