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On the need for dynamic downlink intercell interference coordination for realistic Long Term Evolution deployments

机译:对于实际的长期演进部署,需要动态下行链路小区间干扰协调

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Intercell interference is the main issue limiting the capacity of modern orthogonal frequency-division multiple access based cellular networks. Recently, extensive research work has been carried out in this field, and intercell interference coordination techniques have been recognized as key enablers of current (and future) cellular technologies. In this article, (i) a comprehensive survey of the most representative contributions is provided together with (ii) a generic methodology to measure their actual merit. The performance of several interference avoidance strategies has been evaluated both from system and user point of view in the context of a Long Term Evolution (LTE)-based network considering not only synthetic cellular scenarios but also realistic deployments. Our literature review indicates that there is a need for adaptive/operator customizable low-complex intercell interference coordination (ICIC) schemes suitable for realistic LTE deployments. Results obtained by means of a comprehensive set of simulations corroborate and support this premise. In this article, it is shown that simultaneous gains in terms of spectral/energy efficiency and fairness can be achieved through dynamic mechanisms with respect to both classic hard reuse schemes and static ICIC techniques. Besides numerical results, a novel merit assessment methodology based on several weighted performance metrics is proposed. Our findings show that dynamic schemes outperform static techniques by around 20-35% in realistic deployments.
机译:小区间干扰是限制现代正交频分多址蜂窝网络容量的主要问题。近来,在该领域已经进行了广泛的研究工作,并且小区间干扰协调技术已经被认为是当前(和未来)蜂窝技术的关键促成因素。在本文中,(i)提供了对最具代表性的捐款的全面调查,以及(ii)衡量其实际价值的通用方法。在基于长期演进(LTE)的网络中,不仅考虑了合成蜂窝场景,而且考虑了实际部署,已经从系统和用户的角度评估了几种避免干扰策略的性能。我们的文献综述表明,需要适用于实际LTE部署的自适应/运营商可定制的低复杂度小区间干扰协调(ICIC)方案。通过全面的模拟获得的结果证实并支持了这一前提。在本文中,表明可以通过动态机制(相对于经典的硬重用方案和静态ICIC技术)同时获得频谱/能效和公平性方面的收益。除了数值结果外,还提出了一种基于几种加权绩效指标的绩效评估方法。我们的发现表明,在实际部署中,动态方案的性能要比静态技术高出约20-35%。

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