Design of Batch Cooperative Allocation System of Wireless Communication Spectrum Resources in Forest Based on Big Data

Abstract

The stability and reliability of wireless communication in complex forest environment have a
vital impact on forest security. Aiming at the problems of electromagnetic environment
deterioration, spectrum resource shortage, uneven distribution and high correlation in space,
time and frequency domain, this paper proposes a wireless communication spectrum resource
batch cooperative allocation system based on big data analysis. The system consists of three
functional modules: spectrum monitoring and storage, data analysis and processing, and control
center. Firstly, this paper uses distributed data acquisition architecture to collect spectrum
information and GPS information. Then, this paper uses big data analysis technology to predict
the use of spectrum resources in the next time. In this paper, reasonable detection of available
channels, improve the efficiency of spectrum monitoring, optimize the strategy of spectrum
monitoring. In view of the role and influence of feedback signal in cooperative communication,
this paper proposes two design methods of feedback signal from the perspective of data
compression and joint feedback. In this paper, considering the characteristics of users' feedback
signals for cooperative base stations in cooperative communication system, a joint feedback
signal design method is proposed. Secondly, considering that the existing feedback signal
design methods are based on the linear compression, this paper uses the nonlinear compression
method to design the feedback signal, and compares the performance differences between the
two methods. The simulation test results show that the system can effectively process massive
spectrum data and improve the efficiency of wireless communication spectrum resource
allocation in batches.