Inhalt des Dokuments
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[1]- © Fraunhofer
HHI
Research
Matthias Mehlhose received his diploma degree from university of
applied sciences (FHTW Berlin, now HTW) in 2008 and his master of
science in 2012 from Technische Universität Berlin. He started his
scientific career at Fraunhofer Heinrich Hertz Institute in 2007 with
an internship. After he worked as a Research Assistant and Research
Associate he is now working toward his Ph.D..
His current research interests focused on modern wireless
communication system like LTE (4G) and NR (5G) on the physical layer
signal processing. Especially using software-defined radio with
massive MIMO antennas on different radio bands to examine beamforming,
user localization algorithms and channel fingerprints.
Current Projects
- digitalTWIN
[2]
- One5G [3]
- MIDRAS
[4]
Profiles
- Fraunhofer Heinrich-Hertz-Institute,
HHI [5]
- ResearchGate [6]
- Google Scholar
[7]
- LinkedIn [8]
Journal and Magazine Articles
T. Wirth and K.-J. Friederichs and R. Halfmann
and T. Haustein and B. Holfeld and M. Mehlhose and J. Pilz and D.
Wieruch (2016). Real-time demonstration of optimized spectrum usage
with LSA carrier aggregation [9]. Frequenz, Journal of
RF-Engineering and Telecommunications, vol. 70, no. 7, pp. 301-308,
July 2016, doi: 10.1515/freq-2015-0215
Conference, Symposium, and
Workshop Papers
Attar, M. Hossein and Taghizadeh, Omid and Chang,
Kaxin and Askar, Ramez and Mehlhose, Matthias and Stanczak, Slawomir
(2022). Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex
Transceivers with Nonlinearity [10]. 2022 IEEE 23rd International
Workshop on Signal Processing Advances in Wireless Communications
(SPAWC)
M. Mehlhose and D. A. Awan and R. L.G. Cavalcante
and M. Kurras and S. Stanczak (2020). Machine Learning-Based Adaptive
Receive Filtering: Proof-of-Concept on an SDR Platform [11].
accepted, IEEE International Conference on Communications (ICC),
Dublin, Ireland, 2020
M. Mehlhose and D. A. Awan and R. L.G. Cavalcante
and M. Kurras and S. Stanczak (2020). Machine Learning-Based Adaptive
Receive Filtering: Proof-of-Concept on an SDR Platform [12]. 45th
International Conference on Acoustics, Speech, and Signal Processing,
ICASSP 2020, May 4-8, 2020, Barcelona, Spain
T. Wirth and M. Mehlhose and L. Thiele and T.
Haustein (2017). Proof-of-Concept of Flexible Massive MIMO Beamforming
at 2.4 GHz [13]. Signals, Systems and Computers (Asilomar
Conference), Pacific Grove, CA, USA, Nov. 2017
T. Wirth and L. Thiele and M. Kurras and M.
Mehlhose and T. Haustein (2016). Massive mimo proof-of-concept:
Emulations and hardware-field trials at 3.5 ghz [14]. 50th
Asilomar Conference on Signals, Systems and Computers, pp.
1793–1798, Nov. 2016
J. Pilz and M. Mehlhose and T. Wirth and D.
Wieruch and B. Holfeld and T. Haustein (2016). A tactile internet
demonstration: 1ms ultra low delay for wireless communications towards
5g [15]. IEEE Conference on Computer Communications Workshops
(INFOCOM WKSHPS), pp. 862–863, April 2016
T. Wirth and M. Mehlhose and J. Pilz and B.
Holfeld and D. Wieruch (2016). 5G new radio and ultra low latency
applications: A PHY implementation perspective [16]. 50th
Asilomar Conference on Signals, Systems and Computers, pp.
1409–1413, Nov. 2016
T. Wirth and M. Mehlhose and J. Pilz and R.
Lindstedt and D. Wieruch and B. Holfeld and T. Haustein (2015). An
advanced hardware platform to verify 5g wireless communication
concepts [17]. 2015 IEEE 81st Vehicular Technology Conference
(VTC Spring), pp. 1–5, May 2015
M. Mehlhose and S. Schiffermüller (2009).
Efficient fixed-point implementation of linear equalization for
cooperative mimo systems [18]. 17th European Signal Processing
Conference, pp. 1479–1483, Aug 2009
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Contact
Matthias Mehlhose, M.Sc.
Fraunhofer Heinrich-Hertz-Institut
Einsteinufer 37
10587 Berlin
E-Mail-Anfrage [20]
------ Links: ------
[1]
http://www.netit.tu-berlin.de/fileadmin/fg314/bilde
r/LinkedFoto_Matthias_Mehlhose.jpg
[2]
https://www.hhi.fraunhofer.de/abteilungen/wn/projek
te/digitaltwin.html
[3]
https://www.hhi.fraunhofer.de/en/departments/wn/pro
jects/one5g.html
[4]
https://www.hhi.fraunhofer.de/en/departments/wn/pro
jects/midras.html
[5]
https://www.hhi.fraunhofer.de/en/departments/wn/res
earch-groups/signal-and-information-processing.html
[6]
https://www.researchgate.net/profile/Matthias_Mehlh
ose
[7]
https://scholar.google.de/citations?user=CY90fAkAAA
AJ&hl=de&oi=ao
[8]
https://de.linkedin.com/in/matthias-mehlhose-49a82a
121
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hlhose/parameter/de/font2/maxhilfe/?tx_sibibtex_pi1%5Bc
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[18]
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