Sandra Lagén

Sandra Lagén


Division: Communication Networks
Category: Research
Phone: +34 93 645 29 00     Ext: 2169
Fax: +3493 645 29 01

Sandra Lagén received the Telecommunication Engineering degree, the Master’s degree, and the Ph.D. degree from Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 2011, 2013, and 2016, respectively.

From 2010 to 2011, she was with Abertis Telecom, Barcelona, as an internship for projects related to infrastructures for surveillance and smart cities. From 2012 to 2017 she was a research assistant in the Signal Processing and Communications group at UPC, where she carried out her Ph.D. thesis “Coordination Strategies for Interference Management in MIMO Dense Cellular Networks” thanks to a Spanish Ministry of Education grant (FPU). At that time, she participated in two FP7-ICT projects funded by the European Commission (FREEDOM, aimed at designing advanced interference-aware cooperative resource management techniques in dense heterogeneous network deployments, and TROPIC, aimed at designing coordinated algorithms for the joint allocation of radio and computational resources, with the possibility of offloading computation and storage tasks from the users to network edge devices with enhanced capabilities)  and a collaborative project with Huawei on flexible duplexing for 5G systems. Also, during that time she supervised a master thesis about non-orthogonal schemes for massive machine-type communications, participated in various projects funded by MINECO (MOSAIC, DISNET, and 5G-RUNNER), and prepared multiple contributions to 3GPP standardization body. Note that UPC was the first university world-wide contributing to 3GPP LTE-A. In 2015, she did a research appointment at Nokia Networks and Aalborg University in Aalborg, Denmark.

Since 2017 she is a Researcher in the Mobile Networks Department of the Communication Networks Division at CTTC, where she has participated in a collaborative project with InterDigital on 5G NR and NR-U design for mmWave bands and coexistence studies with other technologies in unlicensed spectrum, a grant from the NIST (U.S. Commerce Department’s National Institute of Standards and Technology) to enable and accelerate NR Vehicular to Everything (V2X) communications for sub 6 GHz and mmWave bands, and a collaborative project with Huawei Sweden on fronthaul compression control for next-generation RAN. The 5G NR, NR-U and NR V2X technologies are modeled and simulated in an end-to-end open-source network simulator (ns-3) built by part of the CTTC MONET department, whose details can be found here. Sandra contributes to the design and development of the modules. Also, in CTTC, she has been involved in the 5G-REFINE project, funded by MINECO, leading a task, and in the supervision of the research stay of an ESR PhD student of the ITN SCAVENGE network. Also, she has supervised a master thesis about the applicability of 5G NR and Wi-Fi on the Aerospace Industry 4.0 sector, in 2019, and has co-supervised a Google Summer of Code (GSoC) project about the integration of the 3GPP TR 38.901 channel model in ns-3, in 2019.

In 2017, she was awarded by COIT (Colegio Oficial de Ingenieros de Telecomunicación) the best national Ph.D. thesis on high-speed broadband mobile communications, sponsored by Orange. The Ph.D. thesis also received the UPC’s Premio Extraordinario de Doctorado in 2019. Also, in 2012 she was awarded by the best final project in Telecommunications Engineering in the area of Information Systems, and in 2013 by COIT the best national Master Thesis on Analysis and Optimization of Wireless Networks, sponsored by Ingenia Telecom.

She is the co-recipient of the IEEE Wireless Communications and Networking Conference 2018 (WCNC18) best paper award and the 2020 Workshop on ns-3 (WNS3) best paper award. She has two non-provisional patent applications granted, two provisional applications filled, and has participated in several contributions to 3GPP-LTE release 11 and 12. Her main research interests are in designing and analyzing wireless communication systems and network protocols with emphasis on cross-layer optimizations, especially with PHY and MAC layers.


Scopus Author ID: 47061381500

WoS Researcher ID: K-7542-2017

Google scholar profile: