ZTE Corporation, a global leading provider of information and communication technology solutions, and China Mobile have jointly completed the research and laboratory verification of key technologies for their wireless network digital twin. This milestone includes multi-service twinning, wireless channel twinning, and intelligent optimization decision-making based on ZTE’s high-fidelity wireless network digital twin platform.
Laying Down the Foundation of the Future
This successful verification lays the technological foundation for the joint cooperation of China Mobile’s new generation artificial intelligence (AI) open platform and ZTE’s digital twin platform, leading the development of wireless network intelligence and promoting technology innovation to empower the digital transformation of operators.
The multi-service twinning technology utilises temporal Generative Adversarial Networks (GAN) to replicate real video services such as iQiyi, Youku and Tencent within the digital twin environment. Notably, the packet mean error of the digital twin application remains controlled within 10% when compared to real applications.
This precision allows for evaluating the impact of real applications on user behaviours, network scheduling capabilities, and network performance indicators with exceptional accuracy. This groundbreaking technology empowers operators to make informed decisions and effectively optimise their wireless networks.
The wireless channel twinning technology performs high-fidelity twinning of wireless channels in physical networks. By extracting specific channel characteristics, it further improves twinning precision. The RSRP error of the twinned wireless channel is controlled within 2 dB, and the errors of other major air interface indicators such as throughput are within 15%.
Meanwhile, intelligent prediction technology is used for outdoor wireless channels, and the standard deviation between the predicted RSRP value and the measured RSRP value within a range below 3 dB.
Enhancing Network Intelligence
Intelligent optimisation decision is a critical approach to enhance network intelligence. It offers researchers an approximation of a real wireless network twinning environment, where AI algorithms can be designed to make intelligent optimisation decisions and improve network performance.
Utilising the digital twin platform, the output of intelligent optimisation decision results in an increase of more than 5% in downlink throughput and more than 25% in uplink throughput, compared with manual optimisation.
The verification results demonstrate that the precision of multi-service twinning and wireless channel twinning is comparable to the latest research results in the industry, providing a critical foundation for applying digital twin technology to real networks. As a result, digital twins significantly improve network intelligence, reduce repetitive costs and enhance network performance. Moreover, compared with manual optimisation, digital twins offer technical support for subsequent intelligent network optimisation.
A Continuing Collaboration
Moving forward, China Mobile will deepen its collaboration with ZTE to explore network digital twin capabilities, including wireless network environment twinning, site twinning and terminal twinning. Driven by the demands of multi-scenario applications, this initiative aims to empower precise planning, efficient optimisation, and intelligent simplified O&M activities by leveraging key digital twin technologies.
Through opening up capabilities for remote service calls, multi-scenario applications intend to build an open industry-academia-research integration ecosystem, co-create a new paradigm of intelligent services, and initiate a novel digital twin cooperation model.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)