移动冒险-迈向第四代移动系统

H. Berndt
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引用次数: 0

摘要

在过去,几代移动系统通常根据其无线电接口来表征。因此,今天关于超3G系统的大多数讨论都集中在无线传输技术上。然而,针对第四代移动系统解决方案的未来系统有望在更广泛的意义上提供进步。他们特别瞄准两个目标:第一,具有高容量和可预测服务质量参数的无缝端到端连接;第二,根据客户需求量身定制大量大幅增强的新服务。因此,无缝连接不仅将包括我们今天所看到的异构接入网络,更重要的是,它将扩展网络,以达到移动无处不在的网络环境,集成蜂窝网络和无处不在的计算环境。通过网络的组合,包括VAN、PAN、BAN等,以及传感器网络和其他无线自组织方式,可以实现无缝连接。这种新的移动无处不在的环境将成为向用户(企业和个人最终用户)提供服务的基础,这些服务的规模和强度都是前所未有的,需要仔细过滤和考虑消费者的偏好,以便由客户管理并对客户有意义。向下一代的成功飞跃将受到提供语义增强的富服务和应用程序的新方法的强烈影响,同样重要的是受到向用户展示它们的新方法的影响。随着服务复杂性的增加——4G用户将有机会接触到各种各样的服务,并提供大量的产品来组合它们——似乎很容易预测一个旨在帮助客户的解决方案的增长市场。这将包括一个关键概念,即对服务产品进行上下文感知的动态调整,从而根据用户当前的上下文条件向其提供服务。由于使用和访问新服务和复杂服务的困难一直是过去服务采用缓慢的原因,运营商成功的一个关键因素是通过提供深度个性化的服务来减轻用户的负担。个性化被认为是未来移动通信系统最引人注目的特征之一。它将支持客户从各种移动服务产品中发现特定的服务,并为直观的服务访问提供用户支持。运营商可以通过使用模式和主动服务选择机制,根据用户的个性化需求调整所选择的服务。深度个性化不仅可以加强客户和运营商之间的关系,还为新的商业模式的实施提供了空间,从而鼓励第三方进入个性化服务提供的诱人市场。甚至更未来的支持系统可以探索使用机器学习技术获取特定用户行为知识的可能性和优势,并提供用户助手,例如以观察者代理的形式,帮助他们在环境感知服务环境中导航。按照上述概念,移动运营商在下一代移动系统中的传统角色可能会发生重大变化,竞争不仅集中在无缝连接和价格上,还集中在丰富的服务和广泛的服务使用支持上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Adventure - Towards 4Generation Mobile System
In the past, generations of mobile systems were often characterized according to their radio interface. Consequently most of the discussions today regarding beyond 3G systems are focusing on wireless transmission technologies. However future Systems that are targeted at solutions towards 4th generation mobile systems are expected to provide advances in a much broader sense. In particular they are aiming at two goals: Firstly seamless end to end connectivity with high capacity and predictable quality of service parameters and secondly a multitude of substantially enhanced new services that are tailored to customer needs. Seamless connectivity hereby will not only encompass heterogeneous access networks as we see them emerging today, it will more importantly expand networks to reach out for a mobileubiquitous networking environment, integrating cellular networks and an ubiquitous computing environment. Seamless connectivity can be achieved through composition of networks, including VAN, PAN, BAN etc. as well as sensor networks and others in a wireless ad-hoc manner. This new mobile-ubiquitous environment will be the foundation for providing services to users (corporate as well as individual end-users) that are unprecedented in scale and intensity and need careful filtering and considerations of consumer preferences in order to be manageable by and meaningful for the customer. The successful leap to the next generation will strongly be influenced by new ways of providing semantically enhanced rich services and applications and equally important by new methods of presenting them to the user. With the complexity of services increasing – 4G customers will have access to a huge variety of services and a multitude of offerings to combine them – it seems easy to predict a growing market for solutions that are aiming at assisting the customer. That will include as a key concept context-aware dynamic adaptation of service offerings, thus providing services to the user according to his current contextual conditions. Since difficulties in using and accessing new and complex services have been reasons for slow service adoption in the past, one key factor for operators to succeed commercially is to unburden the user by providing services that are deeply personalized. Personalization is regarded to be one of the most compelling features for future mobile communication systems. It will allow for supporting customers in discovering specific services from a diversity of mobile service offerings, and provide user support for intuitive service access. Operators can adjust selected services to the users’ individual needs by utilizing usage patterns and proactive service selection mechanism. The deep personalization not only promises to strengthen the relationship between the customer and the operator it also gives room for implementation of novel business models thus encouraging third parties to enter the attractive market of personal service provisioning. Even more futuristic support systems could explore the possibilities and advantages of using machine learning techniques to acquire knowledge about specific user behaviour and provide an user assistant, e.g. in form of an observer agent, to help navigate their way in an ambient-aware services environment. Following the concepts as described, the traditional role of mobile operators within the next generation of mobile systems is likely to change significantly, focusing competition not only on seamless connectivity and prices but also on rich services and extensive service usage support.
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