Zobrazeno 1 - 10
of 232
pro vyhledávání: '"Lars K. Rasmussen"'
Publikováno v:
IEEE Access, Vol 7, Pp 46931-46946 (2019)
Discontinuous reception (DRX) techniques have successfully been proposed for energy savings in 4G radio access systems, which are deployed on legacy 2GHz spectrum bands with signal features of omni-directional propagation. In upcoming 5G systems, hig
Externí odkaz:
https://doaj.org/article/64774e5346234a0696d1887e7720f5ab
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:1069-1078
In this article, we investigate the jointly optimized resource allocation with hybrid multiple access in energy-efficient industrial Internet of Things (IIoT), where some devices (e.g., those for critical control devices) have higher transmission pri
Publikováno v:
Signal Processing. 156:1-11
We investigate an existing distributed algorithm for learning sparse signals or data over networks. The algorithm is iterative and exchanges intermediate estimates of a sparse signal over a network. This learning strategy using exchange of intermedia
Publikováno v:
IEEE Internet of Things Journal. 6:230-238
In this paper, an intelligently cooperative communication network with cognitive users is considered, where in a primary system and a secondary system, respectively, a message is communicated to their respective receiver over a packet-based wireless
Autor:
Alejandro, Castán, Ramón, Badorrey, José A, Díez, Claus T, Christoffersen, Lars K, Rasmussen, Jan, Kehler, Ralf, Köhler, José A, Gálvez, María D, Díaz-de-Villegas
Publikováno v:
The Journal of organic chemistry. 85(9)
Two series of novel chiral hexahydro-2
Publikováno v:
ICC
In this paper, we study the characteristics of dominant interference power with directional reception in a random network modelled by a Poisson Point Process. Additionally, the Laplace functional of cumulative interference excluding the $n$ dominant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c45356a7904d7f627c8e20d850a6dc98
http://arxiv.org/abs/2003.01433
http://arxiv.org/abs/2003.01433
Empirical results show that spatial factors such as distance, population density and communication range affect our social activities, also reflected by the development of ties in social networks. This motivates the need for social network models tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be258ec974cce883f760f303ff1a3c78
Publikováno v:
IEEE Transactions on Signal and Information Processing over Networks. 4:424-435
In this paper, we develop a greedy algorithm for solving the problem of sparse learning over a right stochastic network in a distributed manner. The nodes iteratively estimate the sparse signal by exchanging a weighted version of their individual int
Publikováno v:
IEEE Wireless Communications Letters. 7:312-315
The problem of quantizing a circularly-symmetric complex Gaussian random variable is considered. For this purpose, we design two non-uniform quantizers, a high-rate-, and a Lloyd-Max-, quantizer that are both based on the (golden angle) spiral-phyllo
Publikováno v:
Signal Processing. 139:36-48
We develop an iterative CS reconstruction algorithm based on fusion of CS algorithms.We theoretically analyze convergence and performance of this algorithm (gFACS).Convergence of gFACS widens the scope of developing new CS reconstruction algorithms.S