Coding and Signal Processing for Emerging Wireless Communication and Sensor Networks (CARMEN)

Funded by: 
Ministerio Economia y Competitividad (TEC2016-75067-C4-4-R)
Ministerio de Economía y Competitividad

CARMEN is a three-year (2017-2019) research project sponsored by Gobierno de España (TEC2016-75067-C4-1-R). CARMEN addresses two major trends in current wireless networks: radio interfaces with unprecedented high data rates and Wireless Sensor Networks (WSN). CARMEN aims at developing advanced coding (joint source channel coding, polar coding, correlated information, network coding) and signal processing (unconventional MIMO transceiver architectures, improper signaling schemes for interference-limited scenarios, multiuser architectures for non-coherent transmissions, and distributed signal and information processing over networks and graphs) techniques for emerging wireless communication and sensor networks. CARMEN will also carry out experimental evaluation of coding and signal processing techniques by means of Over The Air (OTA) transmissions and simulations.

Publications for this project

Journal Article


C. Lameiro, I. Santamaría, and P. J. Schreier, "Rate Region Boundary of the SISO Z-interference Channel with Improper Signaling", IEEE Transactions on Communications, vol. 65, issue 3, pp. 1022-1024, March, 2017. PDF icon PDF Version (376.74 KB)
Conference Paper


I. Santamaría, J. Vía, L. L. Scharf, and Y. Wang, "A GLRT approach for detecting correlated signals in white noise in two MIMO channels", European Signal Processing Conference (EUSIPCO), Kos, Greece, August, 2017. PDF icon PDF Version (363.75 KB)
J. Fanjul, I. Santamaría, J. Ibáñez, and C. Loucera, "Experimental Evaluation of Non-Coherent MIMO Grassmannian Signaling Schemes", 16th International Conference on Ad Hoc Networks and Wireless (AdHoc-Now 2017), Messina, Italy, September, 2017. PDF icon PDF Version (2.18 MB)
I. Santamaría, J. Vía, M. Kirby, T. Marrinan, C. Peterson, and L. L. Scharf, "Constrained subspace estimation via convex optimization", European Signal Processing Conference (EUSIPCO), Kos, Greece, August, 2017. PDF icon PDF Version (405.47 KB)