Resource scheduling method and base station

Abstract

The invention discloses a resource scheduling method. The method comprises the following steps: generating category information of user terminals based on capability information sent by the user terminals and establishment information carried by the service of the user terminals, obtaining scheduling parameters of the user terminals, calculating scheduling weights of the user terminals based on the scheduling parameters of the user terminals, distributing the user terminals needing to transmit data into a scheduling queue matched with the category information of the user terminals, ranking theuser terminals in the scheduling queue based on the scheduling weights of the user terminals from large to small, and allocating transmission resources to the user terminals based on the sequence ofthe user terminals in the scheduling queue from front to back. The complexity and calculation amount of the base station scheduling processing are reduced, the resource allocation efficiency is improved, the processing load and processing time of the base station are reduced, and a single base station can process more service requests of the user terminals.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a resource scheduling method and a base station. Background technique [0002] With the continuous development and maturity of mobile Internet and Internet of Things services, the number of user terminals connected to the base station has greatly increased. In addition to the previous mobile terminals, a large number of Internet of Things terminals will also be connected. The Internet of Things terminal is mainly oriented to application scenarios such as smart cities, environmental monitoring, intelligent agriculture, and forest fire prevention that target sensing and data collection, and has the characteristics of small data packets, low power consumption, and massive connections. Such terminals are widely distributed and numerous in number, which requires the base station to have the ability to support large-scale connections and meet the access and service requi...

AI Technical Summary

Problems solved by technology

When a large number of IoT terminals are connected to the base station, because the business of the IoT terminal is mainly small data packets, the traffic and transmission times of the business are very low, which is very different from the business characteristics of mobile terminals. The base station needs to process a large number of The data transmission request of the user terminal, the processing load and processing time of the scheduling process will greatly increase, it is difficult to guarantee the timing requirements of the LTE (Long Term Evolution, Long Term Evolution) system, and the fairness of scheduling processing and resource allocation efficiency are also declining. Some base stations The physical resources cannot be allocated and wasted. At the same time, some of the connected user terminals cannot obtain appropriate resources for service data transmission through scheduling, resulting in increased service delays and even service interruptions for user terminals.

In the prior art, the method adopted by the base station is to limit the total number of user terminals accessed by the base station to ensure the service performance of the connected user terminals, and at the same time increase the number of base stations to meet the service needs of more user terminals, which not only increases the equipment cost , which also makes the physical resources of the original base station not fully utilized

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