In this paper, we propose a novel AIenabled space-air-ground integrated networks(SAGIN). This new integrated networks architecture consists of LEO satellites and civil aircrafts carrying aerial base stations, called &...In this paper, we propose a novel AIenabled space-air-ground integrated networks(SAGIN). This new integrated networks architecture consists of LEO satellites and civil aircrafts carrying aerial base stations, called "civil aircraft assisted SAGIN(CAA-SAGIN)". The assistance of civil aircrafts can reduce the stress of satellite networks, improve the performance of SAGIN, decrease the construction cost and save space resources. Taking the Chinese mainland as an example, this paper has analyzed the distribution of civil aircrafts, and obtained the coverage characteristics of civil aircraft assisted networks(CAAN). Taking Starlink as the benchmark, this paper has calculated the service gap of CAAN, and designed the joint coverage constellation. The simulation results prove that the number of satellites in CAASAGIN can be greatly reduced with the assistance of civil aircrafts at the same data rate.展开更多
The first and foremost task of communication network planning is macro forecasting to theservice volume ,and the quality of planning ultimately depends upon the accuracy of forecasting. Theconventional methods usuall...The first and foremost task of communication network planning is macro forecasting to theservice volume ,and the quality of planning ultimately depends upon the accuracy of forecasting. Theconventional methods usually as forecasting model are increase rate method, time sequence extensionmethod, regression correlation analysis method. However, nowadays in market economy drvelopingstage ,to meet the vigorous demand, communication servtice business, particularly the telecommunicationservice is drveloping rapidly such that forcasting by the conventional method fails achieve the goalfavourably. Thus we should emancipate our mind thinking deeply into the communication conoiationand the method of forecasting. To this end ,the author exploited the laiter ,introducing GM(1, 1) modelas forcastzng means. Comparint with the forecasting results from several other niodels the GM(1.1)has better reliability. Is has been put into practice in many urban telecomrnunication network planning. Allresults obtatned are desirable.展开更多
基金supported by National Nature Science Foundation of China (No. 61871155)。
文摘In this paper, we propose a novel AIenabled space-air-ground integrated networks(SAGIN). This new integrated networks architecture consists of LEO satellites and civil aircrafts carrying aerial base stations, called "civil aircraft assisted SAGIN(CAA-SAGIN)". The assistance of civil aircrafts can reduce the stress of satellite networks, improve the performance of SAGIN, decrease the construction cost and save space resources. Taking the Chinese mainland as an example, this paper has analyzed the distribution of civil aircrafts, and obtained the coverage characteristics of civil aircraft assisted networks(CAAN). Taking Starlink as the benchmark, this paper has calculated the service gap of CAAN, and designed the joint coverage constellation. The simulation results prove that the number of satellites in CAASAGIN can be greatly reduced with the assistance of civil aircrafts at the same data rate.
文摘The first and foremost task of communication network planning is macro forecasting to theservice volume ,and the quality of planning ultimately depends upon the accuracy of forecasting. Theconventional methods usually as forecasting model are increase rate method, time sequence extensionmethod, regression correlation analysis method. However, nowadays in market economy drvelopingstage ,to meet the vigorous demand, communication servtice business, particularly the telecommunicationservice is drveloping rapidly such that forcasting by the conventional method fails achieve the goalfavourably. Thus we should emancipate our mind thinking deeply into the communication conoiationand the method of forecasting. To this end ,the author exploited the laiter ,introducing GM(1, 1) modelas forcastzng means. Comparint with the forecasting results from several other niodels the GM(1.1)has better reliability. Is has been put into practice in many urban telecomrnunication network planning. Allresults obtatned are desirable.
