Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Wolfgang Zirwas"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 3, Pp 1578-1591 (2022)
Knowledge of channel state information (CSI) is fundamental to many functionalities for mobile communication systems. With the advance of machine learning (ML) and digital maps, i.e., digital twins, we have a big opportunity to learn the propagation
Externí odkaz:
https://doaj.org/article/b33a616d65934261847e5a8870411ad0
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-12 (2020)
Abstract The performance of centralized and distributed massive MIMO deployments are studied for simulated indoor office scenarios. The distributed deployments use one of the following precoding methods: (1) local precoding with local channel state i
Externí odkaz:
https://doaj.org/article/359cd934879541f38b0dbfff15be098c
Publikováno v:
International Journal of Antennas and Propagation, Vol 2013 (2013)
For today's cellular mobile communication networks, the needed capacity is hard to realize without much more of (expensive) bandwidth. Thus new standards like LTE were developed. LTE advanced is in discussion as the successor of LTE and cooperative m
Externí odkaz:
https://doaj.org/article/a3a0352dbf9e4f7cafac929164c28b2d
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)
It is one of the biggest challenges of distributed cooperative antenna (COOPA) systems to provide base stations (BSs) with downlink channel information for transmit filtering (precoding). In this paper, we propose a novel feedback scheme via a subspa
Externí odkaz:
https://doaj.org/article/bdbdc2e39fb5431c98f19e27189ad146
Machine learning (ML) applications for wireless communications have gained momentum on the standardization discussions for 5G advanced and beyond. One of the biggest challenges for real world ML deployment is the need for labeled signals and big meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29fd1e80078113b6f26a2c2e8a1f692
http://arxiv.org/abs/2111.07858
http://arxiv.org/abs/2111.07858
Publikováno v:
ICC Workshops
Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrained radio frequency (RF) frontends has been proposed, as well as novel
Publikováno v:
IEEE Transactions on Communications. 67:3279-3291
Massive multiple input multiple output (MIMO) transmission and coordinated multipoint transmission are candidate technologies for increasing data throughput in evolving 5G standards. Frequency division duplex (FDD) is likely to remain predominant in
Autor:
Mikael Sternad, Wolfgang Zirwas
Publikováno v:
ICC
One of the essential challenges for MIMO or massive MIMO and cooperative multipoint systems is obtaining accurate channel state information (CSI) at the base station side, as the related closed loop MIMO precoders are sensitive to channel aging effec
Publikováno v:
MIMO System Technology for Wireless Communications ISBN: 9781315222011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dac68cef74e08f4fbd146c08dd62023
https://doi.org/10.1201/9781315222011-11
https://doi.org/10.1201/9781315222011-11
Autor:
Alessandro Grassi, Wolfgang Zirwas, Giuseppe Piro, Gennaro Boggia, Klaus I. Pedersen, Lars Thiele, R. SivaSiva Ganesan, Martin Kurras
Upcoming 5G systems are called to face a huge growth of mobile traffic compared to the current 4G technology. To meet this challenge, the Massive Multiple-Input Multiple-Output (mMIMO) emerged as an essential and capable transmission technique, able
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44d82a67ac5d1ec436cb22b30d4f138d
http://hdl.handle.net/11589/147088
http://hdl.handle.net/11589/147088