Ramprasad Raghunath

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Packet Delivery

Machine Learning

Energy Management

Energy Efficiency

Top Venues

Publications

Bile Peng, Karl-Ludwig Besser, Shanpu Shen, Finn Siegismund-Poschmann, Ramprasad Raghunath, Daniel Mittleman, Vahid Jamali, Eduard A. Jorswieck
RISnet: A Domain-Knowledge Driven Neural Network Architecture for RIS Optimization with Mutual Coupling and Partial CSI. CoRR (2024)
Shangxuan Lyu, Ramprasad Raghunath, Luca Kunz, Karl-Ludwig Besser, Pin-Hsun Lin, Eduard A. Jorswieck
Practical Wiretap Code Design by Concatenated Autoencoder and LDPC Codes. WIFS (2023)
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Eduard A. Jorswieck
Non-Convex Optimization of Energy Efficient Power Control in Interference Networks via Machine Learning. GLOBECOM (2023)
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Vahid Jamali, Eduard A. Jorswieck
RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI. GLOBECOM (2023)
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Vahid Jamali, Eduard A. Jorswieck
RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI. CoRR (2023)
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Eduard A. Jorswieck
Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning. IEEE Trans. Wirel. Commun. 22 (12) (2023)
Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Eduard A. Jorswieck
Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning. CoRR (2022)
Ramprasad Raghunath, Bile Peng, Karl-Ludwig Besser, Eduard A. Jorswieck
Reinforcement Learning-Based Global Programming for Energy Efficiency in Multi-Cell Interference Networks. ICC (2022)