New White Paper Centers AI as a Critical Component of 5G Telecoms Network Success
December 15 2022 - 4:00AM
Citing artificial intelligence (AI) and 5G as cornerstone
technologies of this decade, a new whitepaper released today by
InterDigital, Inc. (NASDAQ: IDCC) and written by ABI Research
details the integral importance of AI to achieve 5G’s potential.
The whitepaper, AI is the Key for 5G Success, examines the
network domains and standards efforts where AI and ML are being
integrated to automate critical 5G operations.
According to the whitepaper, 5G promises to support multiple
spectral assets, from low-band to millimeter Wave frequencies, and
a proliferation of diverse IoT, consumer, and enterprise use cases,
therefore requiring complex AI algorithms to achieve desired
network function and quality user experience. Demand for advanced
AI algorithms to enhance network planning and maintenance also is
expected to grow as industry considers energy costs and network
sustainability and prepares for future use cases and services.
“AI/ML will deliver benefits to nearly every layer of the 5G
network domain, from the RAN and core networks to business and
operational applications over top. While AI/ML is increasingly
integrated within the business and operational layers of 5G
networks today, tech evolution will see greater AI/ML impact within
network foundations like the RAN,” said Milind Kulkarni, VP and
Head of Wireless Labs at InterDigital. “This new frontier of AI/ ML
integration will require new R&D in machine learning
algorithms, and InterDigital is proud to drive research in this
rich area of innovation and standardization.”
The whitepaper describes key use cases for AI in 5G networks,
including the following:
- Network optimization through Dynamic
Traffic Steering uses intelligent AI/ML solutions to improve user
experience as the network manages traffic across different access
technologies, including 4G, Wi-Fi and 5G.
- The RAN is beginning to leverage AI
algorithms to optimize Massive MIMO to calculate the optimal angle,
position, beamwidth, and other parameters that help drive the
massive capacity increase from 4G to 5G networks.
- RAN Intelligence Controller (RIC)
and Service Management and Orchestration (SMO) are promising
network features introduced in Open RAN networks that can drive
significant value by eliminating market barriers to open interfaces
from third parties and allowing new entrants to apply their
innovative algorithms to telecoms networks.
- AI models and algorithms are being
tapped to reduce network costs in a variety of domains, including
bridging varying network vendor equipment and management models,
leading real-time resource management, predicting future network
requirements to optimize procurement decisions, and aiding with
network planning and deployment.
- AI/ML capabilities are critical for
cellular service providers to embrace full closed-loop automation
and progress towards applications that can make and implement
self-driven decisions for the network, with minimal human input.
This approach requires a variety of KPIs from across the mobile
ecosystem and an end-to-end orchestrated and tightly integrated
network.
“AI is not a new concept in cellular and telecom networks – in
fact it has been used to optimize many parts of the network stack
and business processes for years. However, network automation using
AI/ML is now becoming vital to manage the number of devices,
increasing amounts of traffic and a plethora of use cases in the
network domain,” said Dimitris Mavrakis, Senior Research Director
at ABI Research. “The proliferation of AI/ML in cellular networks
is now creating the foundation upon which newer generations will be
built, including 5G Advanced and 6G, which will introduce
completely new types of service innovation and consumer
experiences.”
To achieve greater network automation, cellular service
providers increasingly use standards-based architectures and open
APIs within AI/ML-based automation platforms to overcome extensive
customization and siloed processes in the network stack. 3GPP is
exploring the use of AI in the 5G network in Release 18, and
InterDigital is actively supporting the effort to investigate the
benefits of augmenting the New Radio Air Interface with AI/ML
models to enhance performance and reduce complexity. Additionally,
the ORAN Alliance has established reference architecture for RIC
and SMO network elements to leverage AI algorithms in order to
maintain and optimize the network, while ETSI has developed the
Experiential Network (ENI) framework for AI in telecoms networks to
create closed-loop management systems to enhance network
operations.
As the proliferation of devices, spectrum bands, data traffic,
and infrastructure vendors makes 5G networks increasingly complex,
AI is an important tool to automate and manage the critical network
operations today, and into the future.
To read the whitepaper, AI is the Key for 5G Success,
please click here.
About InterDigital ®
InterDigital develops mobile and video technologies that are at
the core of devices, networks, and services worldwide. We solve
many of the industry’s most critical and complex technical
challenges, inventing solutions for more efficient broadband
networks, better video delivery, and richer multimedia experiences
years ahead of market deployment. InterDigital has licenses and
strategic relationships with many of the world’s leading technology
companies. Founded in 1972, InterDigital is listed on NASDAQ.
InterDigital is a registered trademark of InterDigital, Inc.
For more information, visit: www.InterDigital.com
InterDigital Contact:
Roya
StephensEmail: Roya.Stephens@interdigital.com+1 (202)
349-1714
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