Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daniyal Amir Awan"'
Autor:
Matthias Mehlhose, Guillermo Marcus, Daniel Schaufele, Daniyal Amir Awan, Nikolaus Binder, Martin Kasparick, Renato L. G. Cavalcante, Slawomir Stanczak, Alexander Keller
Publikováno v:
IEEE Access, Vol 10, Pp 70937-70946 (2022)
We have implemented a recently proposed partially linear multiuser detection algorithm in reproducing kernel Hilbert spaces (RKHSs) on a GPU-accelerated platform. Our proof of concept combines the robustness of linear detection and non-linear detecti
Externí odkaz:
https://doaj.org/article/5f62d5cbf89f4de8ac58bb3c1aea364c
Publikováno v:
IEEE Transactions on Signal Processing. 68:270-283
Learning of the cell-load in radio access networks (RANs) has to be performed within a short time period. Therefore, we propose a learning framework that is robust against uncertainties resulting from the need for learning based on a relatively small
Autor:
Slawomir Stanczak, Daniyal Amir Awan, Matthias Mehlhose, Martin Kurras, Renato L. G. Cavalcante
Publikováno v:
ICC
Conventional multiuser detection techniques either require a large number of antennas at the receiver for a desired performance, or they are too complex for practical implementation. Moreover, many of these techniques, such as successive interference
Publikováno v:
GlobalSIP
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Cloud-radio access network (C-RAN) can enable cell-less operation by connecting distributed remote radio heads (RRHs) via fronthaul links to a powerful central unit. In conventional C-RAN, baseband signals are forwarded after quantization/ compressio
Publikováno v:
ICC
Non-orthogonal multiple access (NOMA) has emerged as a promising radio access technique for enabling the performance enhancements promised by the fifth-generation (5G) networks in terms of connectivity, latency, and spectrum efficiency. In the NOMA u
Publikováno v:
ICASSP
We propose a learning algorithm for cell-load approximation in wireless networks. The proposed algorithm is robust in the sense that it is designed to cope with the uncertainty arising from a small number of training samples. This scenario is highly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50abcc640988ddea7a572108a6b5742e
Publikováno v:
GlobalSIP
In this study, we address the problem of minimizing the energy consumption in future 5G networks by means of a joint optimization of radio access network (RAN) and multi-hop wireless backhaul network. The objective of the optimization is to operate t