Linear cognitive radio network-oriented energy supply optimization method

Abstract

The invention relates to a linear cognitive radio network-oriented energy supply optimization method. For solving the problem of equipment charging of the cognitive radio network and the problem of incapability of further promoting the charging efficiency of the wireless charging technique, a mathematical optimization method is adopted for realizing the combined optimization of charging time and charging power in the cognitive radio network on the basis of taking the minimal network end-to-end outage probability as an optimization objective, the charging time is optimized for realizing quick charging while the charging power is optimized and the energy consumption of the cognitive wireless access point is reduced through the reasonably designed energy beacon under the condition of guaranteeing the network performance. According to the method provided by the invention, the sequential execution of wireless data transmission and wireless energy supply can be realized and the network management cost can be effectively lowered.

Description

technical field [0001] The invention relates to a cognitive wireless network technology, in particular to an energy supply optimization method for a linear cognitive wireless network. Background technique [0002] Cognitive wireless networks are based on software radio technology. Cognitive wireless devices in the network can intelligently perceive changes in the external environment, use the "understanding-construction" methodology to obtain information from the surrounding environment, and adjust power, carrier frequency, and modulation methods adaptively and other transmission parameters to adapt to changes in the environment. Dynamic spectrum access is the core technology for the efficient operation of cognitive wireless networks. Currently, there are three main methods: overlay, underlay, and interweave. Among them, the principle of the overlay method is: the cognitive wireless device obtains the opportunity to access the frequency band by assisting the transmission of...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem of cognitive wireless network device charging that needs to be solved urgently and the problem that the charging efficiency of wireless charging technology cannot be further improved, and for the most commonly used linear network topology in industrial wireless measurement and control applications, the technical problem to be solved by the present invention is to use mathematical means, Realize the joint optimization of charging time and charging power in cognitive wireless networks, and propose an energy supply optimization method for linear cognitive wireless networks to further improve charging efficiency

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