A Survey on Proactive and Reactive Channel Switching Techniques in Cognitive Radios

Srivastava, Anushree; Prakash, Arun; Tripathi, Rajeev

doi:10.1007/978-981-15-6840-4_59

Cited by 1 publication

(1 citation statement)

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“…This leads to dynamic access, where unlicensed use must ensure fair allocation strategies that improve service quality indicators and also present low levels of interference with other users. Under these characteristics, cognitive radio (CR) will play an increasingly critical role in future wireless communications (Pooja et al, 2021;Srivastava et al, 2021). CR emerged 20 years ago as a technology to overcome scarcity problems using dynamic access to the spectrum.…”

Section: General Contextmentioning

confidence: 99%

Spectral decision for cognitive radio networks in a multi-user environment

Giral¹,

Hernández²,

Salgado³

2021

Heliyon

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Cognitive radio networks promote better spectral efficiency of the electric radio spectrum. The vast majority of current spectral decision models for cognitive radio networks evaluate their performance based on a single secondary user. In reality, the network can experience multiple requests from spectral opportunities. Based on this, the intent of this article is to present and evaluate a spectral decision model for cognitive radio networks in a multi-user environment taking into account the effect of the decisions of the SU on the usefulness of the other SU. To achieve this, a spectral decision model was developed that allows secondary users to share relevant information before accessing the spectrum so that they can select the most appropriate spectral opportunities. The evaluation and validation of the model was performed using three multicriteria decision-making algorithms under the metric of the number of total handoffs in a conventional scenario and a real scenario, in the conventional scenario, only users that match the input of the multiuser module are included; in the real scenario, in addition to the conventional users, users that enter and leave at random times are included, a feature that alters the models for estimating the behavior of the radio environment. The results show better performance of the TOPSIS algorithm over VIKOR and SAW. The most important contribution of this work is the evaluation of the performance of the spectral decision algorithms implemented in a multi-user environment that allows multiple access and exchange of information between users, with experimental spectral occupation data.

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Section: General Contextmentioning

confidence: 99%