Seamless Open RAN Integration Platform for Wireless Telecoms Equipment Vendors
Supercharge Your Network Operations |
RIC Connect is engineered to revolutionise the telecommunications industry by serving as a vital technology ensuring seamless AI integration within the Open RAN framework.
WHO WE ARE
About Us
RIC Connect is engineered to revolutionise the telecommunications industry by serving as a vital technology ensuring seamless AI integration within the Open RAN framework.
RIC Connect has been developed by a world-leading research group at the University of York to address the significant challenge of making existing technologies Open RAN-compatible, a pivotal step in the industry advancement.
RIC Connect is a combination of 3 distinct innovative technologies that can be customised to your company's requirements.
These elements collectively enhance network efficiency, reduce integration time, and support the transition to more flexible, future-proof network infrastructures.
RIC Connect not only ensures technological compatibility across different platforms but also offers significant cost savings by enabling the use of existing equipment within new frameworks.
These elements collectively enhance network efficiency, reduce integration time, and support the transition to more flexible, future-proof network infrastructures.
RIC Connect not only ensures technological compatibility across different platforms but also offers significant cost savings by enabling the use of existing equipment within new frameworks.
Seamless Open RAN Integration Platform
Enables equipment from various wireless telecom equipment vendors to communicate and operate cohesively, fostering the adaptability of Open RAN technologies.
AI-Engine
Acts as the central intelligence, driving the development of x/rApps to optimise network functionality.
AI/ML-Based (x,r) Apps
Specialised applications that use AI to enhance network operations, such as energy savings. These services are not only more secure and efficient but also customizable to meet specific requirements.
WHAT WE DO
Our Solutions
Pioneering Seamless ORAN Integration for Future-Proof Telecom Networks through AI-Powered RIC Connect, a Compatibility-Enhancing Solution.
The adaptation layer addresses some of the key challenges faced by wireless telecom vendors transitioning to Open RAN:
1. Inflexibility of Traditional Setups: Traditional, hardware-centric systems are slow to adapt to new technologies and changing network demands, hindering rapid innovation.
2. High Investment Costs: Transitioning to Open RAN often requires expensive updates to both hardware and software, imposing significant financial burdens.
3. Time-consuming Integration: Updating systems to Open RAN is complex and lengthy, leading to operational delays and increased costs due to extensive downtime and manual effort.
4. Legacy Equipment Integration: For wireless telecom equipment vendors, integrating legacy equipment with new Open RAN systems poses significant compatibility challenges.
5. Complexity and Interoperability: Open RAN promotes a diverse supplier ecosystem but increases complexity and interoperability challenges, necessitating enhanced coordination and customization.
1. Inflexibility of Traditional Setups: Traditional, hardware-centric systems are slow to adapt to new technologies and changing network demands, hindering rapid innovation.
2. High Investment Costs: Transitioning to Open RAN often requires expensive updates to both hardware and software, imposing significant financial burdens.
3. Time-consuming Integration: Updating systems to Open RAN is complex and lengthy, leading to operational delays and increased costs due to extensive downtime and manual effort.
4. Legacy Equipment Integration: For wireless telecom equipment vendors, integrating legacy equipment with new Open RAN systems poses significant compatibility challenges.
5. Complexity and Interoperability: Open RAN promotes a diverse supplier ecosystem but increases complexity and interoperability challenges, necessitating enhanced coordination and customization.
The adaptation layer facilitates a streamlined transition to Open RAN by enhancing compatibility and interoperability across diverse network components, enabling vendors to efficiently meet Open RAN standards and improve their market competitiveness. Key benefits include:
Reduced Hardware Replacements
Acts as a compatibility bridge, minimising the need for costly hardware updates, particularly beneficial for vendors with limited budgets.
Streamlined Integration
Significantly reduces the time and resources needed for network updates and maintenance, essential for vendors facing rapid market changes with limited resources.
Cost Savings on Equipment:
Allows repurposing of existing equipment within Open RAN frameworks, potentially offering significant savings on new hardware/software costs, enabling continued sales of current inventory.
See RIC Connect in Action!
Harness the power of AI-Powered RIC Connect to accelerate Open RAN deployment, enhancing network agility, interoperability, and security.
RIC Connect’s AI-Engine, designed for Open RAN architectures, optimises critical functions like data preprocessing and model training, enhancing service management and supporting robust, dynamic network operations with minimal manual intervention. It facilitates seamless integration across multiple vendors’ equipment, simplifying the management of diverse environments and significantly boosting interoperability. Enhanced security features safeguard data integrity and system stability during the development and deployment of AI/ML applications.
RIC Connect’s AI-Engine, designed for Open RAN architectures, optimises critical functions like data preprocessing and model training, enhancing service management and supporting robust, dynamic network operations with minimal manual intervention. It facilitates seamless integration across multiple vendors’ equipment, simplifying the management of diverse environments and significantly boosting interoperability. Enhanced security features safeguard data integrity and system stability during the development and deployment of AI/ML applications.
Additionally, our solution grants vendors complete ownership of the AI-Engine and associated trained data, allowing them to control and utilise their proprietary data and models, thus enhancing their offerings and maintaining competitive advantages.
