Alireza Danaee

13 papers Misc 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
6G PHY: Insights From 6G-ANNA Research Initiative.
IEEE Open J. Commun. Soc.
Bitan Banerjee, Bharat Agarwal, Abdullah Ahmad, Carsten Bockelmann, Renato L. G. Cavalcante, Alireza Danaee, Armin Dekorsy, Gerhard P. Fettweis, Jochen Fink, Norman Franchi, Rick Fritschek, Florian Gast, Pramesh Gautam, Johannes Kortz, Chu Li, Miguel Lopez, Maximilian Lübke, Lorenzo Miretti, Ahmad Nimr, Mohammad Parvini, Stefan Roth, Rafael F. Schaefer, Anke Schmeink, Gerhard Schreiber, Sadra Seyedmasoumian, Aydin Sezgin, Slawomir Stanczak, Yanpeng Su, Dirk Wübben, Christian T. Zenger
2026 J jnl
AI/ML-Driven 6G Network Solutions With Energy Efficiency Considerations.
IEEE Access
Andreas Roessler, Miguel M. Lopez, Rouaa Diab, Renato Luís Garrido Cavalcante, Ali Abdi, Christian Arendt, Carsten Bockelmann, Alireza Danaee, Marco Danger, Armin Dekorsy, Ali El Husseini, Gerhard P. Fettweis, Jochen Fink, Rick Fritschek, Pramesh Gautam, Muhammad Qurratulain Khan, Sachinkumar Bavikatti Mallikarjun, Ahmad Nimr, Mohammad Parvini, Erma Perenda, Robert-Jeron Reifert, Rafael F. Schaefer, Hans D. Schotten, Philipp Schulz, Aydin Sezgin, Slawomir Stanczak, Christian Wietfeld, Dirk Wübben
2025 J jnl
Forward-Aware Multi-Source Distributed Vector Quantization for Noisy Channels via Information Bottleneck Principle.
IEEE Open J. Commun. Soc.
Shayan Hassanpour, Alireza Danaee, Dirk Wübben, Armin Dekorsy
2024 J jnl
Multi-Source Distributed Data CompressionBased on Information Bottleneck Principle.
IEEE Open J. Commun. Soc.
Shayan Hassanpour, Alireza Danaee, Dirk Wübben, Armin Dekorsy
2023 — conf
Performance Analysis of Distributed Quantization Aware LMS Algorithm with Quantized Measurements.
ISWCS
Alireza Danaee, Rodrigo C. de Lamare, Vítor Heloiz Nascimento
2023 — conf
Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems.
ISWCS
Alireza Danaee, Shayan Hassanpour, Dirk Wübben, Armin Dekorsy
2022 J jnl
Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals.
IEEE Trans. Signal Process.
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
2022 — conf
Quantization-Aware Federated Learning with Coarsely Quantized Measurements.
EUSIPCO
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
2021 J jnl
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals.
CoRR
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
2021 J jnl
Energy-Efficient Distributed Learning With Coarsely Quantized Signals.
IEEE Signal Process. Lett.
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
2021 — conf
Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals.
SSP
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
2020 Misc conf
Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals.
ACSSC
Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento
2020 J jnl
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals.
CoRR
Alireza Danaee, Rodrigo C. de Lamare, Victor H. Nascimento