Planning of Ultra-Dense Wireless Networks
Planning of Ultra-Dense Wireless Networks
复制标题
超密集无线网络规划
作者：
A. Al;Saba Al;J. Cosmas;A. Anpalagan
第五代（5G）无线网络采用超密集小型小区的部署以用于无线电资源的有效切片。网络结构的这一概念变化旨在满足移动的数据流量和连接设备的快速增长。然而，有限的空闲频谱和资源的动态分配是考虑认知小小区解决方案时的主要问题。因此，需要将业务模式与认知小小区的数量进行映射，以提供以足够的频谱资源操作的优化的网络架构。本文研究了网络密度超过无线资源容量，导致小区覆盖区域和使用信道大规模重叠的情况。考虑到认知网络的性能特点，我们确定了两个频谱共存框架，空间填充和时间填充，以提高频谱利用率和可扩展性的中等规模的网络。仿真结果表明，有一个转折点，当网络性能开始下降的认知小小区的数量超过了共享资源的站点区域，受到一定的负载配置文件。这种基于频谱传输机会的网络结构优化为考虑在未授权频带中操作的小小区的运营商和研究团体带来了新的课题。
Fifth generation (5G) wireless networks adopt the deployment of ultra-dense small cells for efficient slicing of radio resources. This conceptual change in network structure aims to meet the rapid increase in mobile data traffic and connected devices. However, limited free spectrum and dynamic assignment of resources are main concerns when considering the cognitive small cells solution. Therefore, there is a need to map traffic patterns with the number of cognitive small cells to provide an optimized network architecture operating with adequate spectrum resources. This article investigates the case when network densification exceeds the radio resource capacity, causing a large scale overlapping in cell coverage area and used channels. Taking into consideration cognitive network performance characteristics, we identify two spectrum coexistence frameworks, Space Filling and Time Filling, to improve spectrum utilization and scalability for moderately large networks. Simulations show that there is a turning point when network performance starts to decline as the number of cognitive small cells exceeds the shared resources in a site area, subject to a certain load profile. This optimization of network structure, based on spectrum transmission opportunities, brings about a new topic for operators and research communities considering small cells operating in the unlicensed band.