Adaptive power distribution system and method for micro cellular base station, and medium

Abstract

The invention discloses an adaptive power distribution system and method for a micro cellular base station and a medium, relates to the field of cellular data processing, and solves the problem of howto minimize the long-term average total transmission power of each piece of user equipment under the condition of meeting the transmission rate of each piece of user equipment. The method comprises the steps that a decision model is built, in the model, a small base station serves as an entity to autonomously sense surrounding interference, and transmitting power is distributed to a service userof the small base station, and the model comprises a virtual agent; the coordination decision of the small base station corresponds to the action of the agent, the continuous action vector forms an action space, the action is evaluated by adopting rewards, all the agents simultaneously take actions, and all the obtained instant rewards form a reward space; the reward feedback is used for optimizing the coordination decision of the small base station, and meanwhile, the reward feedback is used for optimizing the action of the agent: an MARL framework is established in the model to optimize thestrategy, and the strategy is the feedback process of the reward to the action and the coordination decision. Under the condition that the transmission rate of each piece of UE is satisfied, the long-term average total transmission power of each piece of UE is minimized.

Description

technical field [0001] The invention relates to the field of cellular data processing, in particular to an adaptive power distribution system, method and medium for small cellular base stations. Background technique [0002] In the past few years, data traffic has exploded, and smart devices and wearable devices have also rapidly become popular. According to wireless usage statistics, more than 70% of data traffic and 50% of voice calls occur indoors, and users spend more than 80% of their time indoors. [0003] However, the very high penetration loss due to shading by building walls seriously compromises the data rate, spectral efficiency, and energy efficiency of indoor wireless transmission. At the same time, 5G and beyond 5G system requirements will use new higher frequency spectrum, namely: microwave frequency band (3.3-4.2GHz) to meet the demand. [0004] However, higher frequency bands will result in higher losses, thus posing great challenges to indoor coverage. I...

AI Technical Summary

Problems solved by technology

However, in such a complex and dynamic network environment, it may easily cause severe ICI, thereby significantly deteriorating network performance and users' QoS

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