
Deutsche Telekom
Deutsche Telekom
3 Projects, page 1 of 1
assignment_turned_in Project2019 - 2024Partners:University of Oxford, IQE SILICON, King Abdullah University of Sc and Tech, BT Group (United Kingdom), University of Bristol +67 partnersUniversity of Oxford,IQE SILICON,King Abdullah University of Sc and Tech,BT Group (United Kingdom),University of Bristol,IQE (United Kingdom),pureLiFi Ltd,Uni of Science & Technology of China,Nokia Bell Labs,Compound Semiconductor Technologies (United Kingdom),UCL,British Telecommunications plc,Zinwave,University of Strathclyde,Compound Semiconductor Centre,Jisc,University of Science and Technology of China,King Abdullah University of Sc and Tech,Babcock International Group Plc,Compound Semiconductor Centre (United Kingdom),McWane Technology (United Kingdom),BBC,Cisco Systems (China),Cisco Systems (United States),British Broadcasting Corporation - BBC,BT Group (United Kingdom),Orange France Telecom,Ushio (Japan),pureLiFi Ltd,Tsinghua University,BBC,CST,University of Surrey,Jisc,University of Southampton,IQE PLC,Uni of Science & Technology of China,Babcock International Group (United Kingdom),Hewlett-Packard Company Inc,CST,University of Leeds,Deutsche Telekom,Nokia Bell Labs,MICROSOFT RESEARCH LIMITED,Hewlett-Packard (United States),Microsoft Research (United Kingdom),Deutsche Telekom (Germany),University of Leeds,Orange France Telecom,Deutsche Telekom,Airbus,Orange Telecom (International),Airbus (France),University of Surrey,Zinwave,Hewlett-Packard Company Inc,King Abdullah University of Science and Technology,British Broadcasting Corporation (United Kingdom),ADVA Optical Networking (Germany),Cisco Systems (China),BC,ADVA AG Optical Networking,Ushio,MICROSOFT RESEARCH LIMITED,JISC,Tsinghua University,University of Southampton,McMaster University,University of Bristol,University of Strathclyde,Babcock International Group Plc (UK),IQE SILICONFunder: UK Research and Innovation Project Code: EP/S016570/1Funder Contribution: 6,604,390 GBPGiven the unprecedented demand for mobile capacity beyond that available from the RF spectrum, it is natural to consider the infrared and visible light spectrum for future terrestrial wireless systems. Wireless systems using these parts of the electromagnetic spectrum could be classified as nmWave wireless communications system in relation to mmWave radio systems and both are being standardised in current 5G systems. TOWS, therefore, will provide a technically logical pathway to ensure that wireless systems are future-proof and that they can deliver the capacities that future data intensive services such as high definition (HD) video streaming, augmented reality, virtual reality and mixed reality will demand. Light based wireless communication systems will not be in competition with RF communications, but instead these systems follow a trend that has been witnessed in cellular communications over the last 30 years. Light based wireless communications simply adds new capacity - the available spectrum is 2600 times the RF spectrum. 6G and beyond promise increased wireless capacity to accommodate this growth in traffic in an increasingly congested spectrum, however action is required now to ensure UK leadership of the fast moving 6G field. Optical wireless (OW) opens new spectral bands with a bandwidth exceeding 540 THz using simple sources and detectors and can be simpler than cellular and WiFi with a significantly larger spectrum. It is the best choice of spectrum beyond millimetre waves, where unlike the THz spectrum (the other possible choice), OW avoids complex sources and detectors and has good indoor channel conditions. Optical signals, when used indoors, are confined to the environment in which they originate, which offers added security at the physical layer and the ability to re-use wavelengths in adjacent rooms, thus radically increasing capacity. Our vision is to develop and experimentally demonstrate multiuser Terabit/s optical wireless systems that offer capacities at least two orders of magnitude higher than the current planned 5G optical and radio wireless systems, with a roadmap to wireless systems that can offer up to four orders of magnitude higher capacity. There are four features of the proposed system which make possible such unprecedented capacities to enable this disruptive advance. Firstly, unlike visible light communications (VLC), we will exploit the infrared spectrum, this providing a solution to the light dimming problem associated with VLC, eliminating uplink VLC glare and thus supporting bidirectional communications. Secondly, to make possible much greater transmission capacities and multi-user, multi-cell operation, we will introduce a new type of LED-like steerable laser diode array, which does not suffer from the speckle impairments of conventional laser diodes while ensuring ultrahigh speed performance. Thirdly, with the added capacity, we will develop native OW multi-user systems to share the resources, these being adaptively directional to allow full coverage with reduced user and inter-cell interference and finally incorporate RF systems to allow seamless transition and facilitate overall network control, in essence to introduce software defined radio to optical wireless. This means that OW multi-user systems can readily be designed to allow very high aggregate capacities as beams can be controlled in a compact manner. We will develop advanced inter-cell coding and handover for our optical multi-user systems, this also allowing seamless handover with radio systems when required such as for resilience. We believe that this work, though challenging, is feasible as it will leverage existing skills and research within the consortium, which includes excellence in OW link design, advanced coding and modulation, optimised algorithms for front-haul and back-haul networking, expertise in surface emitting laser design and single photon avalanche detectors for ultra-sensitive detection.