Wireless self-backhauling resource scheduling method based on system stability

Abstract

The invention relates to a wireless self-backhauling resource scheduling method based on system stability, and belongs to the field of mobile communication. The method ensures system queue stability,wireless backhauling constraint conditions and rate matching corresponding to a system achievable rate and minimum user service quality, i.e., an overflow probability meets a certain constraint, and aiming to maximize a grade of relative user quality satisfaction, the method carries out dynamic resource scheduling. In each discrete time slot, according to a queuing case with combined considerationto channel state information of users, a macro base station and a mini base station, suitable wireless resources are allocated to each user, and according to the overflow probability, a queue lengthis dynamically regulated so as to change a system actual achievable rate, combined dynamic regulation on the wireless self-backhauling mini base station and a backhauling and access resource allocation ratio of each user. The wireless self-backhauling resource scheduling method based on system stability, which is disclosed by the invention, can keep system queue stability when maximizing the gradeof relative user quality satisfaction.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to a wireless self-backhaul resource scheduling method based on system stability. Background technique [0002] Driven by the rapid development of the mobile Internet and the growing demand for IoT services, 5G connection equipment density is required to increase by 10 to 100 times, and the spectral efficiency is increased by 5 to 10 times to ensure user experience at a speed of 500km / h. In order to meet the above requirements, the network architecture of 5G in the future will be based on ultra-dense heterogeneous networks, cloud computing technologies, etc., and Wireless Self-backhaul Networks (Wireless Self-backhaul Networks) will serve as the core of 5G ultra-dense networks (Ultra DenseNetwork, UDN). basic components. In the coverage area of ​​macro base stations, low-power small base stations are deployed to enhance coverage, and wireless millimeter waves or microwaves are use...

AI Technical Summary

Problems solved by technology

[0003] In the existing resource allocation schemes, most of them allocate resources statically, with maximization of throughput or spectrum efficiency as the optimization goal, often ignoring issues such as dynamic adjustment of resources and user service quality

In addition, the common optimization goal only considers the optimization of the problem at a certain moment, which is not suitable for the actual situation in which the optimization variables change with time in the actual process.

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