Latest news with #3GPP
Phone Arena
2 days ago
- Business
- Phone Arena
Nokia's published timeline reveals when commercial 6G service will begin
Sometimes it feels as though 5G just got here. The faster data speeds and low latency of the wireless standard promised to help deliver amazing capabilities. Analysts thought that 5G would allow surgeons to perform remote medical operations. Many expected to see highways full of self-driving vehicles by now along with smart cities where everything from traffic lights to waste collection would be efficiently run using 5G. It is estimated that there are only about 5 years remaining until 6G service becomes available making it unlikely that we will see 5G achieve its fullest expectations. Now that the chapter on 5G is getting ready to close, the 3rd Generation partnership project (3GPP), made up of telecom standards organizations, met last week in Prague to discuss the possible architecture behind 6G radio. Last week's meeting in Prague included the technical specification group (TSG) whose studies are supposed to be wrapped up by the first quarter of 2027. 6G specifications will come from these meetings which will be part of 3GPP Release 21. The latter should lead to the finalization of the first 6G standard in 2029. That will lead to the launch of 6G in 2030 although it might not stop some carriers from offering 6G service before others. -Nokia After the meeting last week, both Nokia and Ericsson commented on what they expect from 6G. Nokia's blog included a timeline calling for a commercial launch of 6G by the fourth quarter of 2029. Nokia says that 6G technology will allow phone batteries to run longer. The company also said that 6G deployment will require large amounts of spectrum. The plan is for 6G and 5G to share existing spectrum. This will use 5G-6G Multi-RAT Spectrum Sharing (MRSS). 5G is very much suitable for sharing spectrum with 6G. Nokia publishes a timeline revealing when 6G commercial service will start. | Image credit-Nokia While 4G/5G dynamic spectrum sharing is already a thing, it is not as efficient as 5G-6G Multi-RAT Spectrum Sharing (MRSS) will be. For its part, Ericsson also says that MRSS will play an important role in the transition from 5G to 6G. Both Nokia and Ericsson expect AI and machine learning to play a huge part in 6G standards. Ericsson says that AI will be used to deliver enhanced receiver performance, AI-aided mobility measurements, AI-aided positioning, and more. Secure your connection now at a bargain price! We may earn a commission if you make a purchase Check Out The Offer
Time of India
12-06-2025
- Business
- Time of India
India Working on Indigenous AI-Powered Telecom Technologies: DoT Official
HighlightsSanjeev K. Bidwai, Member (Technology) of the Department of Telecommunications, emphasized that artificial intelligence will be a foundational technology for future networks, enabling services such as immersive experiences and autonomous operations. India's expanding artificial intelligence startup ecosystem, supported by a conducive policy framework, positions the country as a global leader in the development of AI-native telecommunications networks. Institutions like the Indian Institute of Technology Jodhpur, in collaboration with the Centre for Development of Telematics, are working on AI frameworks for automated network management, including a real-time 5G testbed compliant with Open Radio Access Network standards. Artificial intelligence will serve as a foundational technology for future networks, with AI-native systems enabling new services like immersive experiences, autonomous operations and integrated sensing, a DoT official has said. Sanjeev K. Bidwai, Member (Technology), Department of Telecommunications , on Wednesday said institutions like C-DoT , IITs and other leading R&D centers are working on indigenous AI-powered telecom technologies , actively contributing to international standards through platforms like ITU-T, ITU-R and 3GPP. "According to ITU-R's vision document M.2160, AI will be a key enabler for future networks, from intelligent radio interface management to cross-domain orchestration and personalised service delivery. " AI native networks will not only manage complexity but will unlock new service frontiers, immersive digital experiences, autonomous systems, integrated sensing and on-demand slicing for multi-tasks. This evolution is not just technological, it is strategic," he said. India is home to one of the world's largest and most dynamic telecom markets, offering a rich and diverse testing ground for AI native solutions, Bidwai said during the 3rd meeting of the ITU-T focus group on AI native for telecommunication networks here. India's expanding AI startup ecosystem, backed by a supportive policy framework in AI, data governance and digital public infrastructure, makes it ready and a true global leader in shaping the future of AI native networks. "IIT Jodhpur, in partnership with the Centre for Development of Telematics (CDOT), is developing AI frameworks for automated network management for detection and diagnostics. "This includes establishing a real-time 5G and beyond testbed compliant with ORAN standards. Further, DOT has signed a letter of intent with ITU to explore AI-driven digital twin technologies for infrastructure planning," Bidwai said. He said DoT is positioning India at the forefront of AI native networking, fostering innovation and contributing to the evaluation of intelligent autonomous telecommunication networks.
