A workstation regrouping method in 5g network

Abstract

The invention belongs to the technical field of mobile communication, and specifically relates to a method for regrouping workstations in a 5G network, including using the PS-Poll frame start transmission time of all workstations as an inspection indicator for hidden nodes to detect hidden node relationships in the network; After the access point obtains the PS-Poll frame transmission time of the workstation, it determines the hidden node relationship between the workstations and builds a hidden relationship matrix; the access point quantifies the expected service requirements reported by the workstations into different service levels, and builds the expected Business demand table; integrate the expected business demand table into the hidden node relationship matrix to form a hidden business table with a comprehensive understanding of the potential impact of hidden nodes; regroup workstations according to the detected hidden business table during each TBTT; The throughput of the STA regrouping method of the present invention is 40% higher than that of the existing random grouping method.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a workstation regrouping method in a 5G network. Background technique [0002] With the rapid popularity of embedded devices, Internet of Things (IoT) communication is becoming the main communication mode for various emerging smart services including smart cities, smart meter reading, medical monitoring, agricultural monitoring, and industrial automation . New applications and services for these scalable smart systems require connecting together a large number of smart devices (sensors, robots, controllers, etc.). For IoT applications with large-scale terminal nodes, how to effectively connect a large number of terminals to the same access point (Access Point, AP) is the focus of research. The IEEE 802.11ah network is mainly composed of workstations (Station, STA) and APs. An 802.11ah AP can associate up to 8192 STAs within a communication range of 1Km...

AI Technical Summary

Problems solved by technology

Previous studies mainly focused on improving the performance of packet-based competition schemes, such as by adjusting the number of RAW slots or RAW duration to achieve the best performance, but in these studies, it is assumed that the network is fully connected, that is, there is no Hidden node problem, which means that the existing group-based competition mechanism cannot effectively solve the hidden node problem, and the IEEE 802.11ah standard does not specify a specific STA grouping scheme, and the existing STA grouping method usually just randomly assigns STAs into different groups

This random allocation method will lead to an increase in potential conflicts within the group for STAs with high traffic demands

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