High capacity future cellular data networks

多年来，随着诸如视频流等较新服务的引入，对宽带通信服务的需求有所增加。随着这些新服务的推出，互联网接入用户的使用习惯发生了变化。通常，通过固定网络(DSL或CATV)访问的宽带服务的用户每月“消费”50G字节。另一方面，移动数据服务的典型数据计划是1Gbyte/月。固定和移动网络的这些数据量一直在不断增加，但比率约为50%，一段时间以来一直很大。有了这一限制，用户在移动数据网络上的体验将与在固定网络中的体验截然不同。随着技术的进步，我们预计绝对数据速率将会增加，但在目前蜂窝网络的方法下，这一比率将保持在较高水平，而无线网络满足用户期望的能力将保持较低水平。因此，移动数据服务将被视为一种更有限的服务，作为最后的手段使用，移动接入的巨大潜力将无法实现。这项提议的目标是通过为蜂窝网络设计新的架构/技术来缩小固定和移动互联网接入的传输能力之间的上述差距。增加这些网络容量的方法主要有两种：1)提高每个基站的频谱效率；2)部署更多(更密集的)基站或小小区，部署不同的架构，如中继站，以及在不同技术之间更有效地管理频谱块。这项提议集中在第二种方法上。然而，为了成功地进行这种部署，我们需要自动安装和配置接入点(AP)和中继器的方法。这些方法需要新的方法来研究和管理由于AP的随机定位、不同的功率级别、不同的天线能力、业务需求的变化或热点业务特性而导致的干扰。这些部署应由运营商和用户共同推动，以确保无线基础设施的增长是有机的。然而，频谱归网络运营商所有，并且运营商在自我配置过程之后在大小区和小小区的组合中运行用于统一频谱管理的相关算法。

Demand for broadband communication services has increased over the years as newer services such a video streaming are introduced. The usage habits of Internet access users have changed as these new services have been introduced. Typically users of broadband services accessed over a fixed network (DSL or CATV) "consume" say 50 Gbytes/month. On the other hand a typical data plan for mobile data services is 1 GByte/month. These data amounts for the fixed and mobile network have been constantly increasing, but the ratio is approximately 50 and has been large for some time. With this limitation the user experience on a mobile data network will be very different from the experience in a fixed network. With advances in technology we expect the absolute data rates to increase but with the current approaches to cellular networks the ratio will remain high and the capability of wireless networks to meet user expectations will remain low. As a result the mobile data service will be viewed as a more limited service, for use as a last resort, and the great potential for mobile access will not be realized. The goal of this proposal is to narrow the above gap between transmission capabilities for fixed and mobile Internet access by devising new architectures/techniques for the design of cellular networks. There are two main ways to increase the capacity of these networks: 1) increase the spectral efficiency per base station, and 2) deploy more (denser) base stations, or small cells, deploy different architectures such as relays and manage more efficiently spectrum blocks among different technologies. This proposal concentrates on the 2nd approach. However in order to undertake such deployments successfully we need methods to automatically install and configure access points (APs) and relays. These methods entail novel approaches to the study and management of interference as a result of random positioning of APs, differing power levels, differing antenna capabilities, variations in traffic demand, or hot spot traffic characteristics. These deployments should be driven both by operators and users in a manner that the growth in wireless infrastructure is organic. However the spectrum is owned by the network operator and the operator runs the associated algorithms for a unified spectrum management, in a combination of large and small cells, after a self-configuration procedure.