Jakob Hoydis
Jakob Hoydis
Head of Research Department, Radio Systems & AI, Nokia Bell Labs
Verified email at nokia-bell-labs.com
Title
Cited by
Cited by
Year
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
20582013
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
7862017
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
6692014
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
5432015
Green small-cell networks
J Hoydis, M Kobayashi, M Debbah
IEEE Vehicular Technology Magazine 6 (1), 37-43, 2011
5302011
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
3992017
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
3002011
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
2922017
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
2492012
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
2352017
Smart radio environments empowered by reconfigurable AI meta-surfaces: An idea whose time has come
M Di Renzo, M Debbah, DT Phan-Huy, A Zappone, MS Alouini, C Yuen, ...
EURASIP Journal on Wireless Communications and Networking 2019 (1), 1-20, 2019
2232019
Massive MIMO has unlimited capacity
E Björnson, J Hoydis, L Sanguinetti
IEEE Transactions on Wireless Communications 17 (1), 574-590, 2017
2002017
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
1992013
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
1752014
Massive MIMO and small cells: How to densify heterogeneous networks
K Hosseini, J Hoydis, S Ten Brink, M Debbah
2013 IEEE International Conference on Communications (ICC), 5442-5447, 2013
1242013
Optimal channel training in uplink network MIMO systems
J Hoydis, M Kobayashi, M Debbah
IEEE Transactions on Signal Processing 59 (6), 2824-2833, 2011
111*2011
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
1092019
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
94*2019
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
942017
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
852018
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