当前位置:网站首页>Key technologies for 4G/5G spectrum resource coordination
Key technologies for 4G/5G spectrum resource coordination
2022-08-08 06:15:00 【Robert's Tech House】
【Abstract】In order to make the resources of 5G and 4G better synergize and maximize the resource efficiency as a whole, this paper focuses on analyzing how 4G and 5G are deployed in the same frequency band according to 4G and 4G resources.The 5G network load maximizes the utilization of spectrum resources by dynamically sharing spectrum resources at the carrier level.Tests on the existing network have proved that carrier-level dynamic spectrum sharing can increase the number of 5G available RBs by 18% to 55% (compared with 60 M), and the downlink pull rate can be increased by 14% to 32%.4G/5G co-frequency deployment also needs to solve the inter-cell co-channel interference. Therefore, the focus is on frequency selection scheduling through subband CQI, thereby reducing the interference between 4G/5G. Through the current network test, 5G frequency selection scheduling is enabled, and the downlink rate can be adjusted.Increase by 15%~23%.It is recommended to enable carrier-level dynamic spectrum sharing and frequency selective scheduling functions in the early stage of 5G construction to improve spectrum resource utilization and network performance.
【Keywords】4G; 5G; interference processing; frequency selective scheduling; spectrum sharing; carrier-level dynamic sharing
0 Introduction
Although the 5G network has been commercialized, in the early stage of 5G construction, the 4G network is still the main bearer network and still faces huge capacity pressure. At present, 4G/5G is deployed on the same frequency. How can the limited spectrum resources be brought into full play?Essential for wireless networks.The construction of 5G network will introduce dual-mode equipment that supports 5G and 4G, based on hardware AAU (Active Antenna Unit, active antenna unit) to support 160 MHz full spectrum and software to support 4G/5G common mode, the connection between 4G and 5G will beSpectrum sharing can be achieved, that is, according to the characteristics of 4G and 5G services, the number of users, and traffic load, combined with the traffic allocation strategy between 4G carriers, the carrier system can be quickly switched to 4G/5G after 4G traffic migration.Realize the sharing of spectrum resources between 4G and 5G.In fact, multi-standard spectrum sharing, including GSM (Global System for Mobile C
边栏推荐
- don't know what to name
- cnn convolutional neural network backpropagation, convolutional neural network dimension change
- 数据库ADB多个字符,想要导入到ES存为nested的类型,这个支持吗?有对应的文档吗
- 状态压缩复习
- Distributed Transactions: A Reliable Message Eventual Consistency Scheme
- apifox使用文档之环境变量 / 全局变量 / 临时变量附apifox学习路线图
- torch.gather() 用法解读
- uniapp H5 签名横版生成图片
- 【图像处理】matlab基础图像处理 | 图像载入、图像添加噪声、图像滤波、图像卷积
- 分类任务说明
猜你喜欢

【u-boot】u-boot的驱动模型分析

Efficient and beautiful scrolling component Slivers of Flutter tutorial (tutorial includes source code)

How many times the neural network is generally trained, the neural network training time is too long

文件操作 - IO

Redis In Action —— Advanced —— 数据主从同步原理 —— 全量同步 与 增量同步 工作流程及原理 —— 以及如何利用 docker 容器技术快速模拟单机 Redis 集群

stack-queue

APISIX Ingress v1.5-rc1 released

Day7:面试必考选择题

Tensorboard的使用 ---- SummaryWriter类(pytorch版)

李沐老师 PyTorch版——线性回归 + softmax回归的简洁实现(3)
随机推荐
Day7:面试必考选择题
Pit Filling Simulated Hash Table
数字IC设计笔试题汇总(四):一些基础知识点
cnn convolutional neural network backpropagation, convolutional neural network dimension change
Synchronization and Asynchrony of Clocks
postgis 数据表 迁移时错误解决方法
卷积神经网络的基本操作,卷积神经网络卷积计算
梅科尔工作室-深度学习-BP神经网络
使用 Zap 和 W3af 进行 Web 应用程序漏洞评估
李沐老师 PyTorch版——线性回归 + softmax回归的简洁实现(3)
MySQL5
ffmpeg获取视频时长和分辨率
Cs software UI building methods
clue binary tree
Completed - desktop interactive wizard design based on facial expressions (share the results, attach the data set of facial expressions and the yolov5 model trained by yourself and the interactive int
The tests that need to be done in the development of medical device products
什么是 DevOps?看这一篇就够了!
Hundreds of billions, large-scale: performance tuning practice of Tencent's super-large Apache Pulsar cluster
【微信小程序】一文学懂小程序的数据绑定和事件绑定
【分布式】链路追踪 jaeger