Secured and Intelligent Massive Machine-to-Machine Communication for 6G
Lead Research Organisation:
University of Essex
Department Name: Computer Sci and Electronic Engineering
Abstract
To satisfy the expected plethora of demanding services, 6G is envisioned as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and Ultra-reliable and low latency services in 5G wireless networks to a more robust and intelligent level. This move will introduce significant new multidisciplinary research challenges emerging throughout the wireless communication protocol stacks, including the way the mobile network is modelled and deployed. The structure of 6G networks will be highly heterogeneous, densely deployed, and dynamic. Combined with the tight quality of services, such complex architecture will result in the untenability of legacy network operation routines. In response, artificial intelligence (AI), especially machine learning (ML), Semantic Communication and Digital Twin (DT) are emerging as solutions to realize the fully intelligent network orchestration and management. By learning from uncertain and dynamic environments, AI-enabled channel estimation and spectrum management will open up opportunities for bringing the excellent performance of Ultra-broadband techniques into full play. Additionally, challenges brought by Ultra-massive access concerning energy and security can be mitigated by applying AI-based approaches.
The overall research objective of the SCION project is to develop and design the network systems for seamless wireless access for Secure and Intelligent Massive Machine-to-Machine Communications for 6G. In addition to technology development, to meet the urgent needs for the future working force of the coming 6G era, this collaborative project will create a training network for Doctoral Candidates who will contribute to the design and implementation of future 6G networks.
The overall research objective of the SCION project is to develop and design the network systems for seamless wireless access for Secure and Intelligent Massive Machine-to-Machine Communications for 6G. In addition to technology development, to meet the urgent needs for the future working force of the coming 6G era, this collaborative project will create a training network for Doctoral Candidates who will contribute to the design and implementation of future 6G networks.
Publications
| Description | In one of the research studies under this award, a recent technology, namely Holographic-MIMO (HMIMO,) for efficient resource allocation have been investigated to research and develop power efficient simultaneous wireless power and information transfer technologies and achieve sustainable communication in the M2M communication networks. With this investigation, a novel approach has been proposed for resource allocation with holographic beamforming and the fundamental limits of HMIMO for a particular architecture, namely Dynamic Metasurface Antennas, are highlighted in reference to the traditional systems for high-density networks. The findings provide insight for the implementation of power-efficient, low complex, low cost and higher capacity communication networks for the next-generation wireless networks. In another study under this award, a key research focuses on hybrid Non-Orthogonal Multiple Access (NOMA) to enhance wireless communication by enabling bit-based and semantic-based users to share resources efficiently. Traditional networks rely solely on bit-based transmissions, which face challenges in meeting the demands for high-speed, efficient communication. Semantic communication offers a novel approach by transmitting the meaning of information rather than raw data. By integrating both techniques, this research paves the way for more adaptive, intelligent, and high-capacity wireless networks for future communication systems. |
| Exploitation Route | In one study, the outcomes of this research can be used for future research and development in both academic and industrial sectors, enabling the implementation of next-generation wireless infrastructure, enhancing Internet of Things (IoT) connectivity, improving industrial networks and sustainability, and achieving green communications. In the other study, the outcomes of this research can be leveraged in both academic and industrial sectors to advance next-generation wireless communication. The findings for hybrid NOMA heterogeneous semantic and bit users can be leveraged to enhance network efficiency, optimize resource allocation, and support AI-driven communication systems. |
| Sectors | Digital/Communication/Information Technologies (including Software) Electronics |
| URL | https://arxiv.org/abs/2411.05659 |
| Description | Platform Driving The Ultimate Connectivity |
| Amount | £2,030,861 (GBP) |
| Funding ID | EP/X04047X/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 04/2023 |
| End | 04/2026 |
| Description | TITAN Extension |
| Amount | £10,612,161 (GBP) |
| Funding ID | EP/Y037243/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 01/2024 |
| End | 03/2025 |
| Description | Berna Ozbek/Professor |
| Organisation | Izmir Institute of Technology |
| Country | Turkey |
| Sector | Academic/University |
| PI Contribution | We worked with professor Ozbek, who is the SCION project coordinator, on a number of managerial deliverables. We led the deliverable D1.2: Appointment of Ethics Advisor; |
| Collaborator Contribution | The PC has prepared and completed the below deliverables: D2.3: Document establishing the supervisory board and defining the way of working; D2.4: Document describing how the individual Career Development Plans have been established (listing also the researchers for whom such plans have been put in place); D2.6: Plan for the dissemination and exploitation of results, including communication activities; D9.1: Project website for the project is created. We have made contributions to the above deliverables. |
| Impact | The project website created by the coordinator has provided public engagement for the project. |
| Start Year | 2022 |
| Description | HUSEYIN S KUYUMCUOGLU/Dr |
| Organisation | Kadir Has University |
| Country | Turkey |
| Sector | Academic/University |
| PI Contribution | We worked with the SCION PC on appointing an independent ethics advisor for the project. |
| Collaborator Contribution | Dr KUYUMCUOGLU gave a seminar on Ethics and gender issues in research to the SCION consortium. |
| Impact | none yet! |
| Start Year | 2023 |
| Description | Ming Xiao/Professor |
| Organisation | Royal Institute of Technology |
| Country | Sweden |
| Sector | Academic/University |
| PI Contribution | We worked with Professor XIAO to deliver two lectures and seminars. We led: Course 1: Writing of scientific papers and presentation skills; Seminar 1: Ethics and gender issues (presentation was done by the appointed SCION Ethics Advisor); |
| Collaborator Contribution | Professor XIAO led: Course 2: The theory and method of science; Seminar 2: 6G PHY layer aspects; |
| Impact | Training for Doctoral candidates. |
| Start Year | 2023 |
| Description | Project website and social media activity |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | A project website for the SCION project is created. A LinkeIn Account and a YouTube channel is created as well. |
| Year(s) Of Engagement Activity | 2023,2024 |
| URL | https://scion.iyte.edu.tr/ |