1x EV-DO的QoS控制机制

文章概述了综合业务(IS)的QoS业务模型、RSVP资源预留协议、差分业务(DS)模型的结构;讨论了第三代移动通信无线分组标准之一1xEV-DO关于QoS的前反向的接纳控制、业务接入控制、数据调度和QoS鉴权授权等设计思路,提出了QoS功能模块的网络结构和实现。     

由智能管道能力开放看运营商与OTT的竞合

文章分析了OTT时代移动通信产业现状与特点,对4G智能管道的QoS能力管控进行了研究,提出一个基于智能管道能力开放的OTT产业合作体系。该体系从运营商网络核心优势出发,从与OTT的流量合作、自服务、实时QoS控制三个层面分别介绍了智能管道QoS能力开放创造的价值,帮助移动运营商提升OTT时代的用户感知,从OTT业务发展的旁观者转变为OTT产业升级的获益者。     

GPRS网络中的QoS问题解决方案

在移动通信迅猛发展的今天,如何保证用户的QoS需求,使移动网可以根据不同的业务特点提供满意的服务,越来越受到行业人士的关注.本文重点讨论了2.5G和3G的QoS体系并针对现网出现的QoS问题提出了相应的解决方案.同时,本文明确的提出在2.5G和3G网络中SGSN是处理QoS属性的关键网元,SGSN设备能够提供各种QOS的兼容性是网络提供高质量业务的重要保证.     

基于QoS的3G网络系统设计与研究

为了有效地解决无线通信网络在宽带业务不断增加时产生的拥塞问题,提出了将区分服务模型应用于第三代移动通信网络以满足不同业务对QoS的需求。详细分析了区分服务模型的关键技术以及区分服务模型的系统结构,将区分服务模型和第三代移动通信分组域核心网系统结合起来,设计了支持QoS的第三代移动分组域核心网络。实验表明提出的模型较好地解决了第三代移动网络分组域核心网的QoS问题,提高了对不同业务的服务质量。     

移动通信网络的服务质量

移动用户需要通过移动通信网络接入因特网的多 媒体业务。但是在移动通信网络中，用户的移动性、带宽紧缺和传输链路易产生差错等因素对无线网络服务质量（QoS)的提供增加了许多难题。从2．5G和3G移动通信系统的核心网络和无线接入网络两个方面对端到端QoS的提供进行了详细分析，并简要地讨论了未来移动无线网络端到端QoS中一些有待解决的问题。     

基于IP的3G服务质量控制及实现

第三代移动通信系统 (3G)的第二阶段是采用IP传送网 ,服务质量 (QoS)是极其重要的问题。在讨论基于IP的 3G中QoS体系结构、业务QoS要求基础上 ,重点研究QoS控制原理和区分服务的实现 ,并得出一些有参考价值的结论。     

cdma2000系统和WCDMA系统分组数据业务的比较

简要介绍了第三代移动通信系统中的cdma2000系统和WCDMA系统的分组业务,并对两种系统分组业务的网络结构、分组业务协议和QoS等进行了比较。     

第三代移动通信系统的QoS和资源管理

随着通信网络的不断完善，用户对网络所提供的业务性能的要求不断提高，QoS（服务质量）已经成为通信系统的一个非常重要的指标，决定了用户的满意程度。本文概述了第三代移动通信系统（3G）的QoS和资源管理，其中着重描述了全球移动通信系统（UMTS）的QoS。     

IEEE802．16资源分配方案研究

未来移动通信系统,诸如IEEE802.16旨在能够传送多种具有不同QoS要求的多媒体业务.为了保证业务的QoS,需合理设计调度器的结构和相应的调度算法.针对IEEE 802.16宽带无线接入系统中的双层分级带宽分配体系结构,结合总调度器分配算法优点,采用了更适用于分类调度器且不同于     

第三代移动通信中的服务质量及技术挑战

第三代移动通信(3G)系统将Internet和移动通信相结合，使得移动通信中业务的数量和种类得到前所未有的增长。各种实时和多媒体业务的不断涌现，要求提供端到端的服务质量(QoS)保证。与Internet相比，3G系统中的QoS具有自身的特点，给3G系统QoS的实现带来更大的技术挑战。本文总结了这一领域近年来众多的研究成果，对实现3G系统中的QoS所面临的挑战进行分析，指出了几种技术解决途径，提出了无线接口的QoS实现框架，最后展望了3G的未来及支持QoS的技术发展方向。     

Individual QoS rating for voice services in cellular networks

Observation and management of quality of service in cellular networks is a very important function. This article shows that it should be performed not only at the network level, as is done today, but also individually in each and every user terminal. Existing centralized network QoS systems only collect data, which allows evaluation of average QoS at the network or cell levels. However, they do not provide any objective data for estimating the QoS actually served to individual mobile users. This article offers a concept of individual QoS rating, which would allow dynamic assessment, recording, and subsequent analysis of the actual QoS received by a particular mobile user (individual QoS). Individual QoS ratings so obtained could then be reported to the user directly (as part of the intelligent user terminal concept) and otherwise become a part of service-level transactions (billing, etc.) between the user and the network operator. Realization of this novel value-added service can be achieved by integrating a special QoS module (software agent) into user terminals for monitoring and recording of individual QoS data.     

