Luca Rose

Nokia Bell Labs
7, Route de Villejuste, 91620 Nozay

Member of Technical Staff 
Senior Research Engineer
Email: luca(dot)rose(at)supelec(dot)fr , luca(dot)rose(at)nokia(dot)com
Citations score:     240
h-number:                 7
i10-index:                  7

(updated: 20//2018)                                               


Luca Rose received his B.Sc. degree in telecommunications engineering from the University of Pisa, Italy. In 2009 he received his M.Sc. degree with honors from the same university, developing a real-time software radio implementation of the demodulation system of a DVB-T receiver. From 2009 to 2010 he worked within the SDR4ALL project developing the IP FPGA code for the new software defined radio peripheral. From 2010 to 2013, he followed his PhD studies on Game Theory and Learning Theory for resource allocation in decentralized ad hoc networks, as a member of the Alcatel-Lucent chair in Flexible Radio, in Supélec. Furthermore, he held a position as research engineer in Thales in the context of the project CO.RA.S.MA (COgnitive RAdio for dynamic Spectrum MAnagement). From December to March 2014, he worked as a DSP-Research engineer at SIGFOX, where he actively contributed in designing the receiver digital signal treatment chain. From May 2014 to April 2018, he worked at the Algorithmic and Mathematical sciences lab., at the Huawei France Research Center as a researcher on algorithms for 5G communications. Since May 2018 he is a senior Member of Technical Staff at the Nokia Bell Labs, where he contributes to 5G+ standardization process. He is actively working on the ideation of low-complexity and high performing MIMO precoding and decoding schemes, both for sub GHz and mmWave systems, as well as investigating the problematic inherent to D2D and M2M networks. His interests span from the field of software radio to the field of Game theory, device-to-device communications, distributed resource allocation, mmWave and MIMO systems. 

Furthermore, he is a machine learning enthusiast.

Research interests index: - MIMO, mmWave communications, Device-to-device, Game Theory -Learning Theory -Software Defined Radios - Machine Learning.