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of 8
pro vyhledávání: '"Mross, Marcel A."'
Autor:
Brüche, Larissa, Mross, Marcel A., Zhao, Yaning, Labidi, Wafa, Deppe, Christian, Jorswieck, Eduard A.
There is a growing interest in models that extend beyond Shannon's classical transmission scheme, renowned for its channel capacity formula $C$. One such promising direction is message identification via channels, introduced by Ahlswede and Dueck. Un
Externí odkaz:
http://arxiv.org/abs/2407.04582
This work considers an asynchronous $\textsf{K}_\text{a}$-active-user unsourced multiple access channel (AUMAC) with the worst-case asynchronicity. The transmitted messages must be decoded within $n$ channel uses, while some codewords are not complet
Externí odkaz:
http://arxiv.org/abs/2401.14265
We consider a two-user Gaussian interference channel with heterogeneous blocklength constraints (HB-GIC), strong interference, and two private messages. We propose to apply the successive interference cancellation with early decoding, i.e., decoding
Externí odkaz:
http://arxiv.org/abs/2311.09711
We investigate novel inner and outer bounds on the rate region of a 2-user Gaussian broadcast channel with finite, heterogeneous blocklength constraints (HB-GBC). In particular, we introduce a new, modified Sato-type outer bound that can be applied i
Externí odkaz:
http://arxiv.org/abs/2202.02110
Future wireless access networks aim to simultaneously support a large number of devices with heterogeneous service requirements, including data rates, error rates, and latencies. While achievable rate and capacity results exist for Gaussian broadcast
Externí odkaz:
http://arxiv.org/abs/2109.07767
In this work we address the task of observing the performance of a semantic segmentation deep neural network (DNN) during online operation, i.e., during inference, which is of high importance in safety-critical applications such as autonomous driving
Externí odkaz:
http://arxiv.org/abs/2104.05255
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