Resource-Efficient Decoupling in Ultra-Dense 5G Networks

C. Bouras, V. Kokkinos, Evangelos Michos
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引用次数: 1

Abstract

The evolution of 5G mobile networks is expected to be comprised of small cell deployments within spitting distance of existing macrocell infrastructures. The small cells adoption, which promises to offer an economical solution for improved coverage and data rate, appears to be the key factor at improving network cooperation and system performance. In this paper, we evaluate the User-Centric model for 5G networks, targeted at improving communication between user terminal and Base Stations across all layers. We suggest a cost-effective, resource-aware method for improved mobile outdoor coverage and overall network capacity while fully respecting the user's Quality of Service, by decoupling the overall network into downlink and uplink networks. The proposed algorithm determines how the network users in both networks will efficiently connect to a Base Station. The network performances are evaluated in terms of data rates enhancements, association outcome and preservation of the Quality of Service for each user. Our low-complexity algorigthm ultimately manages to serve the vast majority of the users placed inside an ultra-dense network and achieve perfect preservation of Quality of Service, regardless of the number of active users.
超密集5G网络中的资源高效解耦
5G移动网络的演进预计将由现有大型基站基础设施的小规模基站部署组成。小型蜂窝的采用有望为提高覆盖范围和数据速率提供一种经济的解决方案,似乎是改善网络协作和系统性能的关键因素。在本文中,我们评估了5G网络的以用户为中心的模型,旨在改善用户终端和基站之间跨所有层的通信。我们建议一种具有成本效益、资源意识的方法,通过将整个网络解耦为下行和上行网络,在充分尊重用户服务质量的同时,提高移动户外覆盖和整体网络容量。该算法确定了两个网络中的网络用户如何有效地连接到基站。根据数据速率增强、关联结果和对每个用户的服务质量的保留来评估网络性能。我们的低复杂度算法最终能够服务于超高密度网络中的绝大多数用户,并且无论活跃用户的数量如何,都能完美地保持服务质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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