Base station turn-off energy-saving method and device based on post-decision state learning

Abstract

The invention relates to a base station turn-off energy-saving method and device based on post-decision state learning, and the method comprises the following steps: S1, classifying users in a macro-micro network according to an association rule, defining the number of various types of users as a network state, and defining the on / off operation of each base station as a network action; S2, mappingthe energy-saving problem with limited time delay into a CMDP model, and describing dynamic change conditions of various services in the network; s3, calculating a pre-decision state and a post-decision state of the base station in each time period, and learning an unknown post-decision state after the turn-off strategy is executed according to the known pre-decision state before the turn-off strategy is executed; s4, in each time period, iteratively updating the value function and the post-decision state value function; first, using a post-decision state value function to update a value function; updating the decision state value function by using the updated value function; and repeatedly updating until a preset condition is met to obtain an optimal base station turn-off energy-saving strategy.

Description

technical field [0001] The invention belongs to the technical field of mobile communication, and in particular relates to a base station shutdown energy-saving method and device based on post-decision state learning. Background technique [0002] With the continuous increase of the number of users in the wireless cellular network and the continuous improvement of the required data rate, the scale of the cellular network is also gradually expanding. The huge network scale and more wireless devices have caused huge energy consumption, which is harmful to the environment. and the economy have had severe repercussions. In order to improve the environmental and economic benefits of cellular networks, energy saving and emission reduction has become an important design goal of current communication networks. In order to meet the increasing user demands in cellular networks while reducing network energy consumption, wireless macro-micro networks have become one of the current hot r...

AI Technical Summary

Problems solved by technology

The survey results show that more than 40% of the time every day, the network traffic volume is less than 10% of the peak traffic volume. If all base stations are still turned on when the network load is low, it will obviously cause a waste of network bandwidth resources and energy resources.

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