Current wireless systems, from Wi-Fi to 5G, have been designed by following principles that have not changed over the last 70 years. This approach has given us dependable, universal wireless connectivity solutions that can deliver any type of digital information. As computing systems substitute universal digital processors with specialised circuits for artificial intelligence (AI), and as wireless connectivity becomes an integral part of the sensing-compute-actuation fabric powered by AI, it is essential to rethink the fundamental principles underpinning the design of wireless systems. The global telecom market is estimated at around USD 850 billion, with the UK telecom industry generating around GBP 30 billion in 2020. The countries that will lead in the creation of the new technological principles and capabilities underpinning 6G will have a significant international market edge, making fundamental research on the subject a critical national policy issue. In this context, neuromorphic sensing and computing are emerging as alternative, brain-inspired, paradigms for efficient data collection and semantic signal processing that build on event-driven measurements, in-memory computing, spike-based information processing, reduced precision and increased stochasticity, and adaptability via learning in hardware. The neuromorphic sensing and computing market was valued at USD 22.5 million in 2020, and it is projected to be worth USD 333.6 million by 2026. Current commercial use cases of neuromorphic technologies range from drone monitoring to the development of fast and accurate COVID-19 antibody testing. NeuroComm views the emergence of neuromorphic technologies as a unique opportunity for the development of efficient, integrated wireless connectivity and semantic processing -- referred to broadly as wireless cognition. Specifically, NeuroComm aims systematically addressing the integration of neuromorphic principles within an end-to-end system encompassing sensing, computing, and wireless communications. The informational currency of neuromorphic computing is not the bit, but the timing of spikes. Neuroscientists have long studied the efficiency and effectiveness of spike-based communications in biological neurons. In the context of wireless cognition, spike-based processing and communication raise novel fundamental questions regarding optimal joint signaling and computing strategies. NeuroComm will take the approach of starting from first, information-theoretic, principles, addressing the problem of what to implement before investigating how to best deploy neuromorphic based wireless cognition. To this end, the project aims at developing an information-theoretic framework for the analysis of wireless cognition systems with neuromorphic transceivers. The efficiency of neuromorphic computing hinges on the co-design of hardware and software. NeuroComm posits that a close integration of neuromorphic computing and communications at the design stage will be needed in order to fully leverage the benefits of brain-inspired wireless cognition. NeuroComm is a collaboration between King's College London (KCL) as lead institution and Princeton University (PU) as academic partner, along with NVIDA, Intel Labs, AccelerComm, and IBM Zurich as industrial partners. The research will build on the PIs' expertise in information theory, machine learning, communications, and neuromorphic computing to explore theoretical foundations, algorithms, and hardware implementation.

Over 1.3 million people die each year because of road traffic crashes, according to the estimate of World Health Organisation. Automation could ultimately provide safer roads and less fatalities, but in order for driverless technology to become mainstream, much needs to change; more efficient communication and networking are essential for fully autonomous driving. Connected autonomous vehicles building upon advanced intelligent transportation systems are receiving increasing research attention due to their potentials in delivering tremendously improved safety, unprecedented travel experiences, and significantly enhanced traffic efficiency. Central to this vision is a ubiquitous and highly scalable vehicle-to-everything (V2X) communication network in which every vehicle can "talk and listen" to other vehicles, people, and machines, freely and seamlessly. Such a V2X communication network is pivotal for the enabling of a rich variety of vehicular use cases. For instance, remote driving, coordinated driving & route planning, in-car video conferencing/gaming, high-resolution map downloading. By enabling travel in close cooperative formations with one driver controlling multiple vehicles, called 'platooning', the need for drivers would reduce thereby addressing the truck driver shortages in the UK. The harsh vehicular channels, the varying nature of vehicular networks, and the increasingly stringent quality-of-service requirements that arise under the evolution of the 5G-and-beyond mobile networks, however, call for enhanced signal design and processing algorithms to accommodate a vast range of use cases and communication devices. This project will develop such technology to lay the foundations for the next generation V2X communication systems to deliver safer, faster, greener, and smarter data services. Innovations will be made by analysing and developing more efficient and reliable vehicular transmission signals as well as their corresponding receiver designs to strike a flexible trade-off in terms of transmission efficiency, communication time lags, reception complexity and robustness. Major advances are expected by our application of the most up-to-date algorithms to improve the intrinsic structural properties of the transmission signals and to enable the full exploitation of the channel variations at the receiver. By carrying out a practicality-oriented research method, we will analyse and evaluate the combined effects of various hardware imperfections and practical computing/storage constraints in the industry preferred vehicular channel models. In view of the ever-growing densely connected vehicles, we will also determine effective solutions for massive, reliable, and rapid vehicular communications in high mobility channels. Specifically, by working with AccerlerComm and VIAVI Solution (two 5G communications companies), and Conigital (an autonomous vehicle developer), we aim for systematic design guidelines, feasible signal processing algorithms, and concrete implementation approaches for significant breakthroughs that can influence both academia and industry. Moreover, by collaborating with the University of Bergen in Norway, our project could for instance benefit the wider research community with enhanced mathematical problem solving in areas which complement our work. Overall, the proposed project seeks ground-breaking research outcomes by addressing several fundamental problems in vehicle-centric transmission signal design and receiver processing. These will enable the improvements required for advanced applications to achieve the connected autonomous vehicle aspirations for future transportation systems.

