Zobrazeno 1 - 7 of 7 pro vyhledávání: '"Van Rompaey, Robbe"'
1
Report
GEVD-based Low-Rank Channel Covariance Matrix Estimation and MMSE Channel Estimation for Uplink Cellular Massive MIMO Systems
Autor: Van Rompaey, Robbe, Moonen, Marc
Publikováno v: in 30th European Conference on Signal Processing (EUSIPCO 2022)
Uplink channel estimation is a crucial component for the performance of cellular massive MIMO systems. However, when the number of user equipments (UEs) grows, the sharing of the available resources causes interference between UEs in neighboring cell
Externí odkaz: http://arxiv.org/abs/2111.11902
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2
Report
On the long-term learning ability of LSTM LMs
Autor: Boes, Wim, Van Rompaey, Robbe, Verwimp, Lyan, Pelemans, Joris, Van hamme, Hugo, Wambacq, Patrick
Publikováno v: ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2020) 625-630
We inspect the long-term learning ability of Long Short-Term Memory language models (LSTM LMs) by evaluating a contextual extension based on the Continuous Bag-of-Words (CBOW) model for both sentence- and discourse-level LSTM LMs and by analyzing its
Externí odkaz: http://arxiv.org/abs/2106.08927
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3
Akademický článek
Distributed MMSE-based uplink receive combining, downlink transmit precoding and optimal power allocation in cell-free massive MIMO systems.
Autor: Van Rompaey, Robbe1 (AUTHOR) robbe.vanrompaey@esat.kuleuven.be, Moonen, Marc1 (AUTHOR)
Publikováno v: EURASIP Journal on Wireless Communications & Networking. 6/11/2023, Vol. 2023 Issue 1, p1-31. 31p.
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4
GEVD-based low-rank channel covariance matrix estmation and MMSE channel estimation for uplink cellular massive MIMO systems
Autor: Van Rompaey, Robbe, Moonen, Marc
Uplink channel estimation is a crucial component for the performance of cellular massive MIMO systems. However, when the number of user equipments (UEs) grows, the sharing of the available resources causes interference between UEs in neighboring cell
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56449ab17fe49baf5f5db1e87c833192
https://lirias.kuleuven.be/handle/20.500.12942/696426
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5
Akademický článek
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6
On the long-term learning ability of LSTM LMs
Autor: Boes, Wim, Van Rompaey, Robbe, Verwimp, Lyan, Pelemans, Joris, Van hamme, Hugo, Wambacq, Patrick
We inspect the long-term learning ability of Long Short-Term Memory language models (LSTM LMs) by evaluating a contextual extension based on the Continuous Bag-of-Words (CBOW) model for both sentence- and discourse-level LSTM LMs and by analyzing its
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59fe950f21a8f408dd576bd061f1f7bb
https://lirias.kuleuven.be/handle/123456789/676838
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7
Akademický článek
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