移动互联网业务能力开放研究

移动互联网业务是通信领域最具发展潜力的业务,通过构建移动互联网业务能力开放环境,将移动网络特有元素通过API形式开放,可促进移动、互联网元素的融合,构建具有差异化的移动互联网业务。本文对移动业务能力开放关键特征和要素进行了分析,提出基于Mashup技术实现移动、互联网元素融合的业务能力开放平台,并结合能力开放平台通过移动互联网差异化应用案例进行验证分析。     

电信级QoS保障下VoLTE的优势分析

移动互联网时代已经全面来临,而运营商在语音等传统业务上正遭受到基于互联网的OTT语音通信的冲击。介绍了VoLTE业务实现的网络架构和关键的业务流程,并通过QoS保障机制的分析,阐明了VoLTE相比于OTT语音的优势,指出能提供电信级QoS保障及丰富应用的VoLTE将成为4G网络中能与OTT语音抗衡的业务形式。     

面向移动互联网的下一代综合业务平台

移动互联网增值业务快速发展,对传统的业务定义方式提出了挑战．3GPP等标准组织从业务定义转向了业务能力的定义。并通过业务能力的标准接口开放支撑第三方移动互联网增值业务的发展。对3GPP、SDP、OMA等标准组织对业务网络架构体系分析人手,阐述了为何引入业务网络的概念,并结合标准的分析．对业务网络的体系架构进行了研究。     

移动互联网网络协同的融合策略控制研究

本文致力于移动互联网络的服务质量优化和管理。通过对网络新技术和新架构的分析,针对2G/3G/LTE/WLAN多网络环境下,研究对不同的用户类型、业务类型、时间段、时长进行QoS和流量、带宽的控制,提升业务体验和用户满意度的方法。从网络整体来看,可以通过端到端的流量管控技术提升互联网带宽的使用率,实施网络流量控制、均匀网络流量、降低并有效控制流量峰值,合理配置网络、合理有效控制网络投资,实现网络协同,为移动互联网业务发展创造条件。文中通过对移动互联网的特点和未来发展的分析,基于PCC承载架构,提出了致力于移动互联网网络协同的融合策略控制方案,为移动互联网时代应对数字洪水做好充分的技术储备。     

面向移动互联网的下一代综合业务平台

移动互联网增值业务快速发展,对传统的业务定义方式提出了挑战,3GPP等标准组织从业务定义转向了业务能力的定义,并通过业务能力的标准接口开放支撑第三方移动互联网增值业务的发展。对3GPP、SDP、OMA等标准组织对业务网络架构体系分析入手,阐述了为何引入业务网络的概念,并结合标准的分析,对业务网络的体系架构进行了研究。     

4G视频业务用户感知评估体系研究

4G业务的规模商用,视频点播作为极具潜力的移动互联网业务,其业务性能管理工作是运营商网络优化的重要工作内容。以4G网络中热门的视频业务为切入点,结合视频点播原理,通过模拟感知测试、实时信令跟踪、信令解码重组等多种手段进行分析研究。深度识别视频业务信令交互过程中的关键信息元素,对深度解析得到的关键字段、码流进行机器学习、关联聚类,构建出一套简单可行、贴近用户实际感知的视频业务关键质量指标体系。     

移动互联网数据业务QoS优化与控制研究

本文立足于未来移动互联网,致力于高速移动互联网网络的服务质量优化和管理。通过对网络新技术和新架构的分析,研究针对不同的网络、用户类型、业务类型、时间段、时长进行QoS和流量、带宽的控制,提升业务体验和用户满意度的方法;同时提升互联网带宽的使用率,实施网络流量控制、均匀网络流量、降低并有效控制流量峰值,合理配置网络、合理有效控制网络投资,为高速数据业务发展创造条件。文中通过对移动互联网的特点和未来发展的分析,基于DPI业务感知技术及PCC承载架构,提出了移动互联网QoS的优化和控制方案,为高速移动互联网时代做好充分的技术储备。     

移动互联网技术及其业务发展探究

现阶段移动互联网技术推动了通信产业的不断发展,无线通信产业占据着至关重要的地位。从最开始的短信业务发展到今天的移动微博、移动游戏、移动定位等新业务,移动互联网业务被越来越多的手机网民所喜爱,作为一种移动终端,其已深入影响人们的日常生活。文章首先对移动互联网技术进行了概述,然后对移动互联网技术以及它的发展趋势进行了简单的分析,最后与移动互联网技术的特点相结合对一些典型业务的应用进行了探讨与分析。     

面向移动互联网的融合内容分发网络总体架构设计

移动互联网的迅猛发展对大规模内容分发提出了新的要求。本文根据移动互联网中内容分发网络面临的问题和需求,提出了一种面向移动互联网的融合内容分发网络总体架构,包括主体功能、总体部署方案和分域部署方案,并给出了融合内容分发网络的典型业务流程,分析了其实现的关键技术和架构优势。     

基于综合网关的移动互联网缓存新方案

针对现有互联网缓存用于移动互联网业务时存在的问题,提出一种全新的基于综合网关实现的移动互联网缓存方案,给出其组网架构和业务流程,分析其部署的优势,并通过现网实施评估综合网关缓存的运行效果,在此基础上探讨缓存运营的发展方向.     

