Adaptive configuration method for radio communication parameters, and transmitter

Abstract

The invention discloses an adaptive configuration method for radio communication parameters, and a transmitter. The method comprises the steps: obtaining a sensing frequency band signal x(n) of a preset set region through sensing; obtaining W subband signals xi(n) with the same suband width through coefficient extraction and multiphase decomposition; calculating the subband energy detection values and SNR (Signal to Noise Ratio) of the W subband signals xi(n), generating subband channel parameters and the numbers of idle subbands, adjusting W values according to the numbers of idle subbands to a W relative value, dividing the subbands again, or executing the optimization configuration; selecting a subband with the optimal channel state and the maximum SNR in the subband channel parameters as a preset channel, carrying out the optimization of a target configuration parameter of the preset channel through a quantum dolphin group algorithm, and outputting the optimized target configuration parameter. Based on the cognitive self-adaption, the method can achieve the broadband frequency spectrum quick sensing with the adjustable resolution and the optimization configuration of radio communication configuration.

Description

technical field [0001] The invention relates to the field of cognitive radio communication, in particular to a radio communication parameter adaptive configuration method and a transmitter. Background technique [0002] With the rapid development of wireless interconnection technology, the demand for spectrum resources of various services has increased sharply, and the contradiction between supply and demand of spectrum resources has become increasingly prominent. The cognitive radio (Cognitive Radio, CR) system can realize the adaptive reconfiguration of multiple target transmission parameters by sensing the external communication environment and using intelligent optimization algorithms, so as to improve the spectrum utilization rate and solve the increasingly serious shortage of spectrum resources. problems, and the main technical means to improve communication efficiency. [0003] Spectrum sensing technology includes filter bank, wavelet detection, OFDM receiver, channe...

AI Technical Summary

Problems solved by technology

Among them, the spectrum sensing technology based on DFT polyphase filter bank has technical advantages such as good frequency characteristics, can eliminate the influence of aliasing, and has an efficient implementation structure, which can greatly improve the processing speed of the cognitive radio system. It is widely used, but it also has the following deficiencies in practical applications: (1) The degree of automation for filter bank reconstruction is not high, and some methods need to manually load configuration files to the reconfigurable area; (2) Filter bank for functional reconstruction It takes a long time to construct, so it is not suitable for occasions with high real-time requirements

[0004] Radio parameter adaptive optimization models, including optimization models based on particle swarm optimization, ant colony algorithm and quantum bee colony. These models are improvements to traditional intelligent optimization algorithms and increase the complexity of the algorithm. The algorithm takes a long time and is not suitable for occasions with high real-time requirements

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