Improving product performance and cost efficiency by optimal use of radio and network resources
VTT has competencies and solutions for smart radio and network resource management. With the help of our methods for sensing the use of radio spectrum and network resources, decision making, and learning it is possible to implement so called cognitive radio systems with improved performance.
Our wide knowledge on wireless communication standards and long experience on analysing international regulatory development and making contributions on spectrum management and cognitive communication to ITU-R will support product concept and technology selections.
Solutions for rapidly increasing spectrum needs
Exponentially increasing wireless traffic and the number of wireless devices is leading to congestion in the currently used frequency bands. In order to estimate future technology and business environment, VTT has developed analytical spectrum analysis models to model current spectrum use and predict future use.
Spectrum sharing will make new spectrum available on shared basis while still guaranteeing quality of service. Our Licensed Shared Access (LSA) technology allows mobile network operators to share spectrum with incumbent spectrum users.
VTT has wide and strong know-how on the LSA concept covering technical, trialling, business, and regulatory sides. We have mainly developed spectrum sharing techniques for terrestrial communication systems, but we have also optimised those techniques for satellite and hybrid (terrestrial-satellite) communication systems.
Towards more efficient and flexible radio systems
VTT has developed decision-theoretic framework for analysis and optimisation of adaptive transmission systems in fading channels which takes into account the statistical nature of quality of service parameters. It can be used for coverage and capacity optimisation, energy savings, interference reduction, and mobility load balancing.
Our learning based radio resource management techniques offer several key benefits: reduced signaling overhead over the network, improved energy efficiency, throughput, and robustness against the environmental dynamics. Our current solutions include such as power control, medium and opportunistic spectrum access, and improvement of energy efficiency in green femto-cell networks.
We have also applied cognitive techniques to improve energy and spectrum efficiency in OFDMA based femto-cell networks. The latest results include for example energy efficient scheduling algorithm for OFDMA, energy efficient pilot design in OFDMA, energy saving in a hierarchical network architecture, self-configuration and self-optimisation of femto-cells to achieve energy saving.
We have developed architectural and control methods for densified small networks inter-cell coordination and control, for example spectrum access, traffic steering, mobility management, provision of quality of service and management of inter-cell interferences.
Our concept provides open, flexible and efficient solution for hard inter-cell coordination problem, incremental approach built upon extension of current cellular and Wi-Fi network architecture and added-value from programmability, which allows open innovation in radio access networks.