Mobile flow-aware networks for mobility and QoS support in the IP-based wireless networks

As the volume of mobile traffic consisting of video, voice, and data is rapidly expanding, a challenge remains with the mobile transport network, which must deliver data traffic to mobile devices without degrading the service quality. Since every Internet service holds its own service quality requirements, the flow-aware traffic management in fine granularity has been widely investigated to guarantee Quality of Service (QoS) in the IP networks. However, the mobile flow-aware management has not been sufficiently developed yet because of the inherent constraints of flow routing in the mobile networks regarding flow-aware mobility and QoS support. In this paper, we propose a flow-aware mobility and QoS support scheme called mobile flow-aware network (MFAN) for IP-based wireless mobile networks. The proposed scheme consists of dynamic handoff mechanisms based on QoS requirements per flow to reduce the processing overhead of the flow router while ensuring QoS guarantee to mobile flows. The performance analyses of the proposed scheme demonstrate that MFAN successfully supports the mobile flow traffic delivery while satisfying the QoS requirement of flows in the wireless mobile IP networks.     

移动数据业务流量经营策略分析

本文首先分析了移动数据业务流量经营的背景,然后提出了流量经营的思路,即4个维度"降成本、提价值、保质量、促增长"和两个渠道"网络渠道、市场渠道",并详细分析了流量经营的方法策略,从而为移动运营商的移动数据业务运营提供了参考策略和指导建议。     

移动互联网信息挖掘的实现及应用浅析

在分析移动互联网数据业务需求的基础上,重点阐述了移动互联网数据挖掘的流程和热点技术,最后从针对性业务推荐、定向广告等方面介绍了移动互联网信息挖掘的实现及应用。     

Method of data cleaning for network traffic classification

Network traffic classification aims at identifying the application types of network packets. It is important for Internet service providers （ISPs） to manage bandwidth resources and ensure the quality of service for different network applications However, most classification techniques using machine learning only focus on high flow accuracy and ignore byte accuracy. The classifier would obtain low classification performance for elephant flows as the imbalance between elephant flows and mice flows on Internet. The elephant flows, however, consume much more bandwidth than mice flows. When the classifier is deployed for traffic policing, the network management system cannot penalize elephant flows and avoid network congestion effectively. This article explores the factors related to low byte accuracy, and secondly, it presents a new traffic classification method to improve byte accuracy at the aid of data cleaning. Experiments are carried out on three groups of real-world traffic datasets, and the method is compared with existing work on the performance of improving byte accuracy. Experiment shows that byte accuracy increased by about 22.31% on average. The method outperforms the existing one in most cases.     

A service level model and Internet mobility monitor

Mobility is gaining a tremendous interest among Internet users and wireless access networks are increasingly being installed to enable mobile usage. Internet mobility requires solutions to move between access networks with maintained network connectivity. Seamless mobility in turn means that the experience of using a service is unaffected while being mobile. Communication in next generation networks will use multiple access technologies, creating a heterogeneous network environment. Further, roaming between network service providers may take place. To enable mobile nodes to move between access networks within as well as between network service providers with minimal disruption, nodes should be able to maintain multiple active network connections. With the usage of multihomed nodes, seamless mobility can be achieved in already installed infrastructures, not providing mobility support. Mobility in heterogeneous access networks also requires network selections that scale for services. In this article we propose an architecture where application service providers and network service providers define service levels to be used by a mobile node and its user. The user selects a service and the service level from an application service provider. When performing access network selection, information received as part of an application service level will be used to find a network that supports the service required. The performance of available access networks will be monitored and considered when making the decision. Our proposed architecture provides solutions to move flows between interfaces in real-time based on network performance, quality of service signalling to correspondent nodes, and cancellation of flows to give way for more important traffic.     

Mobility management for VoIP service: Mobile IP vs. SIP

Wireless Internet access has gained significant attention as wireless/mobile communications and networking become widespread. The voice over IP service is likely to play a key role in the convergence of IP-based Internet and mobile cellular networks. We explore different mobility management schemes from the perspective of VoIP services, with a focus on Mobile IP and session initiation protocol. After illustrating the signaling message flows in these two protocols for diverse cases of mobility management, we propose a shadow registration concept to reduce the interdomain handoff (macro-mobility) delay in the VoIP service in mobile environments. We also analytically compute and compare the delay and disruption time for exchanging signaling messages associated with the Mobile IP and SIP-based solutions.     

移动互联网业务无线特征识别及优化方法研究

首先分析了移动互联网业务特征及对无线网络的影响,并依据业务模型对无线小区进行分类。首次提出了以无线网络性能统计指标进行小区业务分类识别的方法,结合现网实例进行了验证,并给出了移动互联网应用中典型的小数据业务优化解决方案。     

基于FPGA和DSP的数据流转换系统设计

在2G/3G网络演化以及三网融合的过程中,为了保护已有的投资,实现已有网络的平滑过渡,需要一种能实现各种媒体数据流之间的转换。介绍了一种利用FPGA采样E1信号,经由外部存储器接口(EMIF)传到DSP,然后对接收到的数据包进行处理,从而实现TDM网络中的E1信号与在Ethernet中传输的UDP的格式转换。可根据算法实现不同数据流的转换。实验证明该方案可行性强,可扩展性强,对数据流转换相关领域都有一定的参考价值。     

移动互联网大数据系统在无线网络规划中的应用

基于移动互联网用户上网记录的大数据系统能够多维度地记录和分析移动用户的行为特征。本文介绍了移动互联网大数据系统在无线网络规划中的应用,即利用对移动互联网用户上网行为特征的有效分析辅助3G基站的新建规划。基于已有的移动用户的上网行为特征的数据业务流量模型分析要比传统的无线网络话务模型分析更为有效、更具有实时性。