Energy acquisition relay system adaptive modulation method based on machine learning

Abstract

The invention discloses an energy acquisition relay system adaptive modulation method based on machine learning. The method particularly comprises the following steps that a sender determines the adopted modulation mode according to the state of a data cache of a relay, so that data sending does not exceed the storage capacity of the relay; according to data sent by the sender and channel state information and energy acquisition state information in a period of time, the relay determines the optimal modulation modes adopted by the relay in the period of time to achieve the goal of increasing the total throughput of the system; and the modulation modes and the channel state information are taken as training data, channels are divided into different classes according to the modulation modesby means of a classification algorithm, and the scopes of the classes are determined. According to the method, all nodes adopt an MQAM modulation mode to send signals in a single-relay wireless communication scene, and the nodes need to adaptively determine the currently-adopted modulation mode by means of a machine learning method according to current time slot system information to achieve the goal of increasing the total throughput of the system.

Description

technical field [0001] The invention is based on the field of communication technology, and in particular relates to an adaptive modulation method for an energy harvesting relay system based on machine learning. Background technique [0002] In recent years, with the development of wireless communication technology, the application of wireless services has become more and more extensive, and the energy consumption has increased, so green communication has become the focus of attention. Energy harvesting technology means that a node collects energy from the surrounding environment and uses it to send its own information as the sending power. Energy harvesting technologies are not only environmentally friendly due to harvesting energy from the environment, but also prolong the life of energy self-sufficient devices. At the same time, as the communication range expands, the communication quality of edge users decreases due to the increase of channel fading. Cooperative relay ...

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Problems solved by technology

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, provide an adaptive modulation method for the energy harvesting relay system based on machine learning. The present invention can only obtain the channel information at the current moment for the actual scene node, but cannot predict the future channel State problem, construct a scheme using classification algorithm to determine node modulation mode

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