Zobrazeno 1 - 10
of 1 152
pro vyhledávání: '"Molisch, Andreas F"'
Autor:
Hammoud, Hussein, Zhang, Yuning, Cheng, Zihang, Sangodoyin, Seun, Hofer, Markus, Pasic, Faruk, Pohl, Thomas M., Závorka, Radek, Prokes, Ales, Zemen, Thomas, Mecklenbräuker, Christoph F., Molisch, Andreas F.
The coordination of vehicles is a crucial element of autonomous driving, as it enhances the efficiency, convenience, and safety of road traffic. In order to fully exploit the capabilities of such coordination, communication with high data rate and lo
Externí odkaz:
http://arxiv.org/abs/2412.01165
Massive MIMO (mMIMO) systems are essential for 5G/6G networks to meet high throughput and reliability demands, with machine learning (ML)-based techniques, particularly autoencoders (AEs), showing promise for practical deployment. However, standard A
Externí odkaz:
http://arxiv.org/abs/2411.16971
Extreme resource constraints make large-scale machine learning (ML) with distributed clients challenging in wireless networks. On the one hand, large-scale ML requires massive information exchange between clients and server(s). On the other hand, the
Externí odkaz:
http://arxiv.org/abs/2411.06042
Achieving reliable multidimensional Vehicle-to-Vehicle (V2V) channel state information (CSI) prediction is both challenging and crucial for optimizing downstream tasks that depend on instantaneous CSI. This work extends traditional prediction approac
Externí odkaz:
http://arxiv.org/abs/2409.09978
Indoor localization is a challenging problem that - unlike outdoor localization - lacks a universal and robust solution. Machine Learning (ML), particularly Deep Learning (DL), methods have been investigated as a promising approach. Although such met
Externí odkaz:
http://arxiv.org/abs/2408.06452
While FL is a widely popular distributed ML strategy that protects data privacy, time-varying wireless network parameters and heterogeneous system configurations of the wireless device pose significant challenges. Although the limited radio and compu
Externí odkaz:
http://arxiv.org/abs/2408.05886
Autor:
Zemen, Thomas, Gomez-Ponce, Jorge, Chandra, Aniruddha, Walter, Michael, Aksoy, Enes, He, Ruisi, Matolak, David, Kim, Minseok, Takada, Jun-ichi, Salous, Sana, Valenzuela, Reinaldo, Molisch, Andreas F.
A site-specific radio channel representation (SSCR) takes the surroundings of the communication system into account by considering the environment geometry, including buildings, vegetation, and mobile objects with their material and surface propertie
Externí odkaz:
http://arxiv.org/abs/2406.09025
Autor:
Zhang, Yuning, Choi, Thomas, Cheng, Zihang, Gomez-Ponce, Jorge, Kanno, Issei, Ito, Masaaki, Molisch, Andreas F.
Cell-free massive MIMO (CF-mMIMO), where each user equipment (UE) is connected to multiple access points (APs), is emerging as an important component for 5G and 6G cellular systems. Accurate channel models based on measurements are required to optimi
Externí odkaz:
http://arxiv.org/abs/2406.01850
Autor:
Zhang, Yuning, Choi, Thomas, Cheng, Zihang, Kanno, Issei, Ito, Masaaki, Gomez-Ponce, Jorge, Hammoud, Hussein, Wu, Bowei, Pradhan, Ashwani, Arana, Kelvin, Krishna, Pramod, Yang, Tianyi, Chen, Tyler, Vasishtha, Ishita, Xie, Haoyu, Sun, Linyu, Molisch, Andreas F.
The design of cell-free massive MIMO (CF-mMIMO) systems requires accurate, measurement-based channel models. This paper provides the first results from the by far most extensive outdoor measurement campaign for CF-mMIMO channels in an urban environme
Externí odkaz:
http://arxiv.org/abs/2405.20617
Backhaul traffic congestion caused by the video traffic of a few popular files can be alleviated by storing the to-be-requested content at various levels in wireless video caching networks. Typically, content service providers (CSPs) own the content,
Externí odkaz:
http://arxiv.org/abs/2402.04216