Multi-factor decision making method based on user requirements in cognitive radio network

Abstract

The invention discloses a multi-factor decision making method based on user requirements in a cognitive radio network. The method comprises the following steps that firstly, a frequency spectrum is pre-allocated according to available channel information in a Database (database), so that the probability for each secondary user to obtain the frequency spectrum if each secondary user participates in perception is obtained; secondly, each secondary user takes the conditions, such as pre-allocation probability and the own electric quantity, as a reference to comprehensively decide whether to participate in real-time perception, the secondary users deciding to participate in perception collaborate to carry out real-time perception, and the frequency spectrum is allocated according to a real-time perception result; and lastly, satisfaction of the secondary users in the whole network is investigated. According to the method, the precision of a perception result and the stability of the whole network are guaranteed; the perception and the allocation are comprehensively considered, namely the influence of the common spectrum sensing on the spectrum allocation is considered and the reaction of the spectrum allocation about the spectrum sensing is given, and the situation is inconsistent in the prior art and is blank in the technical field.

Description

Technical field [0001] The invention belongs to the field of communication technology, and in particular relates to a multi-factor decision-making method based on user needs in a cognitive radio network. Background technique [0002] With the continuous development of demand for data communication services and the continuous improvement of communication technology, 4G networks are currently widely used by people with ultra-high data transmission rates. However, the coverage of 4G network needs to be improved. In some suburbs and scenic spots, there may not be 4G network coverage, and even the basic 2G network signal is very poor, making it impossible to access the Internet in remote suburbs. Not only that, but in some urban areas. Relatively closed restaurants and other places have poor network signals. But nowadays when traveling, taxis are often needed. Taxi-hailing software has become popular. Didi Taxi, Easy-to-use Taxi and other taxi-hailing software have been accepted by p...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-factor decision-making method based on user needs in cognitive radio networks, aiming to solve the problem of how secondary users decide whether to participate in spectrum sensing in existing cognitive radio networks

Images