Utilization and Fairness in Spectrum Assignment for Cognitive Radio Networks: An Ant Colony Optimization's Perspective

Song, Xiaoou

doi:10.1109/wcsn.2014.15

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…In order to ensure the optimal spectrum allocation, the authors have started utilizing a graph-based approach [133][134][135] for maximizing the spectral efficiency. In a previous work, 136 the authors have utilized a matrix graph-based framework by combining matrix graph coloring (MGC) and maximum weighted independent set (MWIS) to achieve optimal performance against the influence of interference.…”

Section: Iot Communication Technologiesmentioning

confidence: 99%

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Kandar

Chyne

Sur

et al. 2023

Int J Communication

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The most well-known sort of remote Internet connection is wireless local area networks (WLANs) due to its unsophisticated operation and deployment. Subsequently, the quantity of gadgets getting to the Internet through WLANs, for example, PCs, cell phones, or wearables, is expanding radically at the equivalent time that applications' throughput necessities do. To provide wireless networks with supplementary spectral resources, the researchers are considering the aggregation of frequency spectrums in licensed, unlicensed, and shared access (SA) bands. Channel aggregation/channel bonding (CA/CB) techniques accumulate quite a few channels together as one channel for the purpose of achieving better bandwidth utilization. In this study, we focus on reliable CA/CB techniques in different wireless networks. CA/CB procedures are utilized for empowering higher information rates by transmitting in more extensive channels, accordingly expanding range proficiency with the assured secure channel for communication. We also discuss the spectral scarcity issues in today's wireless IoT network. This paper presents an extensive survey on CA/CB procedures and methods, issues and challenges, and open research areas related to IoT devices. We analyze the performance of channel CA/CB strategies in the different wireless networks too.

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Section: Iot Communication Technologiesmentioning

confidence: 99%

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Kandar

Chyne

Sur

et al. 2023

Int J Communication

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“…In recent years, there have been many studies dealing with spectrum management in cognitive radio networks [16]. In a different study, the question of how to select the target channels to minimize the total service time arising from multi-spectrum handoff has been discussed [17]. Besides, a pre-defined spectrum handoff approach in cognitive radio ad-hoc networks is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…He has proposed that the ant source coding algorithm be used to manage and allocate channel resources dynamically in cognitive radio networks. Song [17] solves the assignment process from the perspective of ant colony optimization, taking into account the concepts of use and justice in spectrum assignment. Zhu [18] proposed an ant colony optimization algorithm that was developed to increase spectrum utilization.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Ant Colony for Next Generation Wireless Cognitive Networks

Bayrakdar

Çalhan

2021

Politeknik Dergisi

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“…ACO [10] was first introduced by Dorigo in 1992, which is a popular means of dealing with assignment issues. The basic idea of ACO comes from the natural phenomena that ants can find the shortest path between nest and food efficiently due to their positive feedback attribute [11]. However, ACO is prone to being premature and stagnate when the problem scale is too big.…”

Section: Introductionmentioning

confidence: 99%

A Novel Spectrum Scheduling Scheme with Ant Colony Optimization Algorithm

et al. 2018

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Cognitive radio is a promising technology for improving spectrum utilization, which allows cognitive users access to the licensed spectrum while primary users are absent. In this paper, we design a resource allocation framework based on graph theory for spectrum assignment in cognitive radio networks. The framework takes into account the constraints that interference for primary users and possible collision among cognitive users. Based on the proposed model, we formulate a system utility function to maximize the system benefit. Based on the proposed model and objective problem, we design an improved ant colony optimization algorithm (IACO) from two aspects: first, we introduce differential evolution (DE) process to accelerate convergence speed by monitoring mechanism; then we design a variable neighborhood search (VNS) process to avoid the algorithm falling into the local optimal. Simulation results demonstrate that the improved algorithm achieves better performance.

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Utilization and Fairness in Spectrum Assignment for Cognitive Radio Networks: An Ant Colony Optimization's Perspective

Cited by 11 publications

References 5 publications

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Optimization of Ant Colony for Next Generation Wireless Cognitive Networks

A Novel Spectrum Scheduling Scheme with Ant Colony Optimization Algorithm

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