Learning-based multi-criteria user selection method of amorphous cell

Abstract

The invention relates to a learning-based multi-criteria user selection method of an amorphous cell, and belongs to the technical field of wireless communication. According to the method, users having access to a secondary cell are selected and transmitting power of the users is designed, so that interference between a primary cell and the secondary cell is restrained within certain threshold values; then, the multi-criteria user selection method with high flexibility is used for selecting served secondary users, so that the coverage area of the secondary cell is changed, meanwhile, the system capacity of the secondary cell is maximized, and design of the amorphous cell is achieved. Dynamic adjustment of the shape of the cell can be achieved, meanwhile, the system capacity of the secondary cell is maximized, and a compromise between user fairness and system performance is obtained.

Description

technical field [0001] The invention relates to a learning-based multi-criteria user selection method for an amorphous cell, belonging to the technical field of wireless communication. Background technique [0002] With the continuous development of wireless communication, the contradiction between the increasing wireless communication needs of users and the limited radio frequency resources continues to increase. In a traditional macro cell cellular network, communication has peak hours and idle periods. Since the spectrum in the idle period is not utilized, the overall utilization rate of the allocated spectrum resources is very low, resulting in a waste of spectrum resources. In order to improve the utilization of spectrum resources, low-power nodes are introduced to share the spectrum of macro cells, that is, a hybrid network of low-power nodes is deployed in the entire macro cell. Such nodes are not only relatively low in cost, but also can effectively improve network c...

AI Technical Summary

Problems solved by technology

The maximum carrier-to-interference ratio method guarantees the maximum throughput of the cell, but it is difficult for users far away from the base station to obtain corresponding services, which leads to large differences in user fairness, and the coverage of the base station is small; although the polling method guarantees The fairness of each user is improved, but the throughput of the system decreases due to the increase in the service times of users with poor channel conditions; the proportional fairness method is a compromise method based on system throughput and user fairness, but this The method has very strict requirements on the length of the time window, which is generally enough to cover fast fading changes, and will bring additional delay

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