Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Carsten Bockelmann"'
Publikováno v:
Sensors, Vol 23, Iss 14, p 6347 (2023)
Motivated by the recent success of Machine Learning (ML) tools in wireless communications, the idea of semantic communication by Weaver from 1949 has gained attention. It breaks with Shannon’s classic design paradigm by aiming to transmit the meani
Externí odkaz:
https://doaj.org/article/52a172b5fb244ee8ade19ffccce3a2d4
Publikováno v:
IEEE Access, Vol 8, Pp 180928-180954 (2020)
Massive machine-type communications (mMTC) is one of the key application scenarios of fifth generation (5G) and beyond cellular networks. Bringing the unique technical challenge of supporting a huge number of MTC devices (MTCD) in cellular networks,
Externí odkaz:
https://doaj.org/article/8ef73f09b62747bea0f61662ca6ca17b
Autor:
Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder, Stephan Saur, Monica Navarro, David Gregoratti, Guillaume Vivier, Elisabeth De Carvalho, Yalei Ji, Cedomir Stefanovic, Petar Popovski, Qi Wang, Malte Schellmann, Evangelos Kosmatos, Panagiotis Demestichas, Miruna Raceala-Motoc, Peter Jung, Slawomir Stanczak, Armin Dekorsy
Publikováno v:
IEEE Access, Vol 6, Pp 28969-28992 (2018)
The fifth generation of cellular communication systems is foreseen to enable a multitude of new applications and use cases with very different requirements. A new 5G multi-service air interface needs to enhance broadband performance as well as provid
Externí odkaz:
https://doaj.org/article/c302e289d8234593a8b80feee08a800d
The quality of data driven learning algorithms scales significantly with the quality of data available. One of the most straight-forward ways to generate good data is to sample or explore the data source intelligently. Smart sampling can reduce the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431242a00503795f75a3c2730010d22a
http://arxiv.org/abs/2304.10860
http://arxiv.org/abs/2304.10860
Questions remain on the robustness of data-driven learning methods when crossing the gap from simulation to reality. We utilize weight anchoring, a method known from continual learning, to cultivate and fixate desired behavior in Neural Networks. Wei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa73a5b8b9e1e987741f3a574e7804d
http://arxiv.org/abs/2304.10176
http://arxiv.org/abs/2304.10176
Advances in mobile communication capabilities open the door for closer integration of pre-hospital and in-hospital care processes. For example, medical specialists can be enabled to guide on-site paramedics and can, in turn, be supplied with live vit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4f87397a2d9f5a36ce88d381352951a
http://arxiv.org/abs/2304.09488
http://arxiv.org/abs/2304.09488
Autor:
Ralf B. Bergmann, Andreas Fischer, Carsten Bockelmann, Armin Dekorsy, Alberto Garcia-Ortiz, Claas Falldorf
Publikováno v:
tm - Technisches Messen. 89:397-412
The coherence function offers new possibilities for optical metrology that are not available with conventional wave field sensing. Its measurement involves a spatio-temporal sampling of the wave fields modulated by the object under investigation. Tem
Publikováno v:
2022 IEEE Globecom Workshops (GC Wkshps).
Publikováno v:
2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC).
Publikováno v:
2022 IEEE Wireless Communications and Networking Conference (WCNC).
Greater capabilities of mobile communications technology enable interconnection of on-site medical care at a scale previously unavailable. However, embedding such critical, demanding tasks into the already complex infrastructure of mobile communicati