562 citations · 2.3k across the 214 of their papers we have counts for
44 papers · 1 filter
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi, Ming Xiao, Emil Björnson
Federated Learning (FL) enables clients to share learning parameters instead of local data, reducing communication overhead. Traditional wireless networks face latency challenges w…
Exploiting Mutual Coupling Characteristics for Channel Estimation in Holographic MIMO
Nikolaos Kolomvakis, Emil Björnson
Holographic multiple-input multiple-output (MIMO) systems represent a spatially constrained MIMO architecture with a massive number of antennas with small antenna spacing as a clos…
Parametric Channel Estimation for RIS-Assisted Wideband Systems
Alva Kosasih, Ozlem Tugfe Demir, Emil Bjornson
A reconfigurable intelligent surface (RIS) alters the reflection of incoming signals based on the phase-shift configuration assigned to its elements. This feature can be used to im…
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
Afsaneh Mahmoudi, Emil Björnson
Federated learning (FL) is a distributed learning framework where users train a global model by exchanging local model updates with a server instead of raw datasets, preserving dat…
Achieving Beamfocusing via Two Separated Uniform Linear Arrays
Alva Kosasih, Özlem Tugfe Demir, Emil Björnson
This paper investigates coordinated beamforming using a modular linear array (MLA), composed of a pair of physically separated uniform linear arrays (ULAs), treated as sub-arrays.…
Cell-Free Beamforming Design for Physical Layer Multigroup Multicasting
Mahmoud Zaher, Emil Björnson, Marina Petrova
In many wireless communication applications, it is desirable to transmit the same data to multiple user equipments (UEs). Physical layer multicasting presents an efficient transmis…