Zobrazeno 1 - 10
of 1 138
pro vyhledávání: '"Molisch, Andreas F."'
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
Autor:
Ratnam, Vishnu V., Mo, Jianhua, AlAmmouri, Ahmad, Ng, Boon L., Jianzhong, Zhang, Molisch, Andreas F.
Publikováno v:
IEEE Access, vol. 10, pp. 73364-73377, 2022
Hybrid beamforming is an attractive solution to build cost-effective and energy-efficient transceivers for millimeter-wave and terahertz systems. However, conventional hybrid beamforming techniques rely on analog components that generate a frequency
Externí odkaz:
http://arxiv.org/abs/2312.11682
Autor:
Lee, Ju-Hyung, Molisch, Andreas F.
Large-scale channel prediction, i.e., estimation of the pathloss from geographical/morphological/building maps, is an essential component of wireless network planning. Ray tracing (RT)-based methods have been widely used for many years, but they requ
Externí odkaz:
http://arxiv.org/abs/2312.03950
Autor:
Pervej, Md Ferdous, Molisch, Andreas F
Video caching can significantly improve backhaul traffic congestion by locally storing the popular content that users frequently request. A privacy-preserving method is desirable to learn how users' demands change over time. As such, this paper propo
Externí odkaz:
http://arxiv.org/abs/2311.06918