Multi-user multiple input multiple output (MU-MIMO) based stream distribution proportional fairness scheduling method

Abstract

The invention discloses a multi-user multiple input multiple output (MU-MIMO) based stream distribution proportional fairness scheduling method, mainly solving the problem of proportional fairness scheduling ignoring user service quality in the prior art. The method comprises a first step of setting corresponding parameters according to a practical scheduling problem; a second step of computing a user weight in a utility function according to the fact that an emission probability meets mean values in normal distribution; a third step of generating sample values of the emission probability and computing a utility function value of a sample according to the user weight; a fourth step of screening out sample values with good performance so as to update the mean values in normal distribution; a fifth step of recording the change condition of the mean values and switching variances of different phases according to a corresponding rule; and a sixth step of ending an iterative process according to a termination condition, so as to obtain a scheduling result meeting proportional fairness. A satisfactory scheduling result can be obtained whether under the condition of sufficient available wireless resource or under the condition of insufficient available wireless resource, the computation complexity is low, the iterations are few, the scheduling efficiency of a base station is improved, and the method is applicable to a single base station system adopting an MIMO technology.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to an MU-MIMO-based stream distribution proportional fair method, which can be used in a single base station system adopting MIMO technology. Background technique [0002] With the urgent demand for high data transmission rate systems today, 802.11ac, as a new generation of wireless local area network technology standard following 802.11n, has received widespread attention. 802.11ac consists of several important technologies, including what is known as multi-user multiple-input multiple-output MU-MIMO technology. MU-MIMO means that multiple users communicate with the base station in the same time-frequency resource, where both the base station and the user end have multiple antennas. MU-MIMO not only realizes space division multiplexing in the communication of a single user, but also realizes space division multiple access among multiple users, so MU-MIMO can not only ...

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Problems solved by technology

[0005] The above methods only study the situation of average resource allocation, but ignore the impact of each user's service quality requirements on resource allocation, especially when the available resources are insufficient, these average allocations are not the best allocation schemes, because in When resources are insufficient, users with high service quality requirements are allocated relatively less resources, while users with low service quality requirements are allocated relatively more resources, which is unfair

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