French technology company Capgemini said that enterprises owning 5G spectrum will give them better control over their plans, thereby reducing dependency. It added that telecom operators will have a role to play for private enterprise networks as managing networks aren’t core competencies of enterprises.
“…even if the spectrum is available with an industry player, I don’t see the situation where the telcos will not be working with the industry in facilitating that. The industry will use 5G as a connectivity, and it’s just not 5G, it is with hybrid cloud, edge computing, IoT, and all other technologies together,” said Monika Gupta – Vice President, Group 5G & Edge lead for Industries & Partnerships, Capgemini.
Industries have key requirements which are very specific including safety, security and the protection of their data. A 5G private network is one solution which ensures that all the data with the connectivity which is there in the particular enterprise campus stays within the campus and doesn’t go out.
Ms Gupta added: “This is not possible in a macro network or in a telco network because in a telco network, it will be ubiquitously available, and anybody can use it or latch it. And hence private networks are one of the key solution offerings with respect to 5G for its adoption towards industries. 5G connectivity is not their [enterprises’] core operations or their core business. And the telcos will always have a role and some contribution to make in this irrespective of whether they own the spectrum, or the spectrum is with the industry. The adoption of 5G for industries is an ecosystem play.”
Capgemini is currently working with Bharti Airtel under a strategic partnership to develop 5G use cases for enterprises. “…two of our use cases have actually been deployed in Airtel Manesar’s lab,” Gupta said.
Capgemini also works with many of the industry clients in India, many of them being our global MNC clients who have large R&D setups, global R&D IT hubs or operations based out of India, she informed.On 5G, she said that while the launch has been delayed, India can still leverage 5G adoption-related learnings from other countries in terms of adopting certain use cases by localizing.
“…the advantage which India has both for telcos and industries is that there is so much learning which can come to India. Capgemini and many of these global MNCs play a crucial role because when we work on similar projects in other countries and in other regions like Europe, America and Asia Pacific, all of this knowledge is then kind of readily available to us in India,” she added.
A lot of 5G projects in other countries have been delivered out of India, she said, adding that the country already has skill sets and people’s capability for 5G deployment.“…the fine tuning which is required is what works for India. The local customization will happen. India has had a very short phase of 5G trials. Now whenever 5G is commercially available India will go straight into a rollout of 5G and will see a quick adoption,” she added.
Capgemini has a global network of labs. It recently opened a 5G lab in a strategic partnership with Swedish telecom gear maker Ericsson to test enterprise use cases.The company also has a similar lab in Paris, which is our headquarters. It has the third lab in Portugal, while the fourth one is coming up in America. Capgemini has developed the 5G Labs to help strategize, build and monetize what 5G brings next for their businesses.
“All of these labs are primarily industry focused labs. With the industry focus lab, we are primarily experimenting with innovating the application of 5G into industrial operations. So these labs actually replicate a lab environment of an enterprise architecture and 5G becomes an integral connectivity piece in that architecture,” Gupta concluded.
Video of IEEE ComSoc/SCU SoE panel on Open RAN and Private 5G:
At MWC today Intel and Capgemini Engineering unveiled the industry’s first Machine Learning-based RAN application to boost 5G spectrum capacity. Capgemini says their solution gives mobile network operators a significant advantage to monetize 5G services faster. Entitled “Project Marconi,” it conforms to O-RAN (Open Radio Access Network) guidelines to maximize spectrum efficiency. The solution intelligently boosts subscriber quality of experience (QoE) with real-time predictive analytics.
Project Marconi is the industry’s first Artificial Intelligence / Machine Learning (AI/ML) based radio network application for 5G Medium Access Control (MAC) scheduler. Optimized with Intel AI Software and 3rd Gen Intel Xeon Scalable processors.
Network providers globally have invested heavily in spectrum and are looking for solutions to develop and gain 5G services faster. According to the Global Mobile Suppliers Association, the total value of spectrum auctions reached over $27 billion in 2020.