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2018 - 2024Partners:University of Southampton, Microsoft Research (United Kingdom), Deutsche Telekom, Deutsche Telekom (Germany), University of Leeds +60 partnersUniversity of Southampton,Microsoft Research (United Kingdom),Deutsche Telekom,Deutsche Telekom (Germany),University of Leeds,University of Oxford,Petras Internet of Things Hub,KDDI R&D Laboratories,Alcatel Submarine Networks,BT Group (United Kingdom),National Inst of Info & Comm Tech (NICT),University of Bristol,Oclaro Technology UK,Government of the United Kingdom,Lawrence Livermore National Laboratory,National Institute of Information and Communications Technology,Polatis (United Kingdom),Oclaro Technology UK,Los Alamos National Laboratory,Xtera Communications Limited,Mitsubishi Electric,LBNL,ARDEN,Corning (United States),Government office for science,HUBER+SUHNER Polatis Ltd,BT Group (United Kingdom),Huawei Technologies (China),KDDI R&D Laboratories (Japan),University of Southampton,LANL,Sumitomo Electric Industries, Ltd.,Verizon (United States),Petras Internet of Things Hub,Verizon Communications,Corning Incorporated,UCL,British Telecommunications plc,Arden Photonics,University of Bristol,Xtera Communications Limited,Huawei Technologies (China),Xtera Communications Limited,Huawei Technologies (China),ADVA AG Optical Networking,Ericsson Telecommunication SpA,University of Leeds,Deutsche Telekom,MICROSOFT RESEARCH LIMITED,LBNL,National Inst of Info & Comm Tech (NICT),MICROSOFT RESEARCH LIMITED,Naudit NPCN SL,Dithen Ltd,Naudit NPCN SL,Government Office for Science,Dithen Ltd,ARDEN,Alcatel Submarine Networks,Eblana Photonics (Ireland),Mitsubishi Electric (United States),Ericsson Telecommunication SpA,Sumitomo Electric Industries (Japan),ADVA Optical Networking (Germany),Oclaro (United Kingdom)Funder: UK Research and Innovation Project Code: EP/R035342/1Funder Contribution: 6,105,920 GBPOptical networks underpin the global digital communications infrastructure, and their development has simultaneously stimulated the growth in demand for data, and responded to this demand by unlocking the capacity of fibre-optic channels. The work within the UNLOC programme grant proved successful in understanding the fundamental limits in point-to-point nonlinear fibre channel capacity. However, the next-generation digital infrastructure needs more than raw capacity - it requires channel and flexible resource and capacity provision in combination with low latency, simplified and modular network architectures with maximum data throughput, and network resilience combined with overall network security. How to build such an intelligent and flexible network is a major problem of global importance. To cope with increasingly dynamic variations of delay-sensitive demands within the network and to enable the Internet of Skills, current optical networks overprovision capacity, resulting in both over- engineering and unutilised capacity. A key challenge is, therefore, to understand how to intelligently utilise the finite optical network resources to dynamically maximise performance, while also increasing robustness to future unknown requirements. The aim of TRANSNET is to address this challenge by creating an adaptive intelligent optical network that is able to dynamically provide capacity where and when it is needed - the backbone of the next-generation digital infrastructure. Our vision and ambition is to introduce intelligence into all levels of optical communication, cloud and data centre infrastructure and to develop optical transceivers that are optimally able to dynamically respond to varying application requirements of capacity, reach and delay. We envisage that machine learning (ML) will become ubiquitous in future optical networks, at all levels of design and operation, from digital coding, equalisation and impairment mitigation, through to monitoring, fault prediction and identification, and signal restoration, traffic pattern prediction and resource planning. TRANSNET will focus on the application of machine techniques to develop a new family of optical transceiver technologies, tailored to the needs of a new generation of self-x (x = configuring, monitoring, planning, learning, repairing and optimising) network architectures, capable of taking account of physical channel properties and high-level applications while optimising the use of resources. We will apply ML techniques to bring together the physical layer and the network; the nonlinearity of the fibres brings about a particularly complex challenge in the network context as it creates an interdependence between the signal quality of all transmitted wavelength channels. When optimising over tens of possible modulation formats, for hundreds of independent channels, over thousands of kilometres, a brute force optimisation becomes unfeasible. Particular challenges are the heterogeneity of large scale networks and the computational complexity of optimising network topology and resource allocation, as well as dynamical and data-driven management, monitoring and control of future networks, which requires a new way of thinking and tailored methodology. We propose to reduce the complexity of network design to allow self-learned network intelligence and adaptation through a combination of machine learning and probabilistic techniques. This will lead to the creation of computationally efficient approaches to deal with the complexity of the emerging nonlinear systems with memory and noise, for networks that operate dynamically on different time- and length-scales. This is a fundamentally new approach to optical network design and optimisation, requiring a cross-disciplinary approach to advance machine learning and heuristic algorithm design based on the understanding of nonlinear physics, signal processing and optical networking.
