J
Jakob Hoydis
Researcher at Bell Labs
Publications - 155
Citations - 16968
Jakob Hoydis is an academic researcher from Bell Labs. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 39, co-authored 141 publications receiving 12482 citations. Previous affiliations of Jakob Hoydis include RWTH Aachen University & Nokia Networks.
Papers
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Journal ArticleDOI
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
TL;DR: How many antennas per UT are needed to achieve η% of the ultimate performance limit with infinitely many antennas and how many more antennas are needed with MF and BF to achieve the performance of minimum mean-square error (MMSE) detection and regularized zero-forcing (RZF), respectively are derived.
Journal ArticleDOI
An Introduction to Deep Learning for the Physical Layer
Timothy J. O'Shea,Jakob Hoydis +1 more
TL;DR: In this article, an end-to-end reconstruction task was proposed to jointly optimize transmitter and receiver components in a single process, which can be extended to networks of multiple transmitters and receivers.
Journal ArticleDOI
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come
Marco Di Renzo,Merouane Debbah,Dinh-Thuy Phan-Huy,Alessio Zappone,Mohamed-Slim Alouini,Chau Yuen,Vincenzo Sciancalepore,George C. Alexandropoulos,Jakob Hoydis,Haris Gacanin,Julien de Rosny,Ahcène Bounceur,Geoffroy Lerosey,Mathias Fink +13 more
TL;DR: This paper overviews the current research efforts on smart radio environments, the enabling technologies to realize them in practice, the need of new communication-theoretic models for their analysis and design, and the long-term and open research issues to be solved towards their massive deployment.
Book
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
TL;DR: This monograph summarizes many years of research insights in a clear and self-contained way and providest the reader with the necessary knowledge and mathematical toolsto carry out independent research in this area.
Journal ArticleDOI
Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits
TL;DR: It is proved that the huge degrees of freedom offered by massive MIMO can be used to reduce the transmit power and/or to tolerate larger hardware impairments, which allows for the use of inexpensive and energy-efficient antenna elements.