以计费模式的创新推动宽带业务的发展

以高速和“一直在线”为特征的宽带标志着互联网技术的发展进入一个崭新的阶段。宽带服务提供商的业务重点正经历着由提供宽带连接、提高市场份额和改进网络可用性到增加利润和提高运营效率的重要转折。为了抓住由宽带服务带来的发展机遇，宽带运营商应及早从传统的包月制计费模式的羁绊中解脱出来，根据用户的消费需求及网络技术特征对现有的计费模式进行创新。研究表明，按使用量计费和按服务价值计费的模式可为宽带运营商带来新的客户并创造新的利润空间。     

GPRS计费协议的分析

一、电话计费 作为电信运营网络,它在向用户提供服务的同时,也伴随着服务的收费。计费本质上是对用户使用网络资源的一种度量。目前,计费的内涵已不仅仅是单纯的收费,计费的策略将引导用户的消费行为,有利于协调网络的使用情况,并向用户提供个性化的服务。     

业界新声

网通选用亚信综合计费软件 在“一马当先，马到成功”的新春贺岁声中，亚信科技（中国）公司与中国网通公司签定合同，为中国网通的ＣＮＣ－ＷＬＡＮ宽带接入网络项目提供其自主研发的电信级融合计费系统软件ＡＩＯＢＳ／ＣＢＳ。 亚信ＡＩＯＢＳ／ＣＢＳ最突出的特点是实现真正的融合，功能覆盖全部窄带、宽带接入方式的用户管理、认证管理、帐务管理到统计支持等多方面系统服务，并支持宽带ＷＬＡＮ接入、ＶＰＮ／ＶＰＤＮ、专线接入、卡用户等各种业务；兼容包月制、流量计费、时长计费、服务和服务等级计费、按使用带宽计费等多种计费模…     

基于MS代理服务器的网络计费系统的研究与实现

设计并实现了一种基于MS-Proxy Server的网络计费系统。该系统提供6种基本计费类型，并可以根据实际情况定制计费策略；提供了主机和网络2种方式的按日按月查询；实现了基于用户的计费，解决了。一台微机，多人上罔”的计费问题；避开了IP地址盗用的问题。     

双向、实时:IP用户管理及计费系统的未来之路

传统的电话公司一直采用批量计费系统。它的特点是比较简单，只能单向传输信息，即从网络传到帐单，不能支持双向互动，这无疑是个致命的缺陷。网络技术的高速发展，使服务供应商之间的竞争日趋白热化，并购之风愈演愈烈，随时都有被淘汰的危险。服务供应商必须要有更佳的经营手段，增加特色服务，以便提高利润，增强自己实力。因此，竞争已迫使服务供应商不断评估他们的设施，寻找更为先进的系统。不少服务供应商正在考虑采用各类新兴的ＩＰ用户管理和计费系统取代旧有系统。这类新系统能按实际使用情况进行实时计费，支持针对目标市场的推…     

四大运营商落实电信服务均实行自然月计费

为了使服务更人性化，进一步方便用户了解、控制通信费用，自2005年7月1日起，中国网络通信集团公司将全面试行按自然月计费、收费；从2006年1月1日起，中国电信也将正式在全国推行按自然月计费的收费模式。     

重庆铁通 宽带接入认证计费系统改造分析

运营商和众多的宽带接入商在宽带网络的建设和推广中展开了激烈的竞争,为了满足用户快速的互联网接入,同时提供丰富的增值服务,运营商需要建立完善的认证计费系统,实现对不同宽带接人用户的有效管理。     

宽带“按流量计费”需等待时机

宽带资费套餐市场．一直就存在着“按时长计费”和“按流量计费”两种计费模式之争。反对“按时长计费”的人士说。在上网的高峰时段，由于网络拥塞而导致的垃圾等待时长不应该算在用户的帐单上；抨击“按流量计费”的人士说，如果电脑误中病毒。向其它电脑发送数据包产生的垃圾流量不应该让用户埋单。笔分析目前国内宽带市场现状。并借鉴国外运营商相关经验，认为在用户的消费行为偏爱．消费感知和运营商的系统支撑等诸多方面。按流量计费模式都尚不成熟，按时长收费套餐仍是首选。[编按]     

国外广播方式手机电视的发展对我国的启示

概述 手机电视是融合移动通信和广播电视特点的新业务。随着移动通信网向高速网络演进．手机电视率先以流媒体的形式出现,流媒体手机电视业务实质上是一种数据业务．通常采用单播的方式为用户提供服务．计费方式采用包月或者按流量计费．在移动网络中大规模部署流媒体手机电视是不经济的．一旦用户量增多．将给网络带来拥塞．甚至会影响到其他业务的使用。     