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For further information contact us at helpdesk@openaire.euassignment_turned_in Project2022 - 2025Partners:Airbus (France), Nokia Bell Labs, Compound Semiconductor Technologies (United Kingdom), UCL, University of Oxford +25 partnersAirbus (France),Nokia Bell Labs,Compound Semiconductor Technologies (United Kingdom),UCL,University of Oxford,University of Bristol,pureLiFi Ltd,Cisco Systems (United States),British Telecommunications plc,British Broadcasting Corporation - BBC,University of Strathclyde,Compound Semiconductor Centre (United Kingdom),University of Science and Technology of China,McWane Technology (United Kingdom),Ushio (Japan),Tsinghua University,King Abdullah University of Science and Technology,University of Surrey,IQE PLC,KCL,Microsoft Research (United Kingdom),Deutsche Telekom,Hewlett-Packard (United States),Orange Telecom (International),ADVA Optical Networking (Germany),BC,JISC,University of Southampton,McMaster University,Babcock International Group Plc (UK)Funder: UK Research and Innovation Project Code: EP/S016570/2Funder Contribution: 3,692,900 GBPGiven the unprecedented demand for mobile capacity beyond that available from the RF spectrum, it is natural to consider the infrared and visible light spectrum for future terrestrial wireless systems. Wireless systems using these parts of the electromagnetic spectrum could be classified as nmWave wireless communications system in relation to mmWave radio systems and both are being standardised in current 5G systems. TOWS, therefore, will provide a technically logical pathway to ensure that wireless systems are future-proof and that they can deliver the capacities that future data intensive services such as high definition (HD) video streaming, augmented reality, virtual reality and mixed reality will demand. Light based wireless communication systems will not be in competition with RF communications, but instead these systems follow a trend that has been witnessed in cellular communications over the last 30 years. Light based wireless communications simply adds new capacity - the available spectrum is 2600 times the RF spectrum. 6G and beyond promise increased wireless capacity to accommodate this growth in traffic in an increasingly congested spectrum, however action is required now to ensure UK leadership of the fast moving 6G field. Optical wireless (OW) opens new spectral bands with a bandwidth exceeding 540 THz using simple sources and detectors and can be simpler than cellular and WiFi with a significantly larger spectrum. It is the best choice of spectrum beyond millimetre waves, where unlike the THz spectrum (the other possible choice), OW avoids complex sources and detectors and has good indoor channel conditions. Optical signals, when used indoors, are confined to the environment in which they originate, which offers added security at the physical layer and the ability to re-use wavelengths in adjacent rooms, thus radically increasing capacity. Our vision is to develop and experimentally demonstrate multiuser Terabit/s optical wireless systems that offer capacities at least two orders of magnitude higher than the current planned 5G optical and radio wireless systems, with a roadmap to wireless systems that can offer up to four orders of magnitude higher capacity. There are four features of the proposed system which make possible such unprecedented capacities to enable this disruptive advance. Firstly, unlike visible light communications (VLC), we will exploit the infrared spectrum, this providing a solution to the light dimming problem associated with VLC, eliminating uplink VLC glare and thus supporting bidirectional communications. Secondly, to make possible much greater transmission capacities and multi-user, multi-cell operation, we will introduce a new type of LED-like steerable laser diode array, which does not suffer from the speckle impairments of conventional laser diodes while ensuring ultrahigh speed performance. Thirdly, with the added capacity, we will develop native OW multi-user systems to share the resources, these being adaptively directional to allow full coverage with reduced user and inter-cell interference and finally incorporate RF systems to allow seamless transition and facilitate overall network control, in essence to introduce software defined radio to optical wireless. This means that OW multi-user systems can readily be designed to allow very high aggregate capacities as beams can be controlled in a compact manner. We will develop advanced inter-cell coding and handover for our optical multi-user systems, this also allowing seamless handover with radio systems when required such as for resilience. We believe that this work, though challenging, is feasible as it will leverage existing skills and research within the consortium, which includes excellence in OW link design, advanced coding and modulation, optimised algorithms for front-haul and back-haul networking, expertise in surface emitting laser design and single photon avalanche detectors for ultra-sensitive detection.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::cac4ac1c7eca138072dfdc2c4b853a52&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::cac4ac1c7eca138072dfdc2c4b853a52&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu