Proportional Fair Scheduling Method for Downlink Multi-Users Aided by Statistical Channel Information

Abstract

The embodiment of the invention discloses two proportional fair scheduling methods assisted by using statistical channel information in a downlink multiuser multi-input multi-output transmission system, namely the scheduling matching method and the matching scheduling method, wherein the scheduling matching method mainly comprises the following steps: each user feeds back instantaneous CQI (Channel Quality Indicator) to a base station in each time slot, the base station schedules the first user by using the maximum normalized CQI standard and simultaneously selects other users mutually orthogonal to the statistical characteristic direction of the first user to form a scheduling set; and the matching scheduling method mainly comprises the following steps: the base station makes users with mutually orthogonal statistical characteristic direction form a group, each user feeds back the instantaneous CQI to the base station in each time slot, and the base station selects a scheduling group according to various standards. The invention has the advantages of low feedback expense and low calculation complexity, different scheduling standards can be freely set, the service quality of users is satisfied, and meanwhile, the invention also has the characteristic of considering the throughout and the fairness of the system.

Description

technical field [0001] The invention relates to a multi-user MIMO scheduling technology, in particular to a multi-user scheduling method using statistical channel information and instantaneous channel information. Background technique [0002] At present, in wireless communication systems, although multiple-input multiple-output (MIMO) technology in the physical layer has become a hot technology, it can improve the performance of the system, but in the broadcast channel, that is, the multi-user MIMO downlink transmission system Among them, an effective scheduling algorithm has also become a cutting-edge technology that has attracted much attention. Using it can further effectively utilize the multi-user diversity gain and spatial multiplexing gain to improve system performance. [0003] For broadcast channels, efficient scheduling algorithms rely on feedback techniques between base stations and users. If the user does not feed back channel information to the base station, t...

AI Technical Summary

Problems solved by technology

In order to maximize the throughput of the system, the base station usually uses the maximum sum rate criterion to schedule users, so the users who are closer to the base station have better channel quality and will always occupy the scheduling opportunity of the base station, while users far away from the base station with poor channel quality cannot be scheduled. Scheduling, resulting in "starvation" phenomenon, which will bring about serious unfairness in system scheduling

Images