5 papers
Joint Probabilistic and Geometric Constellation Shaping for Complexity-Constrained Direct Detection Optical Systems
Rodrigo Fischer, Shrinivas Chimmalgi, Andrej Rode +1
We evaluate joint probabilistic and geometric constellation shaping via reinforcement learning for complexity-constrained joint equalization and demodulation of direct detection op…
Constellation Shaping for OFDM-ISAC Systems: From Theoretical Bounds to Practical Implementation
Benedikt Geiger, Fan Liu, Shihang Lu +4
Integrated sensing and communications (ISAC) promises new use cases for mobile communication systems by reusing the communication signal for radar-like sensing. However, sensing an…
An Extension of Enumerative Sphere Shaping for Arbitrary Channel Input Distributions
Frederik Ritter, Andrej Rode, Laurent Schmalen
A non-uniform channel input distribution is key for achieving the capacity of arbitrary channels. However, message bits are generally assumed to follow a uniform distribution which…
Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission
Vincent Lauinger, Lennart Schmitz, Patrick Matalla +3
We demonstrate the effectiveness of a novel phase-noise-tolerant, variational-autoencoder-based equalization scheme for space-division-multiplexed (SDM) transmission in an experime…
Joint Optimization of Geometric and Probabilistic Constellation Shaping for OFDM-ISAC Systems
Benedikt Geiger, Fan Liu, Shihang Lu +2
6G communications systems are expected to integrate radar-like sensing capabilities enabling novel use cases. However, integrated sensing and communications (ISAC) introduces a tra…