5G超密集网络(ultra-dense network,UDN)的引入是为了提升吞吐量,特别是针对静态和低速场景,因此,无法同时满足高吞吐量和高移动速度的需求。对于未来需要同时支持高容量和高速移动的6G新场景,提出一种同心圆模型(homocentric sphere model,HSM)的网络架构,采用控制面/用户面数据分离、多发送接收节点(transmission and reception point, TRP)协同传输的方法来处理密集部署网络中多普勒效应影响大和TRP频繁切换的问题,使得该模型成为密集部署网络下提升网络容量、应对高速移动的有效方法。数据结果证明,所提的HSM有效减小了密集组网高速移动场景下多普勒频移效应,同时能够提供更高的网络遍历频谱效率。
Abstract
5G ultra-dense network (UDN) was introduced to improve throughput
especially for static and low-speed scenarios
and thus cannot meet the demands that require high throughput and high mobile speed at the same time. For the new 6G scenarios that need to support both high-capacity and high-speed mobility in the future
a homocentric sphere model (HSM) network architecture was proposed
which adopted the control-plane/user-plane data separation and multiple transmission and reception point (TRP) cooperative transmission method to deal with the problem in densely deployed networks. The HSM was an effective method to improve the network capacity and cope with high-speed mobility in dense deployment networks by adopting control-plane/user-plane data separation and multiple TRP co-transmission to deal with the problems of high Doppler frequency shift effect and frequent switching of TRP in the dense deployment networks. The results demonstrate that the proposed homocentric sphere model can effectively reduce the Doppler shift effect in the high-speed mobility scenario of a densely organized network
and can provide higher network traversal spectrum efficiency.
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references
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