Capgemini’s application (running on Intel Architecture) increases the amount of traffic each cell can handle. It allows operators to serve more subscribers and deliver an outstanding experience, while launching new Industry 4.0 services such as enhanced Mobile Broadband (eMBB) and Ultra Reliable Low Latency Communications (URLLC) use cases.
Walid Negm, Chief Research and Innovation Officer at Capgemini Engineering said: “Our teams worked closely with Intel to create a truly innovative solution that can really move the needle for operators. We gathered and utilized over one terabyte of data and conducted countless test runs with NetAnticipate5G to fine-tune the predictive analytics to meet diverse operator requirements. In short, machine learning can be deployed for intelligent decision-making on the RAN without any additional hardware requirement. This makes it cost efficient in the short run and future proof in the long run as we move into Cloud Native RAN implementations.”
Cristina Rodriguez, VP of Wireless Access Network Division at Intel said: “Our 3rd Gen Intel Xeon Scalable processors with built-in AI acceleration provide high performance for deep learning on the Net Anticipate 5G platform. Together, our collaboration delivered ultra-fast inference data to enhance the Open-Source ML libraries resulting in an intelligent RAN that can predict and quickly react to subscriber coverage requirements while reducing TCO.”
Capgemini deployed its NetAnticipate5G and RATIO O-RAN platform to introduce advanced AI/ML techniques. The AI powered predictive analytical solution forecasts and assigns the appropriate MCS (modulation and coding scheme) values for signal transmission through forecasting of the user signal quality and mobility patterns accurately. In this way, the RAN can intelligently schedule MAC resources to achieve up to 40% more accurate MCS prediction and yield to 15% better spectrum efficiency in the case studies and testing. As a result, it delivers faster data speeds, better and more consistent QoE to subscribers and robust coverage for use cases that rely on low latency connectivity such as robotics-based manufacturing and V2X (vehicle-to-everything).
More information can be found on Capgemeni’s website.
Last week, Capgemini Research Institute released a report titled, “Accelerating the 5G Industrial Revolution: State of 5G and edge in industrial operations” stating that industrial 5G adoption is still at the ideation and planning stages, with only 30% of industrial organizations having moved to the pilot stage or beyond. This means there is a huge window of opportunity for telcos and those industrial organizations that are yet to make a move.
Signaling a paradigm shift, 40% of industrial organizations surveyed expect to roll out 5G at scale at a single site within two years, and the experience of early adopters could persuade others to make the move. 5G trials and early implementations are delivering strong business benefits, with 60% of early adopters saying that 5G has helped to realize higher operational efficiency, while 43% saying they have experienced increased flexibility.
The study also found that industrial organizations are optimistic that 5G will drive revenues by enabling the introduction of new products, services, and business models. In fact, 51% of industrial organizations plan to leverage 5G to offer new products, and 60% plan to offer new services enabled by 5G.
Furthermore, industrial organizations are aware of the role of edge computing in their 5G initiatives and view it as essential to realizing the full potential of 5G. 64% of organizations plan to adopt 5G-based edge computing services within three years, driven by the increased performance, reliability, data security and privacy it offers. More than a third of industrial organizations across sectors surveyed prefer to deploy private 5G networks, with interest in private 5G networks led by the semiconductor and high-tech sector (50%), followed by aerospace and defense (46%).
“Industrial 5G is a key catalyst in unlocking the potential of intelligent industry and accelerating data-driven digital transformation,” comments Fotis Karonis, Group Leader of 5G and Edge Computing at Capgemini. “Enterprises need to take advantage of the benefits of 5G by engaging with the ecosystem to tap into the shared expertise and co-create innovative, sustainable solutions for tomorrow. An element of iteration is required, but organizations should seek to leverage the 5G ecosystem to jointly test solutions and progress with full-scale 5G adoption, fine-tuning the approach as the ecosystem evolves.”
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.