Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers

Haldorai, Anandakumar; Umamaheswari, K.

doi:10.1007/s10586-017-0798-3

Cited by 304 publications

(46 citation statements)

References 35 publications

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“…An investigation on the Hidden Markov Model (HMM) application for spectrum handover and simulated data showed that in detecting transmission opportunities, this technique can give SUs greater accuracy [70]. Finally, in order to achieve dynamic handover management, Anandakumar and Umamaheswari [71] suggested a supervised Machine Learning (ML) approach referred to as Spectrum Particle Swarm Optimization (SpecPSO), using Visitor Location Register and Home Location Register databases to train the algorithm.…”

Section: Spectrum Handovermentioning

confidence: 99%

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Santana

Cristo

Branco

2021

Sensors

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Unmanned Aerial Vehicles (UAVs) demand technologies so they can not only fly autonomously, but also communicate with base stations, flight controllers, computers, devices, or even other UAVs. Still, UAVs usually operate within unlicensed spectrum bands, competing against the increasing number of mobile devices and other wireless networks. Combining UAVs with Cognitive Radio (CR) may increase their general communication performance, thus allowing them to execute missions where the conventional UAVs face limitations. CR provides a smart wireless communication which, instead of using a transmission frequency defined in the hardware, uses software transmission. CR smartly uses free transmission channels and/or chooses them according to application’s requirements. Moreover, CR is considered a key enabler for deploying technologies that require high connectivity, such as Smart Cities, 5G, Internet of Things (IoT), and the Internet of Flying Things (IoFT). This paper presents an overview on the field of CR for UAV communications and its state-of-the-art, testbed alternatives for real data experiments, as well as specifications to build a simple and low-cost testbed, and indicates key opportunities and future challenges in the field.

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Section: Spectrum Handovermentioning

confidence: 99%

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Santana

Cristo

Branco

2021

Sensors

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“…A new promising approach is to utilize ML techniques with CR to improve the spectral and energy efficiency of the network [252]. The handover between the PUs and SUs during resource sharing is a critical task that needs some dynamic handover schemes to achieve high QoS [253]. Moreover, various AI-based approaches are required for effective resource management in CR networks [254].…”

Section: Cognitive Radiomentioning

confidence: 99%

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

et al. 2020

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With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide to focus on next-generation 6G wireless systems, which are expected to address the constraints. To meet the above demands, future radio network architecture should be effectively designed to utilize its maximum radio spectrum capacity. It must simultaneously utilize various new techniques and technologies, such as Carrier Aggregation (CA), Cognitive Radio (CR), and small cell-based Heterogeneous Networks (HetNet), high-spectrum access (mmWave), and Massive Multiple-Input-Multiple-Output (M-MIMO), to achieve the desired results. However, the concurrent operations of these techniques in current 5G cellular networks create several spectrum management issues; thus, a comprehensive overview of these emerging technologies is presented in detail in this study. Then, the problems involved in the concurrent operations of various technologies for the spectrum management of the current 5G network are highlighted. The study aims to provide a detailed review of cooperative communication among all the techniques and potential problems associated with the spectrum management that has been addressed with the possible solutions proposed by the latest researches. Future research challenges are also discussed to highlight the necessary steps that can help achieve the desired objectives for designing 6G wireless networks.

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“…The Internet of Things (IoT) supports cities connecting disparate public services, infrastructure and networks. Such intelligent cities produce quantitative data in real time to more efficiently monitor initiatives and resources and to assess their effects instantly [13].…”

Section: Role Of Iot In Connected Citiesmentioning

confidence: 99%

An Analysis of Trends, Developments and Transparent Issues in the making of Indian Smart Cities

Jamshed¹

2018

EAI Endorsed Transactions on Smart Cities

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During the past few years, interest has grown in the creation and application of methods, structures for smart city evaluation. This reflects the increasing awareness of the value of systems for better planning and architecture of efficient and stable communities. A city is a vast and permanent human community that offers many resources and opportunities for its people. The rapid urbanization and growth have put a lot of pressure on local services and service delivery. The research discusses many potential resources that can make a city smart across growing city dimensions and also discusses the initiatives of the Indian government towards a Smart city. This paper is a survey of a variety of papers, covering the actual case study from a more comprehensive framework, such as e-mobility, which covers the smart city subject from.

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Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers

Cited by 304 publications

References 35 publications

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Integrating Cognitive Radio with Unmanned Aerial Vehicles: An Overview

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

An Analysis of Trends, Developments and Transparent Issues in the making of Indian Smart Cities

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