Multiuser proportion fair scheduling system and method

Abstract

The invention discloses a multiuser proportion fair scheduling system which comprises a base station, a plurality of terminals and a signal to noise ratio calculating module, wherein the base station comprises an average request rate recording and updating module, an average transmission rate recording and updating module, a pilot frequency symbol module, an instant request rate calculating module, a user selecting module and a data symbol module; wherein the user selecting module is used for calculating the priority coefficient of each user according to an average request rate recorded by the average request rate recording and updating module, an average transmission rate recorded by the average transmission rate recording and updating module, an instant request rate calculated by the instant request rate calculating module and an index parameter and selecting a user or a user set with a maximum priority coefficient as an alternative transmission user. The method of the system can guarantee the multiuser scheduling fairness of a closed loop MIMO (Multiple Input Multiple Output) system when the channel states of all users are obviously different. The invention also discloses a multiuser proportion fair scheduling method.

Description

technical field [0001] The present invention relates to multiple-input multiple-output (MIMO) communication technology, more specifically, the present invention relates to multi-user scheduling technology in MIMO system. Background technique [0002] A closed-loop MIMO system typically sends feedback channel state information from a receiving end to a transmitting end, and the transmitting end selects an appropriate user for transmission according to the feedback channel state information. Although the feedback channel state information consumes bandwidth that would otherwise be used for data traffic, it helps improve system performance. For a closed-loop MIMO system, the index for evaluating system performance is often the system throughput, that is, the sum of the amount of data received and sent by all users in the system. But in the actual system, it is not enough to only consider the throughput of the system. Some users who are far away from the base station and in rel...

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Problems solved by technology

[0003] However, practice has proved that when the channel states of each user are similar, the proportional fair scheduling method can ensure the fairness of multi-user scheduling in the closed-loop MIMO system, and the fairness of the system is good. However, when the channel states of each user are significantly different, the channel quality difference When it is exacerbated, the proportional fair scheduling method is not enough to ensure the fairness of multi-user scheduling in the closed-loop MIMO system due to the characteristics of the algorithm itself, and the fairness of the system is not good

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