基于服务质量的计费策略

先进的计费系统是提供优质服务的重要保证。采用适当的价格机制建立网络管理平台,引导用户行为,既能吸引更多用户使用网络,又能限制用户对网络资源的浪费和恶意使用,提高网络资源的利用率。在基于服务质量(QoS)的非线性计费策略中,网络资源的价格不是以单位资源统一定价,而是针对不同的业务类型,对单位资源采用不同的计费方案。文章分析了基于QoS计费策略的服务模型、计费原则以及实现该计费策略的参考模式。     

On the performance optimization for the cloud architecture with sleep-mode and registration service

In order to balance the energy conservation and the service quality for anonymous users,a novel sleep-mode based architecture with the free cloud service and the registration cloud service was proposed.Regarding the free cloud service as the first service,the registration cloud service as the second service and the sleep sate as the vacation,a partial asynchronous multiple vacation queueing model with a second optional service was built.Applying the method of a matrix-geometric solution,the steady-state distribution of the queueing model was derived,and then the energy saving rate of system as well as the average response time of anonymous users were estimated.By considering the benefits from accessing the cloud service and the time cost on waiting for the cloud service,benefit functions were constructed.Numerical results were carried out to reveal the relationship between Nash equilibrium arrival rate and social optimal arrival rate of anonymous users.The proposed cloud architecture provides a theoretical basis for social optimization.     

Performance analysis for a guaranteed handover service in an LEOconstellation with a “satellite-fixed cell” system

It is anticipated that the satellite component of the future universal mobile telecommunications system (UMTS) will be based (partly or totally) on non-geostationary (nonGEO) constellations of satellites to serve mixed populations of users, each category being treated through different contracts stipulating different quality of service (QoS). In particular, we envisage a high-quality premium service which guarantees the success of each handover procedure, called guaranteed handover (GH) service, and a low-cost lower quality service called regular service, where handover failures are accepted provided that the probability of a call being unsuccessful does not exceed a given value. This paper proposes a strategy which eliminates forced call terminations due to handover failures, thus allowing the GH service. This procedure applies to low Earth orbit (LEO) constellations using the satellite-fixed cell technique. An analytical model has been derived to calculate QoS parameters for a mixed population of GH and regular users. Providing both GH service to some users and regular service to other users requires an increased satellite capacity with respect to the case where all the users are served with the regular service; this capacity increase has been evaluated as a function of the percentage of GH users, the traffic load per cell, and the considered satellite mobility environment. The GH approach has been validated through the comparison with another scheme which envisages the queuing of handover requests for privileged users     

Mobile communications

The principal problem faced by networks with mobile users is how to ensure that the service provider functions keep pace with the continually changing network state resulting from user mobility, without consuming large amounts of network resources in the process. Regardless of whether the users are mobile or stationary, all telecommunications networks must perform basic service provider functions such as controlling access to services, locating users, routing traffic, and accounting and billing for service use. However, in the presence of mobile users, all of these functions must be performed much more often and much more rapidly. Developing low-overhead high-performance service provider solutions has been and will continue to be a key area of research in mobile communications. This special issue on mobile communications comprises five articles, each of which covers a different aspect of mobile communications     

多策略QoS感知的服务选择与排序模型

随着网络中具有相同功能、不同QoS服务的增多,在用户请求服务时,为了确保能找到满足用户功能与质量要求的服务,并对找到的可用候选服务集按一定的策略进行选优,提出了一种多策略QoS感知的服务选择与排序模型。在该模型中,综合考虑服务的性能与运营维护成本等属性,提出了一个扩展的服务QoS模型,在此基础上引入用户、运营商对服务满意度的计算方法,通过改变用户满意度与运营商满意度在排序选优过程中所占的不同比重,灵活设置服务选优策略,有效的解决了服务排序选优问题。搭建了服务选择与排序原型系统,并通过应用实例对上述模型进行了验证。     

Game-theoretic pricing for video streaming in mobile networks

Mobile phones are among the most popular consumer devices, and the recent developments of 3G networks and smart phones enable users to watch video programs by subscribing data plans from service providers. Due to the ubiquity of mobile phones and phone-to-phone communication technologies, data-plan subscribers can redistribute the video content to nonsubscribers. Such a redistribution mechanism is a potential competitor for the mobile service provider and is very difficult to trace given users' high mobility. The service provider has to set a reasonable price for the data plan to prevent such unauthorized redistribution behavior to protect or maximize his/her own profit. In this paper, we analyze the optimal price setting for the service provider by investigating the equilibrium between the subscribers and the secondary buyers in the content-redistribution network. We model the behavior between the subscribers and the secondary buyers as a noncooperative game and find the optimal price and quantity for both groups of users. Based on the behavior of users in the redistribution network, we investigate the evolutionarily stable ratio of mobile users who decide to subscribe to the data plan. Such an analysis can help the service provider preserve his/her profit under the threat of the redistribution networks and can improve the quality of service for end users.     

