Multi-user energy collection cognitive radio system

Abstract

The invention provides a multi-user energy collection cognitive radio system in order to solve the problems of frequency spectrum uncertainty, multi-user frequency spectrum access selection and frequency spectrum sensing, access and energy collection action selection in multi-user cognitive radio. The system comprises a spectrum access strategy combined with distributed cooperative sub-broadband spectrum sensing, a spectrum sensing, access and energy collection action selection strategy learning method and a strategy implementation method. The system scheme is suitable for a distributed energycollection secondary user system, comprises the following steps: selecting an optimal sub-band from sub-bands obtained by sensing for access, intelligently deciding whether each time slot is suitablefor energy collection or information transmission, intelligently and reasonably skipping some spectrum sensing processes and the like. Therefore, the system has the obvious advantages of low controlchannel overhead, low energy consumption, high data transmission rate and the like, and has a certain engineering reference value for the design and implementation of an actual energy collection cognitive radio system.

Description

technical field [0001] The present invention relates to the field of wireless communication, and more specifically, relates to a multi-user energy harvesting cognitive radio system. Background technique [0002] With the development of the fifth-generation mobile communication technology (5G), the user access requirements in the communication system are increasing day by day, and spectrum resources are increasingly scarce. Secondary users need to perceive idle sub-bands on a high-bandwidth frequency band for access. Due to the current The sampling technology in the actual engineering system cannot meet the Nyquist sampling rate of high-bandwidth signals, so it is necessary to sample at a sampling frequency lower than the Nyquist rate when performing wideband spectrum sensing. At the same time, in order to suppress channel fading and sampling noise, requires an efficient multi-user cooperative sub-Nyquist spectrum sensing algorithm. In a multi-user system, after each user pe...

AI Technical Summary

Problems solved by technology

However, the above comparison documents cannot realize that when combining cognitive radio with energy harvesting technology, it is necessary to decide whether the user performs spectrum sensing and access or energy harvesting, so as to ensure the normal energy supply of the system and maximize the throughput of the system quantity problem

Images