Results 41 to 50 of about 184 (122)
Review of Indoor Positioning: Radio Wave Technology
The indoor positioning system (IPS) is becoming increasing important in accurately determining the locations of objects by the utilization of micro-electro-mechanical-systems (MEMS) involving smartphone sensors, embedded sources, mapping localizations ...
Tan Kim Geok +8 more
doaj +1 more source
Eficiencia de sistemas multiantena MU–MIMO por simulaciones de radiopropagación
El presente artículo tiene como propósito realizar la descripción de los resultados de simulación de radiopropagación con una antena MU{MIMO (4x4) en una red LTE (del inglés Long Term Evolution), con el fin de establecer su eciencia respecto a una antena
Javier Enrique Arévalo Peña
doaj +1 more source
Dynamic adaptive streaming over HTTP (DASH) has emerged as a foundational technology for video delivery over heterogeneous networks, particularly within 5G environments characterized by high bandwidth variability, ultralow‐latency requirements, and dense mobility patterns.
Aref Shaheed +3 more
wiley +1 more source
Insights Into Modulation and Coding Scheme in Mobile Communication
With the growing demand for mobile communications and the advancement of technology, reducing energy consumption has become a critical challenge. Overservice, which leads to unnecessary energy waste, is attracting significant attention from both academia and industry. An optimized modulation and coding scheme (MCS) can reduce the energy consumption per
Jing Liu +4 more
wiley +1 more source
ABSTRACT ZraS is a metal sensor integral to ZraPSR, a two‐component signaling system found in enterobacters. It belongs to a family of bifunctional sensor histidine kinases (SHKs) and is speculated to sense zinc‐induced stress on the bacterial envelope.
Nilima Mahapatra +3 more
wiley +1 more source
We introduce a fully distributed framework that leverages belief‐desire‐intention extended (BDIx) agents on user devices to perform dynamic clustering and access‐point selection in a cell‐free 6G network, using both classical and deep‐learning methods for deterministic, scalable AP grouping.
Iakovos Ioannou +5 more
wiley +1 more source
Machine learning approach of multi‐RAT selection for travelling users in 5G NSA networks
The authors present RAT selection algorithm for efficient resource allocation for public bus travelling user(s), utilising live data from multiple 5G NSA base stations. Models of the supervised machine learning algorithms: SVM, DNN and XGBoost were deployed for implementation to predict or select the appropriate RAT between 4G and 5G RATs.
Nurudeen O. Salau +2 more
wiley +1 more source
Federated Learning for Intelligent Sensing and Navigation Technologies for 6G Communications
Integrated sensing and communication (ISC) is a crucial technology for sixth‐generation (6G) networks, enabling the real‐time sensing and transmission of data for latency‐sensitive applications. However, device heterogeneity and asynchronous sensing intervals pose severe threats to resource allocation and data availability.
Taher M. Ghazal, Deepali
wiley +1 more source
Advancements in wireless communication technology have enabled more efficient data transfer, but antenna selection remains a critical factor in determining the performance of communication systems.
Rapha Nichita Kaikatui, Marsujitullah
doaj +1 more source
Abstract - The rapid growth of cellular communication technology necessitates fast and stable internet connections. This research addresses the limited studies on 5G network performance in Surakarta City, which is experiencing increased demand for reliable internet access. We employed a drive test method using the G-Net Track Pro application to measure
Dito Tobmuti, Eriwien Christianto
openaire +1 more source

