Dynamic scheduling method and device for maximizing scheduling user gathering potential

Abstract

The invention discloses a dynamic scheduling method and device for maximizing scheduling user gathering potential, which are used in the scenario where a base station performs selective scheduling when facing large-scale user terminals. Firstly, the feasible user set is obtained by screening the user SINR and business requirements. Then construct different user subsets in the feasible user set, and find a user subset that meets the service requirements of all users in the set and has the smallest total transmission power as the scheduled user set. Then take out a user from the scheduled user set that has been put back, and use the remaining user set as the user set to be optimized, select a user set to be optimized with the smallest total transmission power, and record the taken out user. If the last joining user in the scheduled user set is the same as the recorded take-out user, then output the scheduled user set and the corresponding beamforming vector. The invention can perform user scheduling and beamforming optimization at the same time, and has the advantages of low time complexity, large number of scheduling users, small interference between scheduling users, and the like.

Description

technical field [0001] The present invention relates to the communication resource allocation problem in the communication scene satisfying the specific rate requirement, and in particular relates to a dynamic scheduling method and device for maximizing the scheduling of user concentration. Background technique [0002] In recent years, with the explosive growth of Internet and Internet of Things application requirements, the contradiction between the limited spectrum resources faced by wireless communications and the continuously growing wireless service requirements has become increasingly prominent. In order to support higher-speed wireless transmission, the fifth-generation (5G) and post-5G mobile communication systems will use high-frequency millimeter-wave communication on the basis of utilizing lower frequency band resources to meet the user's "Quality of Experience (QoE) )” as the center of wireless communication needs. Compared with the fourth generation (4G) mobil...

AI Technical Summary

Problems solved by technology

In the uRLLC scenario, in order to minimize the transmission delay, data with a finite block length (channel usage) is usually sent, so that the traditional Shannon formula assumes the condition (assuming that the code word length of the channel coding and the block length allowed to carry data grow without limit ) cannot satisfy

On the other hand, it is noted that these user scheduling algorithms usually only consider the orthogonality of user channels or maximize the network capacity, but do not specifically consider the specific service requirements of different users, such as minimum rate requirements, reliability requirements, etc.

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