Network Audio Data and Music Composition Teaching Based on Heterogeneous Cellular Network

• Published in: Computational intelligence and neuroscience Vol. 2022; pp. 1 - 12
• Main Author: Zhang, Qi
• Format: Journal Article
• Language: English
• Published: New York Hindawi 13.06.2022; John Wiley & Sons, Inc
• Subjects: Algorithms; Audio data; Background noise; Cellular communication; Communication; Composition; Computer architecture; Data acquisition; Data acquisition systems; Data processing; Data transmission; Decision trees; Distance learning; Education; Energy consumption; Energy efficiency; Energy management; Graph theory; Internet; Internet of Vehicles; Linux; Mathematical optimization; Multilayers; Music; Music education; Music in education; Musical instruments; Networks; Nodes; Optimization; Pattern recognition; Performance evaluation; Power; Power consumption; Relay; Resource allocation; Signal processing; Social networks; Software; Systems design; Teaching; Telecommunication systems; Voice recognition
• DOI: 10.1155/2022/9329856
• ISSN: 1687-5265; 1687-5273

With the rapid development of services such as Industry 4.0 and Internet of Vehicles, it is difficult for traditional cellular networks to meet the needs of network users for quantification, diversification, and greenness in the future. Various cellular networks expand multiple micro-cell nodes and relay nodes under macro-cells to form a multilayer network architecture. Based on this, in the process of data transmission, the links have been repeatedly reduced, and at the same time, the terminal power consumption has been reduced and the running system has been improved. This article will use the ratio of the capacity, energy consumption, and resource allocation of different cellular networks as the main means to optimize the cost. Using graph theory, auction theory, and multipurpose optimization algorithms, we have conducted in-depth research topics on upstream and downstream wireless resource allocation, network relay deployment and transmission scheduling, MMW large-scale multi-antenna transmission technology, and base station energy management. A series of optimization schemes and algorithms are proposed. This dissertation is based on the research of educational system design theory in the field of educational technology so as to carry out the research of music education system design theory suitable for the nature of music subjects and learning and education characteristics. Based on the necessity and importance of music education system design theory, the research framework of music education system design theory is constructed in advance. The voice data acquisition system collects voice data through a network grabber and real-time recording and uses signal processing and pattern recognition technology to automatically classify the collected voice data into three categories: voice, environmental sound, and music. After establishing the audio data deployment strategy, simulation method, and architecture design based on heterogeneous cellular network, this paper designs the corresponding music composition teaching system, mainly including score editing, viewing, and content display of the composition teaching system, and the final test shows that the system designed in this paper can be effectively used in various music school teaching combined with heterogeneous cellular networks.