Zobrazeno 1 - 10
of 6 147
pro vyhledávání: '"P. Amat"'
Autor:
Wu, Yibo, Sanguinetti, Luca, Keskin, Musa Furkan, Gustavsson, Ulf, Amat, Alexandre Graell i, Wymeersch, Henk
Cell-free massive multiple-input multiple-output (mMIMO) networks enhance coverage and spectral efficiency (SE) by distributing antennas across access points (APs) with phase coherence between APs. However, the use of cost-efficient local oscillators
Externí odkaz:
http://arxiv.org/abs/2410.18722
Autor:
Banerjee, Anisha, Welter, Lorenz, Amat, Alexandre Graell i, Wachter-Zeh, Antonia, Rosnes, Eirik
Standard decoding approaches for convolutional codes, such as the Viterbi and BCJR algorithms, entail significant complexity when correcting synchronization errors. The situation worsens when multiple received sequences should be jointly decoded, as
Externí odkaz:
http://arxiv.org/abs/2410.07120
We propose and analyze a novel scheme based on LDPC codes for quantitative group testing. The key underlying idea is to augment the bipartite graph by introducing hidden non-binary variables to strengthen the message-passing decoder. This is achieved
Externí odkaz:
http://arxiv.org/abs/2409.19621
We have formulated a generalized two level model for studying the pair production in multidimensional time-dependent electric fields. It can provide momentum spectra with fully spin resolved components for all possible combined spin states of the par
Externí odkaz:
http://arxiv.org/abs/2409.11833
Autor:
Ninkovic, Vukan, Kundacina, Ognjen, Vukobratovic, Dejan, Häger, Christian, Amat, Alexandre Graell i
In this paper, we propose a novel decoding method for Quantum Low-Density Parity-Check (QLDPC) codes based on Graph Neural Networks (GNNs). Similar to the Belief Propagation (BP)-based QLDPC decoders, the proposed GNN-based QLDPC decoder exploits the
Externí odkaz:
http://arxiv.org/abs/2408.05170
Autor:
Welter, Lorenz, Sokolovskii, Roman, Heinis, Thomas, Wachter-Zeh, Antonia, Rosnes, Eirik, Amat, Alexandre Graell i
We consider error-correcting coding for deoxyribonucleic acid (DNA)-based storage using nanopore sequencing. We model the DNA storage channel as a sampling noise channel where the input data is chunked into $M$ short DNA strands, which are copied a r
Externí odkaz:
http://arxiv.org/abs/2406.12955
Local mutual-information privacy (LMIP) is a privacy notion that aims to quantify the reduction of uncertainty about the input data when the output of a privacy-preserving mechanism is revealed. We study the relation of LMIP with local differential p
Externí odkaz:
http://arxiv.org/abs/2405.07596
Autor:
Ngo, Khac-Hoang, Durisi, Giuseppe, Munari, Andrea, Lázaro, Francisco, Amat, Alexandre Graell i
We investigate the age of information (AoI) in a scenario where energy-harvesting devices send status updates to a gateway following the slotted ALOHA protocol and receive no feedback. We let the devices adjust the transmission probabilities based on
Externí odkaz:
http://arxiv.org/abs/2404.18990
Publikováno v:
IEEE International Symposium on Information Theory (ISIT), Taipei, Taiwan, 2023, pp. 1860-1865
A non-adaptive quantitative group testing (GT) scheme based on sparse codes-on-graphs in combination with low-complexity peeling decoding was introduced and analyzed by Karimi et al.. In this work, we propose a variant of this scheme based on low-den
Externí odkaz:
http://arxiv.org/abs/2404.11463
Publikováno v:
ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 2924-2929
We show that spatially coupled low-density parity-check (LDPC) codes yield robust performance over changing intersymbol interfere (ISI) channels with optimal and suboptimal detectors. We compare the performance with classical LDPC code design which i
Externí odkaz:
http://arxiv.org/abs/2404.10367