The 5G-and-Beyond cellular networks promise UAVs with ultra-reliable low-latency control, ubiquitous coverage, and seamless swarm connectivity under complex and highly flexible multi-UAV behaviours in three-dimension (3D), which will unlock the full potential of UAVs. This so-called cellular-connected UAVs (C-UAVs) system creates a radically different and rapidly evolving networking and control environment compared to conventional terrestrial networks: 1) The UAV-ground BS/user channels enjoy fewer channel variations due to their dominant line-of-sight (LOS) characteristics, which imposes severe air-ground interference to the coexisting BSs/users in the uplink/downlink. 2) Operating in existing cellular networks designed mainly for dominate downlink traffic (e.g., video), the UAVs with high data rate requirement in uplink payload uploading, and ultra-reliable low-latency communication (URLLC) requirement in downlink command and control communication can hardly be satisfied. 3) Maintaining seamless connectivity for mission-centric UAV swarms with 3D high mobility is essential for UAV cooperation but extremely challenging. 4) Controlling a swarm of UAVs to accomplish complex tasks with limited human supervision under the connectivity constraints is of capital importance but challenging. The above challenges can hardly be solved via conventional model-driven approaches, which are limited to performance evaluation or optimisation at one time instant in an offline or semi-offline manner, relying on given ideal probabilistic channel models without time correlation. Meanwhile, the future cellular networks in 5G-and-Beyond moves towards an open, programmable, and virtualised architecture with unprecedented data availability. Both facts mandate a fundamental change in the way we model, design, control, and optimise the C-UAVs system, from reactive/incident driven decoupled networking and control operation to proactive/ data-driven joint network and control design. This project has the ambitious vision to develop artificial intelligence (AI)-powered C-UAVs system with full network automation and conditional control automation, that allow for joint design and optimization of the network operation and the UAVs control in real-time with minimum human supervision and the target of mission completion under the long-term quality of service (QoS) guarantees. The project will engage with the end-users to exploit the C-UAVs applications in surveillance and emergency services in urban areas. Our results on network automation and control automation will directly benefit the telecom manufacturers (e.g., Ericsson AB, Toshiba Europe, AccelerComm), and broader UAV industries (e.g., Airborne Robotics, Thales, Northrop Grumman) internationally with foreseeable industrial impact. The NGMN and CommNet will facilitate the dissemination of the research outcomes nationally and internationally. The development, implementation, and testing of our proposed solutions serve as a platform towards the commercialisation of our research outcomes, putting the UK at the forefront of the "connected aerial vehicles" revolution.

