The widely-recognized essential features of the emerging 5G network compared with 4G networks include: 1000 times larger system capacity, 1/1000 power consumption, 10 Gbps peak rate and 1 ms end-to-end delay, while the innovation in transmission technologies is the basis in achieving this goal. The research carried out in this project can be divided into three areas: 1) New transmission architecture and protocol design for 5G networks 2) Green-transmission enabled 5G network technologies, 3) Advanced spectrum-sharing and smart transmission strategies in 5G networks. The proposed architectures, protocols, algorithms, techniques, and schemes are validated and evaluated through simulation platform and demonstration systems. Through this project, we expect to not only build theoretical foundations for 5G networks, but also to provide high-quality training opportunities for graduate students and engineers both in Finnish and Chinese Universities/Research Institutes.

Team

Due the rapid increase in mobile and machine type data traffic the densities of networks are growing fast and deployment of local Ultra Dense Networks (UDNs) is seen as a viable solution in 5G framework. In this project we will consider the fundamental 5G challenges including 1) development of connectivity and control structures for high carrier frequency systems, 2) design of new low-latency, lowenergy 5G radio interface, 3) design of novel cooperative communication, beamforming and massive MIMO principles, 4) development of resource allocation principles for layered UDN deployment and 5) design principles enabling energy efficient UDN. We study these topics especially from indoor connectivity and machine type communication perspectives.

Team

Prof. Jyri Hämäläinen, Aalto University, Finland (Finnish team leader), Prof. Mikko Valkama, Tampere Univ. Technology (TUT), Finland, Prof. Markku Juntti, University of Oulu, Prof. Xiaofeng Tao, Beijing University of Posts and Telecommunications (Chinese team leader) , Prof. Lingyang Song, Peking University, Prof. Sihai Zhang, University of Science and Technology of China