Competitive resource allocation for Energy efficiency Maximization in Relay-assisted Interference wireless Networks (CEMRIN).

• Applicant: Dr. Alessio Zappone
• Subject Area: Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering ; Security and Dependability, Operating-, Communication- and Distributed Systems
• Term: from 2012 to 2016
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 226131430

One of the most important challenges to be faced by the wireless community is the design of the next generation of wireless cellular networks. 5G networks will be required to meet several constraints and specifications, one of the most important being the increase of the data rate by a factor 1000, but at a similar power consumption as present networks. This requires an increase of the energy efficiency of a factor 1000, too. The third phase of CEMRIN will address this issue. The research activity will focus on the design of energy-efficient resource allocation algorithms for 5G networks. The results and algorithms obtained in the first two phases will be adapted and tailored to work with two of the most promising technologies that have been proposed for 5G, namely dense heterogeneous networks and massive MIMO networks. Similarly to the previous two phases, CEMRIN-III will design both competitive and cooperative energy-efficient algorithms, employing both game theory and fractional programming theory. Moreover, in order to analyze dense and massive MIMO networks, the tool of random matrix theory will be used. CEMRIN-III will develop energy-efficient procedures that adapt to the heterogeneous nature of dense networks and that account for the non-idealities of massive MIMO systems. Moreover, the project will also consider hybrid solutions wherein the massive MIMO and dense network technologies are used together.

• DFG Programme: Research Grants