학술논문

Location based Context Awareness with Multipoint Transmission by ELAML Algorithm
Document Type
Conference
Source
2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS) Artificial Intelligence and Smart Energy (ICAIS), 2023 Third International Conference on. :1421-1425 Feb, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Location awareness
Base stations
Wireless sensor networks
Machine learning algorithms
Wireless networks
Machine learning
Context awareness
5G
mmWave communication
machine learning
navigational network locators
Enhanced Location Awareness Machine Learning
Language
Abstract
Wireless network and Communication engineers have a query that when, where and how mmWave will be used in volte+ network? The future generation network depends on multiple speed Radio Access Technology (RAT), but it makes use of different access in downlink with multipoint transmission in the presence of multilink distributed wireless channel information. Context awareness means that systems can sense and react their environment based on location which is capable of identifying nearest network locator. The location of particular system in a distributed network can be determined by Navigational Network Locator (NNL). Next, Vehicular Systems demand high data transfer links of mmWave communication. By the Convolution Neural Networks, it passes the result to the upcoming vehicular signal and multiple links shares the data to all mobile networks. The Enhanced Location Awareness Machine Learning (ELAML) combined with Mobile Edge Computing (MEC) technologies to enable multiple links ultra-high speed data downloads. The real-world implementations of Location based machine learning network architecture using traffic patterns are identified. The main aim of this research paper is about implementing multiple ultra-high data rate with volte+ mmWave vehicular network.