Project description
Building a framework for the future of wireless networks
Demand for wireless services is increasing rapidly, and even more so with future 5G services in sight. To maintain Europe's competitive edge, researchers are working on technologies that go far beyond the next generation of wireless and mobile communications. The EU-funded RECOMBINE project will integrate scientific and business model innovations for building a framework to fulfil the economic potential of future wireless networks. The aim is to provide efficient and flexible services such as enhanced mobile broadband access, ultra-reliable low-latency communications and massive machine-type communications. The project will pursue innovations for advancing in the areas of millimeter-wave technology, licensed spectrum access, antenna design, channel propagation and modelling, and network prediction and quality of experience supported by artificial intelligence.
Objective
Future wireless networks (FWNs) will need to efficiently and flexibly provide diversified services such as enhanced mobile broadband access, ultra-reliable low-latency communications (URLLC), and massive machine-type communications . RECOMBINE joins the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to build the framework for the design oif FWNs beyond 5G that are able to support multiple operational standards for exploitation of intrinsic network heterogeneity; capable of processing information generated from a huge volume of heterogeneous sources and with sufficient intrinsic resilience to counter potential security threats. RECOMBINE will pursue innovations for advancing in the areas of mm-wave technology, licensed spectrum access, antenna design, channel propagation and modeling, and network prediction and quality of experience supported by artifical intelligence. In addition, RECOMBINE will integrate scientific and business model innovations for building a framework to fulfill the economic potential of FWNs.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Coordinator
8000 Aarhus C
Denmark