The main interest of the ICT Lab is to study information processing in a broad sense. We focus e.g. on data compaction and compression, modulation and error correction, and security. The aim is to determine fundamental limits, but also the techniques, often codes, that approach these limits as closely as possible. In this example we present efficient signal constellations for communication over additive white Gaussian noise (AWGN) channels, that we found by dr. Bin Chen and dr. Alvarado, both from the ICT Lab. These constellations maximize, as a function of the signal to noise ratio (SNR), the mutual information for the bit-labels of the signal points, the BMI. Research in this field leads to more efficient optical and wireless communication techniques.
Meet some of our Researchers
Our most recent peer reviewed publications
Secret key generation over biased physical unclonable functions with polar codesIEEE Internet of Things Journal (2019)
Rate-Adaptive Coded Modulation with Geometrically-shaped Constellations2018 Asia Communications and Photonics Conference, ACP 2018 (2018)
Rate-adaptive coded modulation with geometrically-shaped constellations2018 Asia Communications and Photonics Conference, ACP 2018 (2018)
Mitigating LED nonlinearity to enhance visible light communicationsIEEE Transactions on Communications (2018)
A Reduced-Complexity Linear Precoding Strategy for Massive MIMO Base Stations25th International Conference on Telecommunications, ICT 2018 (2018)