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Coding and Signal Processing for Emerging Wireless Communication and Sensor Networks

Acronym:    CARMEN
Code:    TEC2016-75067-C4-2-R
Funder:    Spanish Government
Start date:    2016 December 30th
End date:    2019 December 29th
Keywords:    Wireless Communications, Wireless Sensor Networks, Coding, Signal Processing, Information Theory, Wireless Testbeds
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Partners:    Centro de Estudios e Investigaciones Técnicas de Guipuzcoa, Universidad de Cantabria and Universidad de Coruña
SPCOM Participants:    Jaume Del Olmo Alos, Pere Giménez Febrer, Alba Pagès Zamora, Javier Rodríguez Fonollosa and Farzin Salek Shishavan
SPCOM Responsible:    Javier Rodríguez Fonollosa


CARMEN aims at developing coding and signal processing techniques for incipient wireless communication and sensor networks. Two major trends are appreciated in the current evolution of wireless networks. On the one hand, next generation of cellular systems will use radio interfaces with unprecedented high data rates to address the huge data traffic produced by future mobile applications. To satisfy such demand, the radio interfaces will use new frequency bands located in the 10-300 GHz mmWave region, MIMO transceivers with wider bandwidths and higher number of transmit/receive antennas, unconventional waveforms to exploit fragmented spectrum allocations, and network densification through the use of heterogeneous wireless networks combining macro-, pico-, femtocells, relays and distributed antennas. On the other, many foreseen applications will use Wireless Sensor Networks (WSN), i.e. networks with a huge number of low-cost devices, which are spatially distributed and work cooperatively to communicate information gathered from the monitored field through wireless links. One of the main challenges that emerging WSNs should face is the optimization of the way they exchange and compute data in a distributed way. There are  also important challenges related to the wireless connectivity. It is of paramount importance  to reduce the delay and complexity of the wireless connections to reduce power consumption.

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