In IP Multimedia Subsystem (IMS), the session setup delay is a critical value for Quality of Service (QoS). The existing approaches to improve this metric depend on optimization of Session Initiation Protocol (SIP) me...In IP Multimedia Subsystem (IMS), the session setup delay is a critical value for Quality of Service (QoS). The existing approaches to improve this metric depend on optimization of Session Initiation Protocol (SIP) message transmitting and signaling flows. Unfortunately, some service features are missing considered al-though they have been used widely in traditional 2G networks. This paper proposes a novel session setup scheme based on caching, upon the investigation of the performance of IMS session establishment. This mechanism involves cache based local routing policy and an adaptive caching algorithm, which can decrease call setup delay effectively as cached information in the terminating Serving-Call Session Control Function (S-CSCF) hit. The analytical model is deduced, as well as the delay and cost ratio functions are presented based on the model. Moreover, the analytical model is validated through the performance simulation in which the performance of the proposed novel method is evaluated against the basic session setup mechanism in terms of cost and delay.展开更多
Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer preferences.Specifically,the most recent i...Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer preferences.Specifically,the most recent iteration of OpenAI’s large language model chat generative pre-trained transformer(ChatGPT)has the potential to propel innovation and bolster operational performance in the telecommunications sector.Nowadays,the exploration of network resource management,control,and operation is still in the initial stage.In this paper,we propose a novel network artificial intelligence architecture named language model for network traffic(NetLM),a large language model based on a transformer designed to understand sequence structures in the network packet data and capture their underlying dynamics.The continual convergence of knowledge space and artificial intelligence(AI)technologies constitutes the core of intelligent network management and control.Multi-modal representation learning is used to unify the multi-modal information of network indicator data,traffic data,and text data into the same feature space.Furthermore,a NetLM-based control policy generation framework is proposed to refine intent incrementally through different abstraction levels.Finally,some potential cases are provided that NetLM can benefit the telecom industry.展开更多
Penetration testing(PT)is an active method of evaluating the security of a network by simulating various types of cyber attacks in order to identify and exploit vulnerabilities.Traditional PT involves a time-consuming...Penetration testing(PT)is an active method of evaluating the security of a network by simulating various types of cyber attacks in order to identify and exploit vulnerabilities.Traditional PT involves a time-consuming and labor-intensive process that is prone to errors and cannot be easily formulated.Researchers have been investigating the potential of deep reinforcement learning(DRL)to develop automated PT(APT)tools.However,using DRL in APT is challenged by partial observability of the environment and the intractability problem of the huge action space.This paper introduces RLAPT,a novel DRL approach that directly overcomes these challenges and enables intelligent automation of the PT process with precise control.The proposed method exhibits superior efficiency,stability,and scalability in finding the optimal attacking policy on the simulated experiment scenario.展开更多
Core systemtechnology is a key factor in the next generation network(NGN).Adifference-less mobility management network is proposed to better support the mobility of an IP multimedia subsystem(IMS).This kind of network...Core systemtechnology is a key factor in the next generation network(NGN).Adifference-less mobility management network is proposed to better support the mobility of an IP multimedia subsystem(IMS).This kind of network can provide good service and user mobility,enabling local user access to the network anywhere.User location management and session creation are analyzed.The results show that under this network architecture,the cost of the user location registration and session creation is lower than that of the home control model employed by the IMS.展开更多
文摘In IP Multimedia Subsystem (IMS), the session setup delay is a critical value for Quality of Service (QoS). The existing approaches to improve this metric depend on optimization of Session Initiation Protocol (SIP) message transmitting and signaling flows. Unfortunately, some service features are missing considered al-though they have been used widely in traditional 2G networks. This paper proposes a novel session setup scheme based on caching, upon the investigation of the performance of IMS session establishment. This mechanism involves cache based local routing policy and an adaptive caching algorithm, which can decrease call setup delay effectively as cached information in the terminating Serving-Call Session Control Function (S-CSCF) hit. The analytical model is deduced, as well as the delay and cost ratio functions are presented based on the model. Moreover, the analytical model is validated through the performance simulation in which the performance of the proposed novel method is evaluated against the basic session setup mechanism in terms of cost and delay.
基金This work was supported by the National Natural Science Foundation of China under Grants of 62071067,62101064,62201072,62171057,and 62001054,Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center。
文摘Telecommunication has undergone significant transformations due to the continuous advancements in internet technology,mobile devices,competitive pricing,and changing customer preferences.Specifically,the most recent iteration of OpenAI’s large language model chat generative pre-trained transformer(ChatGPT)has the potential to propel innovation and bolster operational performance in the telecommunications sector.Nowadays,the exploration of network resource management,control,and operation is still in the initial stage.In this paper,we propose a novel network artificial intelligence architecture named language model for network traffic(NetLM),a large language model based on a transformer designed to understand sequence structures in the network packet data and capture their underlying dynamics.The continual convergence of knowledge space and artificial intelligence(AI)technologies constitutes the core of intelligent network management and control.Multi-modal representation learning is used to unify the multi-modal information of network indicator data,traffic data,and text data into the same feature space.Furthermore,a NetLM-based control policy generation framework is proposed to refine intent incrementally through different abstraction levels.Finally,some potential cases are provided that NetLM can benefit the telecom industry.
基金This work was supported by the National Key R&D Program of China under Grant 2020YFB1807503the National Natural Science Foundation of China under Grant U20A20156,Grant 62001087Grant 62201309.(Xiaotong Guo and Jing Ren contribute equally in this work.)The associate editor coordinating the review of this paper and approving it for publication was W.Zhang.
文摘Penetration testing(PT)is an active method of evaluating the security of a network by simulating various types of cyber attacks in order to identify and exploit vulnerabilities.Traditional PT involves a time-consuming and labor-intensive process that is prone to errors and cannot be easily formulated.Researchers have been investigating the potential of deep reinforcement learning(DRL)to develop automated PT(APT)tools.However,using DRL in APT is challenged by partial observability of the environment and the intractability problem of the huge action space.This paper introduces RLAPT,a novel DRL approach that directly overcomes these challenges and enables intelligent automation of the PT process with precise control.The proposed method exhibits superior efficiency,stability,and scalability in finding the optimal attacking policy on the simulated experiment scenario.
基金supported by the National Science Fund for Distinguished Young Scholars (No.60525110)the National Basic Research Program of China (Nos.2007CB307100,2007CB307103)+1 种基金the Program for New Century Excellent Talents in University (No.NCET-04-0111)the Development Fund Project for Electronic and Information Industry (Mobile Service and Application System Based on 3G).
文摘Core systemtechnology is a key factor in the next generation network(NGN).Adifference-less mobility management network is proposed to better support the mobility of an IP multimedia subsystem(IMS).This kind of network can provide good service and user mobility,enabling local user access to the network anywhere.User location management and session creation are analyzed.The results show that under this network architecture,the cost of the user location registration and session creation is lower than that of the home control model employed by the IMS.
