In the age of information explosion, the number of network packets generated every day is monotonically increasing. In order to analyze valuable data and improve the storage performance of traffic acquisition systems,...
详细信息
ISBN:
(纸本)9781665464222
In the age of information explosion, the number of network packets generated every day is monotonically increasing. In order to analyze valuable data and improve the storage performance of traffic acquisition systems, a high-performance data processing system architecture is needed. In this paper, we propose designing a high-speeddata acquisition system based on data characteristics and comparing the features and capabilities of standard memory management methods. In addition, we propose a length-adaptive memory management framework based on a hot-colddomain structure. We conclude that this system architecture is experimentally proven to have reasonable practicality and usability.
Cellular traffic prediction is an important problem in the field of communication management. In this paper, a cellular traffic prediction method CTSTN based on spatio-temporal learning is designed combining Transform...
详细信息
ISBN:
(数字)9798350356328
ISBN:
(纸本)9798350356335
Cellular traffic prediction is an important problem in the field of communication management. In this paper, a cellular traffic prediction method CTSTN based on spatio-temporal learning is designed combining Transformer and Conditional Variational Auto-Encoder (CVAE). This paper explores the application of CVAE in the spatial states modeling and generating of cellular traffic data, constructs a spatial states dataset from the raw dataset, anddesigns an S-CVAE module to learn spatial characteristics of traffic data. Meanwhile, the Transformer is used to model temporal features of cellular traffic data. We conduct experiments and analyses on CTSTN and its sub-modules on real datasets. The results show the effectiveness of applying CVAE to spatial status prediction and validate the accuracy of CTSTN predictions.
Faced with the rapid growth of network traffic in the development of wireless network. To guarantee a better user experience in wireless network, the accurate and timely estimation of traffic is becoming more importan...
详细信息
ISBN:
(数字)9781728160245
ISBN:
(纸本)9781728160252
Faced with the rapid growth of network traffic in the development of wireless network. To guarantee a better user experience in wireless network, the accurate and timely estimation of traffic is becoming more important. It is necessary to expand the network capabilities of 4G cells reasonably according to the future traffic growth trend of the cell. However, some cells face the traffic demand of small-scale users, which is more easily disturbed by seasonal changes and irregular factors than by a traditional traffic forecast. In this paper, we use the additive model of Bayesian seasonal adjustment algorithm to decompose the historical monthly traffic into trend, season, and irregular components. Finally, we use three models to predict the components and sum the predictedresults to get the monthly traffic prediction results. The results show that the proposed method is reasonable and effective. The prediction results have been applied to the decision-making of expansion of 4G network.
At present, LTE network quality analysis is mainly based on drive Test (dT) and Call Quality Test (CQT). Both methods require a large number of professional networkoptimization engineers and testing equipment. The te...
详细信息
ISBN:
(数字)9781728141114
ISBN:
(纸本)9781728141121
At present, LTE network quality analysis is mainly based on drive Test (dT) and Call Quality Test (CQT). Both methods require a large number of professional networkoptimization engineers and testing equipment. The testing methods cost a lot of time and money, and they cannot diagnose the causes of LTE network quality difference in time, which seriously affects customer perception. In this paper, a method of LTE network quality analysis based on Measurement report (Mr) data and XGBoost classification algorithm is proposed to quickly diagnose the cause of poor quality network. This method can effectively and comprehensively reflect customer perception. It can provide useful information fornetworkoptimization. It greatly improves the efficiency of networkoptimization engineers, andreduces a large number of labor costs.
Concurrent engineering (CE) is a proven approach for product realization that results in reduced time to bring a product to market, improved product and service quality, andreduced life-cycle costs. Time-to-market im...
详细信息
Concurrent engineering (CE) is a proven approach for product realization that results in reduced time to bring a product to market, improved product and service quality, andreduced life-cycle costs. Time-to-market improvements of 30% to 60% are typical of a disciplined approach to concurrent engineering. Concurrent engineering integrates and synchronizes activities and the information required to define, design, produce, deliver the product or service, and to maintain the product or service over its life cycle. This paperreaches beyond a simple explanation of CE and provides examples of how powerful CE implementations can be. The paper: describes the elements of an infrastructure and supporting technologies for a CE-based product realization process (PrP), Provides guidance fordeploying CE by explaining a broad-based CE implementation process, and Shares tips and ideas on how an individual or small team can catalyze CE in an organization.
暂无评论