Energy Maps for Mobile Wireless Networks: Coherence Time versus Spreading Period

We show that even though mobile networks are highly unpredictable when viewed at the individual node scale, the end-to-end quality-of-service (QoS) metrics can be stationary when the mobile network is viewed in the aggregate. We define the coherence time as the maximum duration for which the end-to-end QoS metric remains roughly constant, and the spreading period as the minimum duration required to spread QoS information to all the nodes. We show that if the coherence time is greater than the spreading period, the end-to-end QoS metric can be tracked. We focus on the energy consumption as the end-to-end QoS metric, and describe a novel method by which an energy map can be constructed and refined in the joint memory of the mobile nodes. Finally, we show how energy maps can be utilized by an application that aims to minimize a node's total energy consumption over its near-future trajectory.     

End-to-end QoS provisioning in mobile heterogeneous networks

The remarkable advances in information technologies bring a heterogeneous environment for mobile users and service providers. This heterogeneity exists in wireless access technologies, networks, user terminals, applications, service providers, and so on. The ability to provide seamless and adaptive quality of service in such a heterogeneous environment is key to the success of next-generation wireless communications systems. There has been a considerable amount of QoS research recently. However, the main part of this research has been in the context of individual architectural components, and much less progress has been made in addressing the issue of an overall QoS architecture for the mobile Internet. This article first summarizes the state-of-the-art QoS techniques and standardization activities, then examines in detail important challenges in building a ubiquitous QoS framework over the heterogeneous environment, and finally proposes a QoS framework integrating a three-plane network infrastructure and a unified terminal cross-layer adaptation platform to provide seamless support for future applications.     

第三代移动通信系统的QoS

QoS是通信系统中的一个重要指标,它决定用户的满意程度。文中综述了第三代移动通信系统对QoS的要求,QoS的结构,移动通信系统中QoS的级别,QoS的参数和属性。     

移动自组网QoS路由协议研究

移动自组网是由一组带有无线收发装置的移动节点组成的一个多跳的临时性的自治系统。随着无线通信中多媒体业务的增加,在移动自组网中提供QoS(Quality of Sevice服务质量)保障具有越来越重要的意义,而QoS路由技术则是其中的核心技术和热点问题。文章指出移动自组网QoS路由的困难,对移动自组网典型QoS路由协议进行了详细的分析与比较,并对几种较新的移动自组网QoS路由协议进行了介绍,末了对移动自组网QoS路由协议的发展进行了展望。     

移动云服务的自适应业务质量管理

The rapid growth of cloud computing and mobile Internet services has triggered the emergence of mobile cloud services. Among many challenges, QoS management is one of the crucial issues for mobile cloud services. However, existing works on QoS management for cloud computing can hardly fit well to the mobile environment. This paper presents a QoS management architecture and an adaptive management process that can predict, assess and ensure QoS of mobile cloud services. Furthermore, we propose an adaptive QoS management model based on Fuzzy Cognitive Maps (FCM), which suitably represents the causal relationships among QoS related properties and cloud service modes. We evaluate the proposed solution and demonstrate its effectiveness and benefits based on simulation work.     

5G mobile terminals with advanced QoS-based user-centric aggregation (AQUA) for heterogeneous wireless and mobile networks

In this paper we present an advanced QoS provisioning module with vertical multi-homing framework for future fifth generation (5G) mobile terminals with radio network aggregation capability and traffic load sharing in heterogeneous mobile and wireless environments. The proposed 5G mobile terminal framework is leading to high performance utility networks with high QoS provisioning for any given multimedia service, higher bandwidth utilization and multi-RAT capabilities. It is using vertical multi-homing and virtual QoS routing algorithms within the mobile terminal, that is able to handle simultaneously multiple radio network connections via multiple wireless and mobile network interfaces. Our 5G proposal is user-centric, targeted to always-on connectivity, maximal network utilization, maximal throughput, seamless handovers and performances improvement by using vertical multi-homing, as well as session continuity. The performance of our proposed mobile terminal framework for 5G is evaluated using simulations and analysis with multimedia traffic in heterogeneous mobile and wireless scenarios with coexistence of multiple radio access technologies, such as 3G, 4G as well as future 5G radio access networks.     

Providing quality of service in always best connected networks

The next generation of mobile systems is expected to support multiple radio access technologies, as well as diverse types of terminals, including mobile phones, personal digital assistants, and laptops, as well as personal area, moving, and sensor networks. Thus, future wireless systems will not only continue to break technological barriers in terms of new air interface capabilities, higher bit rates, mobility, security, and QoS management, but will present new end-to-end scenarios in which applications access services over multiple L2 hops and multiple IP networks. The term always best connected refers to the concept of defining a set of access selection criteria and mechanisms that allow users to get connected to various services in a nearly optimal manner. Providing QoS in this type of heterogeneous multihop environment is a challenging task because applications may be completely unaware of them scenario and the underlying layer 2 technologies that can be quite different at different hops. For instance, some wireless links may have scarce resources and highly optimized QoS mechanisms; others may not support explicit QoS handling at all. In this article we consider the use of IP-level QoS signaling as a key component to support the end-to-end QoS for various applications. We propose a small set of application programmer- and wirelesslink-friendly IP QoS parameters (wireless hints) and illustrate the use of these in a specific WLAN-to-cellular handover situation. We conclude that the proposed model, signaling protocol, and wireless information elements can efficiently support QoS in heterogeneous mobile environments.     

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.