Reinforcement Learning-Based Global Programming for Energy Efficiency in Multi-Cell Interference Networks. - Ramprasad Raghunath; Bile Peng; Karl-Ludwig Besser; Eduard A. Jorswieck (ICC, 2022)

Non-Convex Optimization of Energy Efficient Power Control in Interference Networks via Machine Learning. - Bile Peng; Karl-Ludwig Besser; Ramprasad Raghunath; Eduard A. Jorswieck (GLOBECOM, 2023)

RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI. - Bile Peng; Karl-Ludwig Besser; Ramprasad Raghunath; Vahid Jamali; Eduard A. Jorswieck (GLOBECOM, 2023)

Rate-Splitting Downlink Transmission in Cell-Free Networks under Fronthaul Constraints. - Eduard A. Jorswieck; Luca Kunz; Ramprasad Raghunath; Bile Peng (ISWCS, 2023)

Practical Wiretap Code Design by Concatenated Autoencoder and LDPC Codes. - Shangxuan Lyu; Ramprasad Raghunath; Luca Kunz; Karl-Ludwig Besser; Pin-Hsun Lin; Eduard A. Jorswieck (WIFS, 2023)

Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning. - Bile Peng; Karl-Ludwig Besser; Ramprasad Raghunath; Eduard A. Jorswieck (IEEE Trans. Wirel. Commun., 2023)

Distributed Combinatorial Optimization of Downlink User Assignment in mmWave Cell-free Massive MIMO Using Graph Neural Networks. - Bile Peng; Bihan Guo; Karl-Ludwig Besser; Luca Kunz; Ramprasad Raghunath; Anke Schmeink; Eduard A. Jorswieck; Giuseppe Caire; H. Vincent Poor (GLOBECOM, 2024)

RISnet: A Domain-Knowledge Driven Neural Network Architecture for RIS Optimization With Mutual Coupling and Partial CSI. - Bile Peng; Karl-Ludwig Besser; Shanpu Shen; Finn Siegismund-Poschmann; Ramprasad Raghunath; Daniel M. Mittleman; Vahid Jamali; Eduard Axel Jorswieck (IEEE Trans. Wirel. Commun., 2025)