Empowering Private Networks
Customized Solutions for Your Network Needs |
RIC Connect’s AI-Engine drives innovation within private networks. From optimizing performance to enhancing security, our tailored solutions empower your network to thrive.
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 (Open Radio Access Networks) 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.
Our project, utilizing “Seamless OpenRAN Integration” technology, is specifically designed to resolve several key challenges faced by private networks as they adopt and integrate OpenRAN architectures. Here’s how our technology addresses these specific issues and optimizes private network operations:
Our project, utilizing “Seamless OpenRAN Integration” technology, is specifically designed to resolve several key challenges faced by private networks as they adopt and integrate OpenRAN architectures. Here’s how our technology addresses these specific issues and optimizes private network operations:
1. Complex Integration with Existing Systems: Private networks often face significant challenges when integrating new technologies with existing infrastructure.
1. Complex Integration with Existing Systems: Private networks often face significant challenges when integrating new technologies with existing infrastructure.
2. High Costs of Technology Upgrades: Upgrading to Open RAN can be financially daunting for private networks, involving substantial investments in new hardware and software. Mitigation of these costs by enabling the use of existing equipment wherever possible is a must.
3. Legacy Equipment Integration: For private networks, integrating legacy equipment with new Open RAN systems poses significant compatibility challenges.
2. High Costs of Technology Upgrades: Upgrading to Open RAN can be financially daunting for private networks, involving substantial investments in new hardware and software. Mitigation of these costs by enabling the use of existing equipment wherever possible is a must.
3. Legacy Equipment Integration: For private networks, integrating legacy equipment with new Open RAN systems poses significant compatibility challenges.
Our value proposition for private networks using “RIC Connect” technology is centered on delivering a comprehensive and adaptable solution that tackles the unique challenges of transitioning to and optimizing Open RAN architectures. Here’s how our solution specifically addresses and resolves key issues for private networks:
Simplified Integration with Existing Systems
“RIC Connect” facilitates the integration of Open RAN components with existing infrastructure, reducing the complexity and technical challenges associated with system upgrades. This seamless integration is crucial for private networks that often operate with a mix of old and new technologies, ensuring that they can upgrade without disruptive overhauls.
Streamlined Integration Time & Resource
Our solution streamlines the integration process, significantly reducing the time and resources required to update and maintain network infrastructure. This efficiency is crucial for private networks aiming to stay competitive with rapid market changes without the extensive resource pools of larger operators.
Cost-Effective Network Modernization
Our technology significantly lowers the financial barriers to adopting advanced network technologies by allowing the reuse of existing hardware where feasible. This approach minimizes the need for expensive new equipment and reduces the overall cost of transitioning to Open RAN, making modernization more accessible and affordable for private networks.
See RIC Connect in Action!
Harness the power of AI-Powered RIC Connect to accelerate Open RAN deployment, enhancing network agility, interoperability, and security.
Our product “AI-Engine” is specifically designed to resolve several key challenges faced by private networks as they adopt and integrate Open RAN architectures. Here’s how our technology addresses these specific issues and optimizes private network operations:
Our product “AI-Engine” is specifically designed to resolve several key challenges faced by private networks as they adopt and integrate Open RAN architectures. Here’s how our technology addresses these specific issues and optimizes private network operations:
1. Operational Inefficiencies: Traditional RAN setups in private networks can suffer from operational inefficiencies due to manual configurations and adjustments. A solution which automates and optimizes critical network functions like resource allocation, data processing, and system monitoring, is required to enhance operational efficiency and reduce the scope for human error.
1. Operational Inefficiencies: Traditional RAN setups in private networks can suffer from operational inefficiencies due to manual configurations and adjustments. A solution which automates and optimizes critical network functions like resource allocation, data processing, and system monitoring, is required to enhance operational efficiency and reduce the scope for human error.
2. Overwhelming Traditional Network Setups: Traditional private networks 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. A solution that optimizes these processes, enhances the efficiency and capability of network management systems to handle these demands without overloading the infrastructure.
3. 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. A customizable AI-driven application that ensures operators can maintain control over their data and the models used within their networks.
2. Overwhelming Traditional Network Setups: Traditional private networks 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. A solution that optimizes these processes, enhances the efficiency and capability of network management systems to handle these demands without overloading the infrastructure.
3. 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. A customizable AI-driven application that ensures operators can maintain control over their data and the models used within their networks.
Enhanced Operational Efficiency
“AI-Engine” optimizes network operations through automation and advanced data analytics, improving the efficiency of resource allocation, network management, and operational decision-making. This not only reduces operational costs but also enhances network performance, meeting the high standards required by private network environments.
