no code implementations • 8 Nov 2022 • Shashi Kant, José Mairton B. da Silva Jr., Gabor Fodor, Bo Göransson, Mats Bengtsson, Carlo Fischione
We propose FedTOP-ADMM, which generalizes FedADMM and is based on a three-operator ADMM-type technique that exploits a smooth cost function on the edge server to learn a global model parallel to the edge devices.
no code implementations • 25 May 2022 • Shashi Kant, Mats Bengtsson, Gabor Fodor, Bo Göransson, Carlo Fischione
Although signal distortion-based peak-to-average power ratio (PAPR) reduction is a feasible candidate for orthogonal frequency division multiplexing (OFDM) to meet standard/regulatory requirements, the error vector magnitude (EVM) stemming from the PAPR reduction has a deleterious impact on the performance of high data-rate achieving multiple-input multiple-output (MIMO) systems.
no code implementations • 5 Mar 2021 • Baptiste Cavarec, Hasan Basri Celebi, Mats Bengtsson, Mikael Skoglund
We show that using artificial neural networks to predict the required order of an ordered statistics based decoder helps in reducing the average complexity and hence the latency of the decoder.
no code implementations • 25 Sep 2020 • Shashi Kant, Mats Bengtsson, Gabor Fodor, Bo Göransson, Carlo Fischione
In this paper we propose a novel spectral precoding approach which constrains the EVM while complying with the mask requirements.
1 code implementation • 15 Jun 2020 • Lissy Pellaco, Mats Bengtsson, Joakim Jaldén
Motivated by the recent success of deep unfolding in the trade-off between complexity and performance, we propose the novel application of deep unfolding to the WMMSE algorithm for a MISO downlink channel.
2 code implementations • 1 Apr 2014 • Emil Björnson, Mats Bengtsson, Björn Ottersten
A high signal power is achieved by transmitting the same data signal from all antennas, but with different amplitudes and phases, such that the signal components add coherently at the user.
Information Theory Information Theory
1 code implementation • 18 Sep 2012 • Emil Björnson, Per Zetterberg, Mats Bengtsson, Björn Ottersten
The capacity of ideal MIMO channels has a high-SNR slope that equals the minimum of the number of transmit and receive antennas.
Information Theory Information Theory
1 code implementation • 11 Jul 2012 • Emil Björnson, Marios Kountouris, Mats Bengtsson, Björn Ottersten
Analytic results are derived to show how user selection, spatial correlation, heterogeneous user conditions, and imperfect channel acquisition (quantization or estimation errors) affect the performance when sending the maximal number of streams or one stream per scheduled user---the two extremes in data stream allocation.
Information Theory Information Theory