Hans India
11-06-2025
- Business
- Hans India
Telecom networks in future will use AI: DoT official
New Delhi: The telecom networks in the future will use Artificial intelligence (AI), representing a fundamental shift in telecom design, a senior Department of Telecommunications (DoT) official said on Wednesday. Addressing the inaugural session of the International Telecommunication Union (ITU-T) Focus Group meeting here, Sanjeev Bidwai, Member (Technology), DoT, noted the growing role of AI in third generation partnership project (3GPP) standards, enabling intelligent orchestration across domains. Bidwai highlighted India's ongoing efforts in this space, including national initiatives like 'Bharat Gen'-India's first indigenously developed, government-funded, AI-based Multimodal Large Language Model (LLM) for Indian languages, as well as other projects led by IITs and CDOT in AI-based network automation and digital twins. He also emphasised the importance of deploying AI in an ethical, inclusive, and secure manner, highlighting the need for explainability, digital sovereignty, and the evolution of regulatory frameworks. In a video address, Seizo Onoe, Director of the Telecommunication Standardization Bureau, ITU, underscored the potential of AI-native networks to deliver next-generation performance through intelligent automation, self-management, and real-time optimisation. Atsuo Okuda, ITU Regional Director for Asia-Pacific, highlighted the region's pivotal role as a digital innovation hub, emphasising that AI-native networks are essential to building smart, secure, and responsive communication systems. She drew attention to the need for collaborative frameworks to bridge the digital divide and power emerging use cases in smart cities, healthcare, and education. During the event, India sought support of ITU members for its bid to host the ITU Plenipotentiary Conference 2030 (PP-30), continued membership in the forthcoming ITU Council (2027-2031) and for Indian nominee, M. Revathi, as the first woman and first regional candidate for Director of the ITU Radiocommunication Bureau (2027–30). This event marks a significant milestone in shaping the future of AI-native telecommunication networks, with the potential to revolutionize the global communications landscape, said the Ministry of Communications.
Time of India
11-06-2025
- Business
- Time of India
India working on indigenous AI-powered telecom technologies: DoT official
New Delhi: Artificial intelligence will serve as a foundational technology for future networks, with AI-native systems enabling new services like immersive experiences, autonomous operations and integrated sensing, a DoT official has said. Sanjeev K Bidwai, Member (Technology), Department of Telecommunications , on Wednesday said institutions like C-DoT, IITs and other leading R&D centres are working on indigenous AI-powered telecom technologies , actively contributing to international standards through platforms like ITU-T, ITU-R and 3GPP. "According to ITU-R's vision document M.2160, AI will be a key enabler for future networks, from intelligent radio interface management to cross-domain orchestration and personalised service delivery. " AI native networks will not only manage complexity but will unlock new service frontiers, immersive digital experiences, autonomous systems, integrated sensing and on-demand slicing for multi-tasks. This evolution is not just technological, it is strategic," he said. India is home to one of the world's largest and most dynamic telecom markets, offering a rich and diverse testing ground for AI native solutions, Bidwai said during the 3rd meeting of the ITU-T focus group on AI native for telecommunication networks here. India's expanding AI startup ecosystem, backed by a supportive policy framework in AI, data governance and digital public infrastructure, makes it ready and a true global leader in shaping the future of AI native networks. "IIT Jodhpur, in partnership with the Centre for Development of Telematics (CDOT), is developing AI frameworks for automated network management for detection and diagnostics. "This includes establishing a real-time 5G and beyond testbed compliant with ORAN standards. Further, DOT has signed a letter of intent with ITU to explore AI-driven digital twin technologies for infrastructure planning," Bidwai said. He said DoT is positioning India at the forefront of AI native networking, fostering innovation and contributing to the evaluation of intelligent autonomous telecommunication networks.
