Cervantes-Junco, G.B.; Rodriguez-Colina, E.; Palacios-Luengas, L.; Pascoe-Chalke, M.; Lara-Velázquez, P.; Marcelín-Jiménez, R. Decision-Making Algorithm with Geographic Mobility for Cognitive Radio. Sensors2024, 24, 1540.
Cervantes-Junco, G.B.; Rodriguez-Colina, E.; Palacios-Luengas, L.; Pascoe-Chalke, M.; Lara-Velázquez, P.; Marcelín-Jiménez, R. Decision-Making Algorithm with Geographic Mobility for Cognitive Radio. Sensors 2024, 24, 1540.
Cervantes-Junco, G.B.; Rodriguez-Colina, E.; Palacios-Luengas, L.; Pascoe-Chalke, M.; Lara-Velázquez, P.; Marcelín-Jiménez, R. Decision-Making Algorithm with Geographic Mobility for Cognitive Radio. Sensors2024, 24, 1540.
Cervantes-Junco, G.B.; Rodriguez-Colina, E.; Palacios-Luengas, L.; Pascoe-Chalke, M.; Lara-Velázquez, P.; Marcelín-Jiménez, R. Decision-Making Algorithm with Geographic Mobility for Cognitive Radio. Sensors 2024, 24, 1540.
Abstract
According to the cognitive radio (CR) paradigm, the efficient use of the radio spectrum is achieved by performing four main functions: spectral perception, spectral mobility, decision-making, and cooperation. In this work, a multivariable algorithm that considers geographic mobility (GM) is presented. The decision-making process includes a feedback mechanism for the dynamic selection of reservation channels in a wireless network with cognitive capabilities. Geographic mobility plays a crucial role in how radio takes advantage of its environment; however, it has been scarcely explored in the literature.
In the present work, geographic mobility tests were carried out involving the interaction of CR and primary users (PU), where a measurement of the latency time of the proposed algorithm called: Algorithm for Decision-Making with Geographic Mobility (ATDeMoGeo) was evaluated and compared with other algorithms such as: Dijkstra's Algorithm, Analytic Hierarchical Process (AHP), Fuzzy Analytic Hierarchical Process (FAHP) and Decision-Making Algorithm with Modified Dijkstra (ATDDiM).
It was found that the proposed algorithm is robust and that it considerably reduces the latency time to accurately determine the best communication channels, thanks to the decision-making function implemented to establish which channels the CRs can occupy. For the selection of the best reserve channels, a series of criteria were considered, such as: signal-to-interference plus noise ratio (SINR), bandwidth (BW), probability of channel availability (AP), estimated channel time of availability (ETA) using the random waypoint mobility model (RWPM). These criteria are evaluated for two types of service, i.e., real time (RT) and best effort (BE). For the evaluation and validation of the ATDeMoGeo algorithm, a network with cognitive characteristics in NS-3 was simulated. The simulation scenarios consisted of a base station (BS) with mobile CRs and PUs. Based on the previous criteria, i.e., BW, SINR, AP and ETA, the BS assesses the spectrum occupancy information obtained by the CRs. The results show that the proposed algorithm can be used without problem for the proposed scenarios with higher speed and accuracy for the selection of better communication channels.
Keywords
Cognitive-Radio, Decision-Making, Geographic Mobility in Cognitive Radio, Location and Handover Management
Subject
Engineering, Telecommunications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
,
,
*
,
,
