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
A Reduced-Complexity Linear Precoding Strategy for Massive MIMO Base Stations25th International Conference on Telecommunications, ICT 2018 (2018)
A reduced-complexity linear precoding strategy for massive MIMO base stations25th International Conference on Telecommunications, ICT 2018 (2018)
Approximate enumerative sphere shaping2018 IEEE International Symposium on Information Theory, ISIT 2018 (2018)
Capacity of a multiple enrollment system based on an SRAM-PUF2018 IEEE International Symposium on Information Theory, ISIT 2018 (2018)
Capacity lower bounds of the noncentral Chi-channel with applications to soliton amplitude modulationIEEE Transactions on Communications (2018)