Spectrum Decision-Making in Collaborative Cognitive Radio Networks

Giral, Diego; Hernández, César; Rodríguez-Colina, Enrique

doi:10.3390/app10196786

Cited by 10 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Hence, using this categorization, it is possible to choose a suitable spectrum band. The investigator of the current study explores the channel properties, decision processes, and research issues in CRN as per the following [9].…”

Section: Figure 1: Radio Environmentmentioning

confidence: 99%

Select the optimal channel based on improved Bat optimization in the cognitive radio network

mustafa

Najm

Al-Yousif

2022

Preprint

View full text Add to dashboard Cite

A group of nodes that can progress execution automatically by changing their behavior to adapt to the environment is called cognitive radio networks (CRNs). Though several routing protocols inverting the CRNs decisions are proposed to combine the variable degrees of adaptation, these protocols provide quality of service (QoS) assurance to the networks. This study suggests an optimization algorithm based on one of the inspired approaches (particularly the improved bat swarm algorithm) to expedite the reconnaissance for the best paths. It is to create cognitive routing protocols, transmit data packets effectively, and impose complexities as a result of the evolving climate of the reachable spectrum. The optimization problem is being solved using this algorithm. The transmission mechanism is made scalable, effectual, and adaptive with an increasing number of nodes using the bat swarm method presented in this study. This paper suggests a method that more effectively fulfills QoS requirements and demonstrates how to control residual bandwidth, time delay, and packet loss ratio. Meanwhile, the same algorithm also favors service requirements and highlights some important characteristics of the bat swarm algorithm. Finally, simulation results illustrate that the proposed work offers efficient bandwidth exploitation.

show abstract

Section: Figure 1: Radio Environmentmentioning

confidence: 99%

Select the optimal channel based on improved Bat optimization in the cognitive radio network

mustafa

Najm

Al-Yousif

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The second module allows including collaborative decision-making processes through the exchange of information between SU. In (Giral et al, 2020) the structure of the developed collaborative module is described in detail. This module, as shown in Figure 1, is connected to the Spectral Information Module.…”

Section: Collaborative Modulementioning

confidence: 99%

“…For this research, the assigned environments are according to the level of collaboration that presents the most efficient results. This level can be parameterized between 10 % and 100 % (Giral et al, 2020) address this feature in their work, where the authors showed that the range for the collaboration level with the best results is between 20 % and 50 %. As an additional element, this paper analyzed a level of collaboration outside this range.…”

Section: Collaborative Modulementioning

confidence: 99%

Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks

Ramı́rez

Suárez

Martínez

2021

Heliyon

View full text Add to dashboard Cite

Cognitive radio networks (CRN) allow for an increase in spectral efficiency and performance of today's wireless networks. Currently, multiple proposals exist in the area of spectral decision-making and mobility; however, very few evaluate the impact of collaboration between secondary users and the performance of spectrum access by many secondary users. Unlike existing works, this article provides a comprehensive quantitative analysis of the performance of CRN taking into account access to the spectrum simultaneously by multiple users and decision making based on collaboration through the exchange of information between nearby secondary users. This proposal is developed through the implementation of four modules: Input Module, Multi-user Module, Collaborative module and Decision-making module, where the results are evaluated comparatively through the handoff rate generated with two multicriteria techniques: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Criteria Optimization and Compromise Solution (VIKOR). The evaluation is carried out taking into account three levels of collaboration, three multi-user access scenarios, and two multi-criteria techniques for a total of 18 simulation scenarios. The results obtained show the importance of implementing collaboration strategies, as for multi-user access, the number of handoffs increases as the number of serial users increases. TOPSIS presented the best results in 76 % of the analyzed cases where VIKOR generated a smaller number of handoffs; TOPSIS maintained good performance with differences not exceeding 90 handoffs.

show abstract

“…Lo anterior se logra a partir de un modelo de gestión denominado ciclo cognitivo, el cual es una estructura de radio que puede reconfigurarse mediante un proceso continuo de conciencia (tanto de sí mismo como del mundo exterior), percepción, razonamiento y toma de decisiones (Haykin, 2005). El ciclo cognitivo se caracteriza por cuatro funciones principales: detección del espectro, decisión de espectro, movilidad espectral y compartición de espectro (Giral et al, 2020;Hernandez et al, 2020;Hernandez et al, 2020a).…”

Section: Introductionunclassified