Keysight Technologies Joins AI-RAN Alliance
Keysight Technologies has joined the AI-RAN Alliance to strengthen the use of AI technology and innovations in radio access networks (RAN).
The alliance unites technology, industry and academic institutions to imbed AI into cellular technology, advance RAN performance and mobile network capabilities.
Keysight Technologies: Driving AI innovation in wireless networks
Keysight Technologies works with technology leaders who want to build a more connected world, from its base in Santa Rosa, California. The company made our Top 10: Robotic Process Automation Companies and was also selected as a North American Index Component of the Dow Jones Sustainability Index (DJSI), for its socially responsible operations and environmental processes. With Keysight's PathWave Instrument Robotic Process Automation, the software removes any complexity and mindless repetition.
AI has the potential to revolutionise wireless communications networks, yet the complexity of its operations make RAN an ideal application for AI, in order to drive mobile networks which are reliable and efficient.
The AI-RAN Alliance wants to build up mobile network efficiency, reduce power consumption and retrofit existing infrastructure that can provide new economic opportunities, facilitated by 5G and 6G.
In an exclusive interview with Mobile magazine, Roger Nichols, 6G programme manager at Keysight Technologies, previously spoke with us to break down the opportunities and challenges for tech firms and telcos, as they look beyond 5G.
“There are several technical challenges that span the five areas of technical investment: next generation radio, integrated multi-heterogeneous technology networks (ITU’s ManyNets), time-engineering in networks, AI-enabled and optimised networks. With each of these areas posing enormous challenges.”
- Improving spectral efficiency
- Using architectures more effectively
- Generating new AI-driven revenue opportunities
- Deploying AI at the network edge to offer new services and increase operational efficiency.
Keysight Technologies is aware of the transformative power of AI and how it can shape the future of communications systems. The company is working on a range of research projects, from optimising wireless performance to advancing AI learning in wireless communications testing.
In addition, Keysight is also part of NIST’s AI Safety Consortium, where it is engaged in research initiatives related to the nascent field of validation of AI systems.
The potential of AI for wireless systems
Ardavan Tehrani, Samsung Research, AI-RAN Alliance Board Director, shared that the AI-RAN Alliance is excited to welcome Keysight as a new member.
“As the wireless industry matures from AI model development to deployment, there is a need for rigorous testing of these models to ensure consistent and expected performance and reliability of AI models,” he said. “The domain knowledge Keysight brings in these areas will help further the alliance's mission of bringing AI technology to the RAN.”
With its deep expertise in simulation, modelling and measurement science, Keysight is ready to provide valuable solutions to accelerate the deployment of AI in the RAN and to improve accuracy and trustworthiness of the models of AI in the RAN.
“Joining the AI-RAN Alliance is a natural choice and another proof point of Keysight’s commitment in enabling innovation across the communication and computing industries,” said Giampaolo Tardioli, Vice President, 6G and Next Generation Technology at Keysight. “We look forward to collaborating with the other alliance members to help fully realise the potential of AI for wireless systems.”
Jeff Harris, VP at Keysight, previously spoke with Manufacturing Digital to explore how digital twins better support developers and how the rapid pace of innovation has affected our relationship with technology.
"We expect service levels to increase without incident, be always on in any condition, and deliver the promise of a wide range of new connections we never had before. So too are faster processors, more memory, better battery life, and networked applications that transition seamlessly to any of our many devices. We no longer view new technologies as novelties. We listen to the promises, we try them, and if they work, we rapidly adopt them. The more they work, the more we come to rely on them. The transition from ‘new novelty’ to ‘expectation’ went from years to months to sometimes weeks."
Read the full interview here.
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