Advanced & Efficient Network Management Solution
Specifically developed for Open RAN architectures, the AI-Engine optimizes critical functions such as data preprocessing and model training, enhancing interoperability across various applications. This not only allows for seamless management of diverse services but also supports robust network operations and dynamic decision-making without heavy reliance on manual processes. Additionally, the AI-Engine facilitates seamless integration with equipment from multiple vendors, simplifying the management of mixed environments and significantly improving interoperability. Enhanced security features ensure the protection of data integrity and system stability throughout the development and deployment of ML/AI-based applications.
Robust Security Protocols
Security is a paramount concern for private networks, especially those handling sensitive or proprietary data. “AI-Engine” incorporates advanced security features that safeguard network operations against emerging threats and vulnerabilities, ensuring that private networks remain secure and resilient against potential breaches.
Ownership of AI-Engine and Trained Data
Our solution gives private networks complete ownership over the AI-Engine and associated trained data. This ownership ensures that they can control and utilize their proprietary data and models, enhancing their offerings and maintaining competitive advantages.
Enhanced Interoperability
Our technology enhances interoperability among disparate network components from various vendors offering AI models. “AI-Engine” facilitates a multi-vendor environment that encourages innovation and reduces vendor lock-in, while ensuring all components function seamlessly together. This is crucial for private networks as it allows greater flexibility in choosing suppliers and optimizes network efficiency.
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.
Our project, the “AI/ML-based x/rApps” is specifically designed to resolve several key challenges faced by private networks as they adopt and integrate Open RAN architectures. Here’s how our technology addresses these specific issues and optimizes private network operations:
Our project, the “AI/ML-based x/rApps” is specifically designed to resolve several key challenges faced by private networks as they adopt and integrate Open RAN architectures. Here’s how our technology addresses these specific issues and optimizes private network operations:
1. Need for Customized Network Solutions: Private networks often require customized solutions tailored to specific operational needs or industry regulations.
2. Vendor Lock-in Risk Reduction: While Open RAN is intended to reduce vendor lock-in, transitioning from existing single-vendor solutions to a multi-vendor environment involves its risks, including increased complexity and potential difficulties in managing service level agreements (SLAs).
1. Need for Customized Network Solutions: Private networks often require customized solutions tailored to specific operational needs or industry regulations.
2. Vendor Lock-in Risk Reduction: While Open RAN is intended to reduce vendor lock-in, transitioning from existing single-vendor solutions to a multi-vendor environment involves its risks, including increased complexity and potential difficulties in managing service level agreements (SLAs).
3. Scalability Challenges: As private networks grow, scaling network infrastructure efficiently can become a challenge.
4. Lack of Technical Expertise: Private networks may not always have the technical expertise required to manage and maintain advanced RAN technologies.
5. Regulatory Compliance: Private networks must comply with stringent regulatory standards, which can be challenging when implementing new technologies.
Customization for Specialized Use-Cases
Our product supports the customization of network functions (i.,e xApps/rApps) to meet specialized use cases. This flexibility enables private networks to tailor their solutions to specific customer needs, enhancing product appeal and market adaptability.
Affordable Enhancement of Network Functionality
Our technology facilitates the cost-effective enhancement of network functionality, including AI/ML-based xApps and rApps, allowing private networks to offer more advanced capabilities without significant investment, thereby appealing to a broader market.
Scalable Network Infrastructure
As private networks grow, the need for scalable solutions becomes critical. Our product is designed to support network expansion and complexity without degrading performance, providing scalable infrastructure that adapts to growing data demands and changing network conditions.
Expert Support and Simplified Management
We understand that private networks may not always possess extensive technical expertise in new network technologies. Therefore, our product includes intuitive management tools and dedicated support to assist operators in navigating the complexities of Open RAN. Comprehensive training and consultative support ensure that network operators can effectively manage and optimize their infrastructure.
Increased Functionality and Cost Reduction Through AI/ML Automation
AI/ML-based automation within “RIC Connect” increases network functionality while reducing operational costs. These technologies automate complex processes, decrease the need for manual intervention, and optimize network performance.
Vendor Lock-in Risk Reduction
While Open RAN is intended to reduce vendor lock-in, transitioning from existing single-vendor solutions to a multi-vendor environment involves its risks, including increased complexity and potential difficulties in managing service level agreements (SLAs).
Regulatory Compliance Assurance
Our solution helps private networks comply with stringent industry regulations, reducing the risk of non-compliance penalties and ensuring operations adhere to legal standards. This is especially beneficial for networks in regulated sectors such as healthcare, finance, and government.
Rapid Deployment and Flexibility
The plug-and-play nature of “RIC Connect” ensures rapid deployment and flexibility, reducing time-to-market for new offerings and allowing quick adaptation to changing market conditions.
Contact Us to Learn How RIC Connect Can Benefit You!
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 Private Networks.