Radio communication parameter adaptive configuration method and transmitter

Abstract

The present invention discloses a radio communication parameter self-adaptive configuration method and a transmitter, wherein the self-adaptive configuration method includes: obtaining the sensing frequency band signal x(n) of a preset section through perception; x(n), get W subband signals x with the same subband bandwidth i (n); Calculate the W subband signals x i (n) Corresponding subband energy detection value and signal-to-noise ratio, generate subband channel parameters and the number of idle subbands, according to the relative value of the number of idle subbands and W, or adjust the value of W, re-subdivide subbands, or execute Optimal configuration: select the subband with the best channel state and the largest signal-to-noise ratio among the subband channel parameters as the pre-use channel, use the quantum dolphin swarm algorithm to optimize the target configuration parameters of the pre-use channel, and output the optimized target configuration parameters. The invention is based on cognitive self-adaptation, and can realize fast sensing of broadband frequency spectrum with adjustable resolution and optimal 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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