Additionally, our solution grants vendors complete ownership of the AI-Engine and associated trained data, allowing them to control and utilise their proprietary data and models, thus enhancing their offerings and maintaining competitive advantages.
1. Overwhelming Traditional Vendor Setups: In case of AI/ML technology incorporation, the traditional telecom equipment vendors are often overwhelmed by the intensive demands of model training, data collection, and preprocessing, which critically impede the efficient management and automation of radio resources.
2. Ownership and Compatibility of AI Models: There is often a lack of ownership of AI models and difficulty in ensuring their compatibility across different systems. Our solution includes customizable AI-driven applications that ensure vendors can maintain control over their data and the models used within their networks.
3. Network Security Risks: With the increased complexity and the integration of multiple vendors, ensuring the security of the network becomes more challenging.
1. Overwhelming Traditional Vendor Setups: In case of AI/ML technology incorporation, the traditional telecom equipment vendors are often overwhelmed by the intensive demands of model training, data collection, and preprocessing, which critically impede the efficient management and automation of radio resources.
2. Ownership and Compatibility of AI Models: There is often a lack of ownership of AI models and difficulty in ensuring their compatibility across different systems. Our solution includes customizable AI-driven applications that ensure vendors can maintain control over their data and the models used within their networks.
3. Network Security Risks: With the increased complexity and the integration of multiple vendors, ensuring the security of the network becomes more challenging.
Ready to Upgrade? Contact Us to Learn How RIC Connect Can Benefit You!
Harness the power of AI-Powered RIC Connect to accelerate Open RAN deployment, enhancing network agility, interoperability, and security.
1. Lack of Customisation: Traditional networks lack the flexibility to meet specific user needs. A customisation of network functions with xApps/rApps, is required for enhancing market adaptability and product appeal.
2. High Enhancement Costs: Incorporating advanced AI/ML capabilities into networks typically involves significant expense.
3. Operational Inefficiency: Traditional networks often require extensive manual intervention, increasing operational costs and inefficiencies.
Affordable Enhancement of Network Functionality:
AI/ML-based xApps and rApps enables cost-effective improvements in network functionality, making it accessible to a broader market without heavy investments.
Customisation for Specialised Use-Cases
The X/R apps allows for the customisation of network functions, to meet specific user needs, enhancing product appeal and adaptability in the market.
Security by Design
Our solution incorporates security at every design level, ensuring that network operations are protected against emerging threats, a critical consideration for vendors and their customers.
Increased Functionality and Cost Reduction Through AI/ML Automation
AI/ML automation within "RIC Connect" enhances network functionality and reduces operational costs by automating complex processes, minimising manual intervention, and optimising performance.
Don’t Get Left Behind—Adopt RIC Connect for Enhanced Network Performance!
OUR TEAM
Meet The Ric Connect Team
Swarna Chetty
Entrepreneurial
Lead
Swarna Chetty, with her profound expertise in telecommunications, software development, and machine learning, is poised to serve as the entrepreneurial lead for this programme. Her extensive background, underscored by a PhD in 5G and Beyond Systems using Machine Learning, fortifies her role. Swarna's leadership in pivotal initiatives, including the development of AI-based energy efficiency and network slicing applications, along with ML-based dynamic resource allocation of network services, and her experience as a project manager for an NGO, underscores her technical and managerial prowess.
David Grace
Principal Scientific Advisor (PSA)
David Grace is a Professor (Research), the Advanced Communications Pillar Lead, in the Institute for Safe Autonomy, and the Director of the Centre for High Altitude Platform Applications at the University of York. In 2000, he jointly founded SkyLARC Technologies Ltd. and was one of its directors. From 2014 to 2018, he was the Non-Executive Director of Stratospheric Platforms Ltd. He is currently a Lead Investigator on government-funded YO-RAN and REACH, dealing with O-RAN development and experimentation. He was the Technical Lead on the 14-partner FP6 CAPANINA Project that dealt with broadband communications from high-altitude platforms.
Hamed Ahmadi
Principal Scientific Advisor (PSA)
Hamed Ahmadi is a Reader at the University of York, UK. He has a PhD in intelligent wireless communications and a graduate certificate in Management of Technology both from the National University of Singapore. He has published more than 100 peer-reviewed book chapters, journal and conference papers. He is the lead investigator in iTwins EPSRC IAA project dealing with green and privacy-aware machine learning for O-RAN. He is also a co-investigator in DSIT-funded YO-RAN and REACH projects. He is the associate Editor in Chief of IEEE Communication Standards magazine.
Luke Souter
Technology Transfer Representative
Luke Souter has both a technical and business background, as he has a PhD in biomechanics and an MSc in biomedical engineering. He also has a background in sales, has set up and run his consultancy firm and has worked in a spin-out company previously creating a diabetes therapeutic. He has been working in the commercialisation team at York for over 2 years and has supported 4 previous academic teams on ICURe accelerator programmes. He has expertise in spin-out formation and licensing university technologies. Luke’s contribution will be supporting the academic team throughout the programme with business advice, and helping manage and create the IP strategy for the technology.
Contact Us
To register your interest and learn more about our solutions, please use the contact form below to contact our team. We are particularly keen to hear from Wireless Telecom Equipment Vendors.