Future wireless systems are expected to constitute an ultra dense wireless network, which supports billions of smart wireless devices (or machines) to provide a wide varieties of services for smart homes, smart cities, smart transportation systems, smart healthcare, and smart environments, etc., in addition to supporting conventional human-initiated mobile communications. Therefore, the communication technologies employed in future wireless communication systems are expected to be capable of coping with highly diverse service requirements and communication environments, both of which also have time-varying nature. However, the legacy wireless systems, such as LTE/LTE-A, have been primarily designed for human-initiated mobile communications, which rely on strict synchronisation guaranteed by a substantial signalling overhead. Explicitly, due to this overhead legacy systems are inefficient for device-centric mMTC. Furthermore, they are unable to support the massive connectivity required by the future mMTC networks, where devices heavily contend for the limited resources available for communications. This project is proposed at the time, when myriads of smart wireless devices of different types are being deployed and connected via the Internet, which is expected to be the next revolution in the mobile ecosystem. To fulfil these objectives, a new design paradigm is required for supporting the massive number of wireless devices having diverse service requirements and unique traffic characteristics. In this project, we propose to meet the challenges of future mMTC by investigating and designing novel non-orthogonal multiple access, flexible duplexing, and adaptive coherent-noncoherent transmission schemes, as well as new waveforms that are tailored for the future mMTC systems. We aim for alleviating the strict synchronism demanded by the legacy wireless systems, and for significantly improving their capabilities, network performance as well as the lifetime of autonomous mMTC nodes. The novelties of this project are summarized as follows. 1. New non-orthogonal sparse code multiple access (SCMA) schemes will be developed for mMTC systems, where the number of devices exceeds the number of available resource-slots, resulting in an over-loaded or a generalized rank-deficient condition. 2. Novel multicarrier waveforms will be designed for future mMTC in order to maximize spectrum efficiency by minimizing the overhead for achieving synchronisation as well as for reducing the out-of-band radiation. 3. By jointly exploiting the resources available in the time, frequency and spatial domains, we will design noncoherent, partially-coherent and adaptive coherent-noncoherent transmission schemes, in order to strike the best possible trade-off among overhead reduction, energy and spectral efficiency, latency and implementation complexity in practical mMTC scenarios. 4. We will investigate the full potential of the multicarrier-division duplex (MDD) scheme and, especially, its applications to future mMTC by synergistically combining it with novel multicarrier waveforms, non-orthogonal SCMA techniques and other high-efficiency transmission schemes developed within the project. 5. Furthermore, the key techniques developed in the project will be prototyped and integrated into the 5G Innovation Centre (5GIC) test bed facilities at the University of Surrey. This will allow us to demonstrate the viability of our new design approaches, as well as to accelerate knowledge transfer and commercialisation. The proposed research will be conducted jointly by the 5GIC at the University of Surrey and Southampton Wireless (SW) at the University of Southampton, led by Xiao, Tafazolli, Yang & Hanzo. The research and commercial exploitation of the project will be further consolidated by our partnership with experienced academic and industrial partners.

The properties of light are already exploited in communications, the Internet of Things, big data, manufacturing, biomedical applications, sensing and imaging, and are behind many of the inventions that we take for granted today. Nevertheless, there is still a plethora of emerging applications with the potential to effect positive transformations to our future societies and economies. UK researchers develop cutting-edge technologies that will make these applications a reality. The characteristics of these technologies already surpass the operating wavelength range and electronic bandwidth of our existing measurement equipment (as well as other facilities in the UK), which currently forms a stumbling block to demonstrating capability, and eventually generating impact. Several important developments, relating for example, to integrated photonic technologies capable of operating at extremely high speeds or the invention of new types of optical fibres and amplifiers that are capable of breaking the traditional constraints of conventional silica glass technology, necessitate the use of ever more sophisticated equipment to evaluate the full extent of their capabilities. This project aims at establishing an open experimental facility for the UK research community that will enable its users to experiment over a wide range of wavelengths, and generate, detect and analyse signals at unprecedented speeds. The new facility will enable the characterisation of signals in time and will offer a detailed analysis of their frequency components. Coherent detection will be possible, thereby offering information on both the amplitude and phase characteristics of the signals. This unique capability will enable its users to devise and execute a range of novel experiments. For example, it will be possible to experiment using signals, such as those that will be adopted in the communication networks of the future. It will make it possible to reveal the characteristics of novel devices and components to an extent that has previously not been possible. It will also be possible to analyse the response of experimental systems in unprecedented detail. The facility will benefit from being situated at the University of Southampton, which has established strong experimental capabilities in areas, such as photonics, communications and the life sciences. Research at the extended cleanroom complex of Southampton's Zepler Institute, a unique facility in UK academia, will benefit from the availability of this facility, which will enable fabrication and advanced applications research to be intimately connected. Furthermore, this new facility will be attached to EPSRC's National Dark Fibre Facility - this is the UK National Research Facility for fibre network research, offering access and control over the optical layer of a dedicated communications network for research-only purposes. The two together will create an experimental environment for communications research that is unique internationally.