A hierarchical framework of dynamic relay selection for mobile users and profit maximization for service providers in wireless relay networks

Although extensive research has been carried out on the issue of how to optimally select relays in wireless relay networks, relay selection for mobile users is still a challenging problem because of the requirement that the dynamic selection should adapt to user mobility. Moreover, because the selected relays consume their energy on relaying data for the users, it is required that the users have to pay for this relay service. The price of selecting relays will affect the users' decisions. Assuming that different relays can belong to different service providers, we consider the situation that the service providers can strategically set the prices of their relays to maximize their profits. In this paper, we jointly study the dynamic relay selection for mobile users and profit maximization for service providers. Also, we design a Stackelberg‐game hierarchical framework to obtain the solution. At the lower level, we investigate the relay selection problem for the mobile users under given prices of selecting the relays. It is formulated as a Markov decision process problem with the objective to minimize the mobile user's long‐term average cost (which consists of the payment to the relay service and the cost due to packet loss), and solved by applying the linear programming technique. At the upper level, we study the game of setting relay prices for the service providers, with the knowledge that the mobile users will make relay selections based on their given prices. Nash equilibrium is obtained as the solution. Our results can help to provide a guidance for service providers to compete for providing relay services. Copyright © 2012 John Wiley & Sons, Ltd.     

Internet寻呼业务应用前景可观

随着Ｉｎｔｅｒｎｅｔ网络技术的发展,Ｉｎｔｅｒｎｅｔ用户和寻呼业务用户日益增多,Ｉｎｔｅｒｎｅｔ寻呼业务应运而生,Ｉｎｔｅｒｎｅｔ寻呼业务按使用方法可分为万维网寻呼和电子邮件寻呼两大类,目前提供电子邮件寻呼业务的公司较多。     

5G EPS Fallback感知优化研究与应用

由于VoNR技术尚不成熟,当前5G SA语音仍需依靠EPS Fallback回落至VoLTE来解决.在现阶段,EPS Fallback仍然存在接通率低和接通时延大等问题,严重影响5G客户使用感知.本文通过对影响EPS Fallback语音感知的关键问题进行探究,形成一套面向不同场景的差异化优化方法,并实施验证,实现了5...     

Service Acquisition for Mobile Users in Future Internet

Mobility offers a great deal of advantages. However, mobile users are currently restricted by the network coverage of providers, their access network technologies and the networking capabilities of mobile devices. Moreover, mobile users have to be involved in time consuming and inflexible manual interactions with internet access service providers in order to sign long term contracts. In this paper, a novel framework, which liberates mobile users from predefined, long-term contracts, is presented. This framework enables mobile users to dynamically acquire any kind of Internet Service, irrespectively of their location and the mobile device used. This is based on the automation of the service acquisition process and the collaboration of providers that is required to satisfy end-users’ requests. The flexible communication and negotiation framework that was defined enables automated negotiations between all parties and can be used as basis towards automated service acquisition for mobile users in future internet.     

Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach

We consider the problem of spectrum trading with multiple licensed users (i.e., primary users) selling spectrum opportunities to multiple unlicensed users (i.e., secondary users). The secondary users can adapt the spectrum buying behavior (i.e., evolve) by observing the variations in price and quality of spectrum offered by the different primary users or primary service providers. The primary users or primary service providers can adjust their behavior in selling the spectrum opportunities to secondary users to achieve the highest utility. In this paper, we model the evolution and the dynamic behavior of secondary users using the theory of evolutionary game. An algorithm for the implementation of the evolution process of a secondary user is also presented. To model the competition among the primary users, a noncooperative game is formulated where the Nash equilibrium is considered as the solution (in terms of size of offered spectrum to the secondary users and spectrum price). For a primary user, an iterative algorithm for strategy adaptation to achieve the solution is presented. The proposed game-theoretic framework for modeling the interactions among multiple primary users (or service providers) and multiple secondary users is used to investigate network dynamics under different system parameter settings and under system perturbation.