针对高速公路场景下的TF协同优化思路与方案

随着LTE的建设与应用推广,TDD-LTE由于其频率特性及上下行时隙配比等原因,在容量、深度覆盖方面已难以满足用户日益增长的业务需求。在此背景下,TF协同优化成为了容量分流、提升客户感知的重要思路并广受关注。然而,不同场景的业务及用户分布等特性各异,在制定具体策略时,需针对该场景特点制定个性化的协同优化策略。机场高速作为城市的门户与形象窗口,其网络质量一直是各运营商优化工作关注的重点。本文基于某市机场高速场景,探讨了TF协同优化实现原理、策略与具体优化方案,为制定场景个性化TF协同策略,解决重点场景负荷过高、用户体验感知差、深度覆盖不足等提供了思路。

Personalized TF Collaborative Optimization Method for Important Scenarios

With the construction and application of LTE, TDD-LTE has become feeble to meet the growing business needs of users in terms of capacity and depth coverage due to the frequency characteristics and the ratio of upper and lower time slots. In this case, TF collaborative optimization has received much attentions for capacity diversion and promoting user perception. Due to the difference of various scenes, personalized strategies is badly needed for formulating the TF collaborative optimization of the specific scenario. As the gateway and image window of the city, the network quality of the airport expressway has always been the focus of the operators" optimization work. Based on the high-speed airport scene of a city, this paper discusses the realization principle and optimization scheme of TF collaborative optimization, providing ideas for solving the problems of important scenes like excessive load, poor user experience perception, insufficient depth coverage, etc.