New white paper focuses on AI as a critical component of 5G | Jobs Reply

WILMINGTON, Del., Dec. 15, 2022 (GLOBE NEWSWIRE) — A new white paper released today by InterDigital, Inc. (NASDAQ: IDCC) and authored by ABI cites artificial intelligence (AI) and 5G as cornerstone technologies of this decade, with research describing integral importance of AI to unlock the potential of 5G. the white paper, AI is the key to 5G successexamines the network domains and standards efforts where AI and ML are integrated to automate critical 5G operations.

According to the white paper, 5G promises to support multiple spectral assets, from low-band to millimeter-wave frequencies, and proliferate diverse IoT, consumer, and enterprise use cases, requiring complex AI algorithms to deliver the desired network function and high-quality user experience to reach . Demand for advanced AI algorithms to improve network planning and maintenance is also expected to increase as the industry considers energy costs and network sustainability and prepares for future use cases and services.

“AI/ML will bring benefits to almost every layer of the 5G network domain, from RAN and core networks to beyond business and operational applications. Today, as AI/ML is increasingly being integrated into the business and operations layers of 5G networks, technology evolution will have a greater impact of AI/ML on network foundations like RAN,” said Milind Kulkarni, VP and Head of Wireless Labs at InterDigital . “This new frontier of AI/ML integration will require new research and development in machine learning algorithms, and InterDigital is proud to drive research in this rich area of ​​innovation and standardization.”

The white paper outlines key use cases for AI in 5G networks, including the following:

  • Dynamic Traffic Steering network optimization 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 use Massive MIMO optimization AI algorithms to calculate the optimal angle, position, beam width and other parameters that will help drive the massive capacity increase from 4G to 5G networks.
  • RAN Intelligence Controller (RIC) and Service Management and Orchestration (SMO) are promising network capabilities to be introduced in Open RAN networks that can add significant value by removing market barriers to third-party open interfaces and allowing new market entrants to leverage their innovative ones Applying algorithms to telecommunications networks.
  • AI models and algorithms are leveraged to reduce network costs in a variety of areas, including bridging disparate device and management models from network vendors, driving real-time resource management, predicting future network needs to optimize procurement decisions, and assisting with of network planning and deployment.
  • AI/ML capabilities are critical for mobile operators to achieve full closed-loop automation and advances toward applications that can make and execute 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 mobile and telecom networks – in fact, it has been used for years to optimize many parts of the network stack and business processes. However, network automation using AI/ML is becoming increasingly important to manage the number of devices, increasing traffic and a variety of network use cases,” said Dimitris Mavrakis, Senior Research Director at ABI Research. “The proliferation of AI/ML in mobile networks is now laying the foundation upon which newer generations will build, including 5G Advanced and 6G, which will introduce entirely new types of service innovation and consumer experiences.”

To achieve greater network automation, mobile operators are increasingly using standards-based architectures and open APIs within AI/ML-based automation platforms to overcome extensive customization and siled processes in the network stack. 3GPP is exploring the use of AI in the 5G network in Release 18, and InterDigital is actively supporting efforts to explore the benefits of augmenting the New Radio Air Interface with AI/ML models to improve performance and reduce complexity. In addition, the ORAN Alliance established a reference architecture for RIC and SMO network elements to leverage AI algorithms to maintain and optimize the network, while ETSI developed the Experiential Network (ENI) framework for AI in telecom networks, to create a closed-loop management systems to improve network operations.

As the proliferation of devices, frequency bands, traffic, and infrastructure providers makes 5G networks increasingly complex, AI is and will continue to be an important tool for automating and managing critical network operations.

To read the white paper, AI is the key to 5G successPlease click here.

About InterDigital ®

InterDigital develops mobile and video technologies that form 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. InterDigital has licenses and strategic relationships with many of the world’s leading technology companies. InterDigital was founded in 1972 and is listed on the NASDAQ.

InterDigital is a registered trademark of InterDigital, Inc.

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InterDigital contact:

Roya Stephens
+1 (202) 349-1714

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