In accordance with the detecting process of multi-frequency signals between the offices in telephone networks, and in contrast with the autocorrelation method used to handle the multi-frequency signals, a fast, inexpe...In accordance with the detecting process of multi-frequency signals between the offices in telephone networks, and in contrast with the autocorrelation method used to handle the multi-frequency signals, a fast, inexpensive and unbiased of cumulants estimation method is adopted in detecting signals. This detecting method is better for resisting noise performance and more practical than the autocorrelation method.展开更多
Call drop is one of the most common problems encountered by ISP with PSTN access. In this pacer several reasons on server side that cause modem disconnection are analyzed. In the last part of this paper, some solution...Call drop is one of the most common problems encountered by ISP with PSTN access. In this pacer several reasons on server side that cause modem disconnection are analyzed. In the last part of this paper, some solutions are Put forward to reduce call drop rate.展开更多
Robo or unsolicited calls have become a persistent issue in telecommunication networks,posing significant challenges to individuals,businesses,and regulatory authorities.These calls not only trick users into disclosin...Robo or unsolicited calls have become a persistent issue in telecommunication networks,posing significant challenges to individuals,businesses,and regulatory authorities.These calls not only trick users into disclosing their private and financial information,but also affect their productivity through unwanted phone ringing.A proactive approach to identify and block such unsolicited calls is essential to protect users and service providers from potential harm.Therein,this paper proposes a solution to identify robo-callers in the telephony network utilising a set of novel features to evaluate the trustworthiness of callers in a network.The trust score of the callers is then used along with machine learning models to classify them as legitimate or robo-caller.We use a large anonymized dataset(call detailed records)from a large telecommunication provider containing more than 1 billion records collected over 10 days.We have conducted extensive evaluation demonstrating that the proposed approach achieves high accuracy and detection rate whilst minimizing the error rate.Specifically,the proposed features when used collectively achieve a true-positive rate of around 97%with a false-positive rate of less than 0.01%.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
in order to project a reliable telecommunication network ,we have to measure the call lossrate of present traffic and to predzct the traffic of hajective network. In this paper we point out that afactor of real commun...in order to project a reliable telecommunication network ,we have to measure the call lossrate of present traffic and to predzct the traffic of hajective network. In this paper we point out that afactor of real communication needs for subscrihas should be added in studying the traffic source char-acterization. Generally, the predicted traffic does not equal to the real demends, Considered asubscriber's psychological facter for attempts in busy-hour, a mathematical medel of probable dertva-tive calls from each real communication demand is given,with which the calling-up probabity, andthe repeating attempt probability of original subscribers on line occupation are calculated and the rela-tionship between the traffic and the real cammunication need is predicted.展开更多
文摘In accordance with the detecting process of multi-frequency signals between the offices in telephone networks, and in contrast with the autocorrelation method used to handle the multi-frequency signals, a fast, inexpensive and unbiased of cumulants estimation method is adopted in detecting signals. This detecting method is better for resisting noise performance and more practical than the autocorrelation method.
文摘Call drop is one of the most common problems encountered by ISP with PSTN access. In this pacer several reasons on server side that cause modem disconnection are analyzed. In the last part of this paper, some solutions are Put forward to reduce call drop rate.
文摘Robo or unsolicited calls have become a persistent issue in telecommunication networks,posing significant challenges to individuals,businesses,and regulatory authorities.These calls not only trick users into disclosing their private and financial information,but also affect their productivity through unwanted phone ringing.A proactive approach to identify and block such unsolicited calls is essential to protect users and service providers from potential harm.Therein,this paper proposes a solution to identify robo-callers in the telephony network utilising a set of novel features to evaluate the trustworthiness of callers in a network.The trust score of the callers is then used along with machine learning models to classify them as legitimate or robo-caller.We use a large anonymized dataset(call detailed records)from a large telecommunication provider containing more than 1 billion records collected over 10 days.We have conducted extensive evaluation demonstrating that the proposed approach achieves high accuracy and detection rate whilst minimizing the error rate.Specifically,the proposed features when used collectively achieve a true-positive rate of around 97%with a false-positive rate of less than 0.01%.
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.
文摘in order to project a reliable telecommunication network ,we have to measure the call lossrate of present traffic and to predzct the traffic of hajective network. In this paper we point out that afactor of real communication needs for subscrihas should be added in studying the traffic source char-acterization. Generally, the predicted traffic does not equal to the real demends, Considered asubscriber's psychological facter for attempts in busy-hour, a mathematical medel of probable dertva-tive calls from each real communication demand is given,with which the calling-up probabity, andthe repeating attempt probability of original subscribers on line occupation are calculated and the rela-tionship between the traffic and the real cammunication need is predicted.
