Theo dõi
Jakob Hoydis
Jakob Hoydis
NVIDIA Research
Email được xác minh tại nvidia.com
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
An introduction to deep learning for the physical layer
T O’Shea, J Hoydis
IEEE Transactions on Cognitive Communications and Networking 3 (4), 563-575, 2017
26852017
Massive MIMO in the UL/DL of cellular networks: How many antennas do we need?
J Hoydis, S Ten Brink, M Debbah
IEEE Journal on selected Areas in Communications 31 (2), 160-171, 2013
26492013
Massive MIMO networks: Spectral, energy, and hardware efficiency
E Björnson, J Hoydis, L Sanguinetti
Foundations and Trends® in Signal Processing 11 (3-4), 154-655, 2017
17952017
Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come
MD Renzo, M Debbah, DT Phan-Huy, A Zappone, MS Alouini, C Yuen, ...
EURASIP Journal on Wireless Communications and Networking 2019 (1), 1-20, 2019
15002019
Massive MIMO systems with non-ideal hardware: Energy efficiency, estimation, and capacity limits
E Björnson, J Hoydis, M Kountouris, M Debbah
IEEE Transactions on information theory 60 (11), 7112-7139, 2014
10632014
Optimal design of energy-efficient multi-user MIMO systems: Is massive MIMO the answer?
E Björnson, L Sanguinetti, J Hoydis, M Debbah
IEEE Transactions on wireless communications 14 (6), 3059-3075, 2015
8702015
Deep learning-based communication over the air
S Dörner, S Cammerer, J Hoydis, S ten Brink
IEEE Journal of Selected Topics in Signal Processing, 2017
8342017
Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays
E Björnson, L Sanguinetti, H Wymeersch, J Hoydis, TL Marzetta
Digital Signal Processing 94, 3-20, 2019
7172019
Green small-cell networks
J Hoydis, M Kobayashi, M Debbah
IEEE Vehicular Technology Magazine 6 (1), 37-43, 2011
5922011
On deep learning-based channel decoding
T Gruber, S Cammerer, J Hoydis, S Ten Brink
2017 51st annual conference on information sciences and systems (CISS), 1-6, 2017
5892017
Massive MIMO has unlimited capacity
E Björnson, J Hoydis, L Sanguinetti
IEEE Transactions on Wireless Communications 17 (1), 574-590, 2017
4512017
Model-free training of end-to-end communication systems
FA Aoudia, J Hoydis
IEEE Journal on Selected Areas in Communications 37 (11), 2503-2516, 2019
367*2019
Massive MIMO: How many antennas do we need?
J Hoydis, S Ten Brink, M Debbah
2011 49th Annual Allerton conference on communication, control, and …, 2011
3622011
Channel measurements for large antenna arrays
J Hoydis, C Hoek, T Wild, S ten Brink
2012 International Symposium on Wireless Communication Systems (ISWCS), 811-815, 2012
3262012
Toward massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination
L Sanguinetti, E Björnson, J Hoydis
IEEE Transactions on Communications 68 (1), 232-257, 2019
3142019
OFDM-autoencoder for end-to-end learning of communications systems
A Felix, S Cammerer, S Dörner, J Hoydis, S Ten Brink
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
2852018
Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer?
E Björnson, L Sanguinetti, J Hoydis, M Debbah
2014 IEEE wireless communications and networking conference (WCNC), 242-247, 2014
2582014
Making smart use of excess antennas: Massive MIMO, small cells, and TDD
J Hoydis, K Hosseini, S Ten Brink, M Debbah
Bell Labs Technical Journal 18 (2), 5-21, 2013
2382013
Scaling deep learning-based decoding of polar codes via partitioning
S Cammerer, T Gruber, J Hoydis, S Ten Brink
GLOBECOM 2017-2017 IEEE global communications conference, 1-6, 2017
2362017
Adaptive neural signal detection for massive MIMO
M Khani, M Alizadeh, J Hoydis, P Fleming
IEEE Transactions on Wireless Communications 19 (8), 5635-5648, 2020
2222020
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