无线蜂窝网络的异构性和多蜂窝合作

N. Sindhushayana
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引用次数: 0

摘要

大多数城市蜂窝网络的性能受到蜂窝间干扰的限制。对于具有异构基础设施的蜂窝网络尤其如此,其中相同的频谱由不同类型的基站(如宏蜂窝、微蜂窝、飞蜂窝和中继)共享。这种密集/异构部署的性能可以通过使用智能关联技术和自适应干扰管理来大大增强。与传统的蜂窝系统不同,在传统的蜂窝系统中,关联主要是基于最大化基站和用户之间的信号质量,而异构网络中的智能关联方案应该基于几个额外的标准,如积极的负载平衡、路径损耗最小化或对其他链路的干扰最小化。主动负载平衡(特别是)需要先进的干扰管理,这可以通过(软)资源划分、波束协调或基站联合信号处理来实现。多小区信号处理(或分布式MIMO)也可以用于同质网络,以减轻小区间的干扰,而不影响与发射信号相关的自由度。在本教程中,我们将演示如何将这些技术整合到蜂窝系统的设计中,以及这样的系统设计所带来的性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneity and multi-cell cooperation in wireless cellular networks
The performance of most urban cellular networks is limited by inter-cell interference. This is particularly true of a cellular network with heterogeneous infrastructure, wherein the same spectrum is shared by different types of base-stations such as macro-cells, pico-cells, femto-cells and relays. Performance of such dense/heterogeneous deployments may be greatly enhanced through the use of smart association techniques, coupled with adaptive interference management. Unlike traditional cellular systems where association is predominantly based on maximizing signal quality between the base-station and the user, a smart association scheme in a heterogeneous network should be based on several additional criteria such as aggressive load-balancing, path-loss minimization, or minimization of interference to other links. Aggressive load-balancing (in particular) requires advanced interference management, which can may be realized through (soft) resource partitioning, beam-coordination or joint signal processing at the base-stations. Multi-cell signal processing (or distributed MIMO) can be used in homogeneous networks as well, in order to mitigate inter-cell interference without compromising degrees of freedom associated with the transmit signals. In this tutorial, we demonstrate how these techniques may be incorporated into the design of a cellular system, and the performance gains resulting from such a system design.
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