Yahoo
11-06-2025
- Business
- Yahoo
Satellite NTN Market worth $2.79 billion by 2030 - Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., June 11, 2025 /PRNewswire/ -- The satellite NTN market is projected to grow from USD 0.56 billion in 2025 to USD 2.79 billion by 2030 at a CAGR of 38.0% according to a new report by MarketsandMarkets™. The satellite NTN (non-terrestrial network) market is growing rapidly due to its integration with 5G technology. This means people can get strong, more reliable connections in remote areas or even when traveling. The older satellites were away from the Earth and often delayed. However, the new Leo (Low Earth Orbit) satellites are very close and can handle video calls and online games. Download PDF Brochure: Browse in-depth TOC on "Satellite NTN Market" 177 – Tables71 – Figures235 – Pages Satellite NTN Market Report Scope: Report Coverage Details Market Revenue in 2025 $ 0.56 billion Estimated Value by 2030 $ 2.79 billion Growth Rate Poised to grow at a CAGR of 38.0% Market Size Available for 2020–2030 Forecast Period 2025–2030 Forecast Units Value (USD Million/Billion) Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends Segments Covered By Orbit, Frequency, End Use Sector, Technology, Hardware, Application, and Region Geographies Covered North America, Europe, Asia Pacific, and Rest of World Key Market Challenge Complex integration of NTNs and terrestrial networks Key Market Opportunities Development of multi-orbit hybrid network architectures for enhanced global connectivity Key Market Drivers Standardization of 3GPP to drive investments in direct-to-device and IoT satellite connectivity Improvements in satellite equipment, like lighter antennas that can point more accurately, make satellite networks more flexible and reliable. Additionally, reusable rockets have made a large number of satellite launches reasonable. These satellite networks are becoming critical in areas like driverless cars, smart farming, and secure military communication. All these factors point toward the progress the satellite NTN market has made in the past few years. As governments create new rules to manage satellite signals, the satellite NTN industry is expected to expand beyond traditional uses. By application, the mMTc segment is projected to be the fastest-growing segment in the satellite NTN market during the forecast period The mMTC (Massive Machine-Type Communications) segment is projected to be the fastest-growing segment in the satellite NTN market during the forecast period. This growth can be attributed to the rampant use of IoT devices and the increasing demand for ubiquitous, low-power, wide-area connectivity. Additionally, the need for environmental monitoring and precision agriculture, smart logistics, and infrastructure management demanding continuous data transmission in remote areas where terrestrial networks can't reach is also driving the mMTC applications of satellite NTNs. Satellite NTN enables global reach with minimal latency and high scalability, ideally enabling millions of connected devices and sensors. LEO constellations and advancements in small, low-power satellite terminals accelerate the adoption of mMTC systems even more. The maritime, oil & gas, and transportation sectors rely on robust, real-time data from dispersed assets, making satellite NTN the foundation for robust global IoT ecosystems. By frequency, the L-band segment is projected to lead the satellite NTN market during the projected period. The L-band segment is projected to lead the satellite NTN market during the projected period due to the ideal combination of coverage, penetration, and reliability in satellites operating on L-band frequencies, which offer improved signal propagation through barriers like buildings and vegetation compared to higher bands and are suited for mobile and remote applications like maritime, aviation, and emergency communications. The L-band system also requires a simple and small antenna design, which reduces terminal expenses and enables universal distribution in IoT and MMTC applications. The signal frequently connects to the tape's immune environment for declining weather conditions. Regulatory support and investment in the existing infrastructure of L-band frequencies also translate into rapid distribution and inter-revolution. Inquiry Before Buying: North America is projected to lead the satellite NTN market during the forecast period During the forecast period, North America is projected to dominate the satellite NTN industry, with its robust technology ecosystem, government support, and large industry players. The US is particularly driving growth, with massive LEO satellite launches by SpaceX and Amazon's Project Kuiper, supported by friendly FCC regulations that facilitate spectrum allocation and licensing. Additionally, substantial investments from the private and public sectors fuel innovation in satellite technology, basic infrastructure, and 5G integration. Also, North America's advanced telecommunication networks and an early 5G adoption enable seamless terrestrial satellite connection, which extends cases of NTN use in commercial, defense, and emergency areas. This combination of regulator bank, state-of-the-art innovation, and market demand ranks North America as a global satellite NTN market leader. Airbus (Netherlands), Thales Alenia Space (France), Kongsberg (Norway), Analog Devices, Inc. (US), and NEC Corporation (Japan) are the major key players in the satellite NTN companies. These companies have strong distribution networks across regions like North America, Europe, Asia Pacific, and the Rest of the World. Get 10% Free Customization on this Report: Browse Adjacent Market: Aerospace and Defence Market Research Reports &Consulting Related Reports: Small Satellite Market by Mass (Small, Mini, Micro, Nano, Cube), Subsystem (Satellite bus, Payloads, Solar Panels, Satellite Antennas), Orbit (LEO, MEO, GEO, Other Orbits), Application, End Use, Frequency and Region - Global Forecast to 2029 Satellites Market by Satellite Mass (Small, Medium, Large), Application (Communication, Earth Observation & Remote Sensing), Orbit (LEO, MEO, GEO), End User, Sub-systems, Frequency and Region - Global Forecast to 2030 About MarketsandMarkets™ MarketsandMarkets™ has been recognized as one of America's Best Management Consulting Firms by Forbes, as per their recent report. MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe. Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem. The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts. To find out more, visit or follow us on Twitter, LinkedIn and Facebook. Contact: Mr. Rohan SalgarkarMarketsandMarkets™ INC. 1615 South Congress 103, Delray Beach, FL 33445USA: +1-888-600-6441Email: sales@ Our Web Site: Insight: Source: Logo: View original content to download multimedia: SOURCE MarketsandMarkets Erreur lors de la récupération des données Connectez-vous pour accéder à votre portefeuille Erreur lors de la récupération des données Erreur lors de la récupération des données Erreur lors de la récupération des données Erreur lors de la récupération des données
