Priority-based wireless resource scheduling method

Abstract

The invention discloses a priority-based wireless resource scheduling method, comprising the following steps: dividing users into three priorities: high, medium and low; calculating a scheduling priority factor of each user, and achieving the scheduling priority ranking for the medium and low priority users according to the size of the scheduling priority factors; detecting whether the high priority user has the data to be sent at each TTI; if yes, preferentially distributing resource blocks (RBs) to the high priority user until the data of all high priority users is sent, and then entering the next step; if not, directly entering the next step; and if remaining RBs exist, distributing the remaining RBs to the medium and low priority users according to the scheduling priority ranking until all the RBs are completely distributed. According to the priority-based wireless resource scheduling method disclosed by the invention, on the basis of preferentially distributing resources to the high priority users, the priority ranking for the medium and low priority users can be achieved by calculating the priority factors, and thus reasonable utilization of the RBs can be achieved.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a priority-based wireless resource scheduling method. Background technique [0002] One of the biggest characteristics of communication in the context of smart grid is that it has various types of services, and the QoS (Quality of Service, service quality) requirements of different services vary greatly. Therefore, it is considered that the business in the smart grid is graded, that is, the business in the grid has different levels for indicators such as delay, throughput, and packet loss rate. Emergency services in the power grid, such as on-site emergency command services, have very strict requirements on service quality, while some periodic reporting services, such as smart meter reading, have a high tolerance for service quality. Due to the wide coverage, high speed, and large capacity of the LTE network, currently domestic smart grids generally use LTE as the basic com...

AI Technical Summary

Problems solved by technology

The QoS factor of high-priority users is larger, thereby improving the performance of users with high real-time requirements; in addition, the length of the queue to be sent in the buffer zone is considered when calculating the scheduling priority, which can increase the priority for users with large amounts of data. level, which improves the system throughput to a certain extent, but this method does not consider the user waiting time

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