3 papers
cs.LG2024
Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks
Afsaneh Mahmoudi, Mahmoud Zaher, Emil Björnson
Federated learning (FL) is a distributed learning paradigm wherein users exchange FL models with a server instead of raw datasets, thereby preserving data privacy and reducing comm…
eess.SP2024
Unknown Interference Modeling for Rate Adaptation in Cell-Free Massive MIMO Networks
Mahmoud Zaher, Emil Björnson, Marina Petrova
Co-channel interference poses a challenge in any wireless communication network where the time-frequency resources are reused over different geographical areas. The interference is…
eess.SP2023
A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks
Mahmoud Zaher, Emil Björnson, Marina Petrova
The existence of unknown interference is a prevalent problem in wireless communication networks. Especially in multi-user multiple-input multiple-output (MIMO) networks, where a la…