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 ...

Examples

Embodiment Construction

[0045] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0046] Step 1, set the initialization parameters.

[0047] Suppose the number of base station transmission modes is F, the number of users to be served is M, and the mean vector of transmission probability is g t =(g 1,t ,..., g k,t ,..., g F,t ), where g k,t Indicates the mean value of the normal distribution of the transmission probability of the kth transmission mode of the base station, the initial value The emission probabilities all obey the normal distribution;

[0048] Since the standard deviation of the normal distribution determines the sampling range of the emission probability, when the standard deviation is large, the sampling range is large and the number of iterations is small, but the final result will be inaccurate; and when the standard deviation is small, the sampling The range is small. Although a more accurate solution can be obtained, it will ca...

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 ...

Examples

Embodiment Construction

[0045] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0046] Step 1, set the initialization parameters.

[0047] Suppose the number of base station transmission modes is F, the number of users to be served is M, and the mean vector of transmission probability is g t =(g 1,t ,..., g k,t ,..., g F,t ), where g k,t Indicates the mean value of the normal distribution of the transmission probability of the kth transmission mode of the base station, the initial value The emission probabilities all obey the normal distribution;

[0048] Since the standard deviation of the normal distribution determines the sampling range of the emission probability, when the standard deviation is large, the sampling range is large and the number of iterations is small, but the final result will be inaccurate; and when the standard deviation is small, the sampling The range is small. Although a more accurate solution can be obtained, it will ca...

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