2 papers
eess.SP2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity
Edgar Beck, Carsten Bockelmann, Armin Dekorsy
Following the great success of Machine Learning (ML), especially Deep Neural Networks (DNNs), in many research domains in 2010s, several ML-based approaches were proposed for detec…
cs.IT2018
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder +16
The fifth generation of cellular communication systems is foreseen to enable a multitude of new applications and use cases with very different requirements. A new 5G multiservice a…