A method for spectrum switching in cognitive radio networks that comprehensively considers information age and energy consumption

Abstract

This invention proposes a spectrum switching method for cognitive radio networks that comprehensively considers information age and energy consumption. The method is applicable to narrowband sensing cognitive radio networks with preset information age and energy consumption weight parameters. N The method consists of one authorized user and one cognitive user, with each authorized user assigned an authorized channel. Based on the relative value iterative algorithm theory, a spectrum switching strategy related to information age and energy consumption weight parameters is designed. The effectiveness of the method is ensured by constructing a value function and a relative value function that reflect the influence of the weight parameters and proving the convergence of the functions. Then, the convergence value and threshold structure of the proposed strategy are obtained through iterative calculation. Specifically, at the beginning of each time slot, the cognitive user updates its state based on the switching and transmission decisions of the previous time slot. Based on Bayesian theory, it estimates the occupancy status of each channel using the obtained local known information and channel information. Then, by comparing the expected information age and energy consumption cost of all channels, it determines the channel selected for the current time slot and decides whether to transmit data packets based on the channel perception results.

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