Research

RECOMBINE is divided into five technical Work Packages (WPs), as shown below, that correspond to the outlined project objectives. WP1 to WP4 aim to fulfil the scientific objectives, as shown in WP5 is conceived as a cohesive package between the previous four scientific WPs, providing common goals and understanding of the application scenarios for the whole project. The activities from different WPs are linked to the four main scenarios, i.e. accurate localisation, video transmission and distribution, high density of users (UAVs and stadium case), and massive number of devices (IoT case).

WP1: mm-Wave, Licensed Shared Access and Business Models

The objective of this WP is to improve spectrum usage across a range of frequency bands, with particular emphasis on below 6GHz bands and the mm-Wave bands. Two very different approaches: a) Blockchain, and b) Deep learning for DSA (Dynamic Spectrum Access)/LSA (Licensed Shared Access) will be adopted to improve the utilisation of spectrum in these bands. New business models will be developed for the mobile communications industry.

WP2: AI for Network Prediction, Enhanced QoE & MANO

The objective of this WP is to design novel algorithms for network prediction and enhanced QoE using machine learning. NFV and Multi-access Edge Computing (MEC) are vital technologies for FWNs. AI will be used in MANO for autonomous closed-loop optimisation of end-to-end services with a fully programmable underlying infrastructure.

WP3: Antenna Design, Channel Propagation and Modelling

The objective of this WP is to design and develop green antenna and antenna arrays using AI and metamaterials. The main aim is to enhance communications between antennas without wastefully spreading radiated power into space while minimising interferences. It will also develop accurate path loss and 3-dimensional (3D) channel models for wireless communication between UAVs and ground stations.

WP4: Prototypes, Implementation and Proof of Concept

This WP will develop four techniques, which have different applications. The first is based on SLAM using mm-Wave frequencies where the basic application is localisation. The second concerns video distribution across a stadium. The third is about UAVs used for anti-spoofing and anti-jamming, and the four is about Internet of Things (IoT) for ultra-reliable and low-latency communications (URLLC).

WP5: Reference Scenarios and System Requirements

This project has to deal with a diversity of technologies that need to be properly reflected by the scenarios and end-user requirements. WP5 will define the most relevant scenarios that will also be used as test cases in the evaluation and PoC phase. This WP is conceived as a cohesive element between all the research activities to be carried out.