Comparative evaluation of cyclostationary detection based cognitive spectrum sensing

Ilyas, Ikram; Paul, Shuva; Rahman, Akhlaqur; Kundu, Ripan Kumar

doi:10.1109/uemcon.2016.7777887

Cited by 21 publications

(12 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First step of sensing to complete spectrum sharing to improve spectrum utilization and can be realize for various application. SUs continuously detect frequency band used by Pus in multidimensional spacespatial domain [12]. Basically it detects the unused spectrum as a hole is available.…”

Section: Cognitive Radio Network Toward 5gmentioning

confidence: 99%

Effectiveness of Spectrum Sensing in Cognitive Radio toward 5G Technology

Pradhan¹,

Priyanka²

2019

SJET

View full text Add to dashboard Cite

Cognitive radio is an intelligent network which addresses the availability of radio spectrum in order to enable dynamic spectrum access. This paper is based on engineering model for electromagnetic spectrum, which deals with current scarcity-based regulatory model. It is an intelligent platform through which static frequency allocations can done to dynamic, intelligent, and instantaneous frequency negotiations and assignment. Various detection models were discussed to make the radio spectrum abundance model possible, and a brief discussion on the architecture of mobile network. It was identified as a promising solution to the limit less need of spectrum and the main idea behind is for dynamic access of unused spectrum for communication. Its play a vital role for dynamic utilization of idle spectrum without affecting the rights of primary users, so that the services can be available for different or for other services. In this unused spectrum can be share in order to achieve a prominent goal for avoiding the cost of usage of spectrum. It also helps in improving the utilization of spectrum resources. In order to meet the critical requirements of the fifth generation (5G) mobile network, especially the Wider-Coverage, Massive-Capacity, Massive-Connectivity, and Low-Latency four application scenarios, the spectrum range used in 5G will be further expanded into the full spectrum era, possibly from 3 GHz to 300 GHz.

show abstract

Section: Cognitive Radio Network Toward 5gmentioning

confidence: 99%

Effectiveness of Spectrum Sensing in Cognitive Radio toward 5G Technology

Pradhan¹,

Priyanka²

2019

SJET

View full text Add to dashboard Cite

show abstract

“…In [22,23], the authors have presented a detailed survey for the key enabling techniques, such as detection, localization, tracking, and controlling. A number of various detection techniques such as energy detection, matched filtering, and cyclostationary have been utilized to detect the existence of the PU in the network [24,25]. Among these techniques, the energy detection is one of the most engaging techniques, thanks to its ease of implementation and no requirement on prior information of the PU.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Contention-Window Based Reporting for Internet of Things Features in Cognitive Radio Networks

Khan

Kim

Lee

et al. 2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Internet of things (IoT) is a new challenging paradigm for connecting heterogeneous networks. However, an explosive increase in the number of IoT cognitive users requires a mass of sensing reporting; thus, it increases complexity of the system. Moreover, bandwidth utilization, reporting time, and communication overhead arise. To realize spectrum sensing, how to collect sensing results by reducing the communication overhead and the reporting time is a problem of major concern in future wireless networks. On the other hand, cognitive radio is a promising technology to access the spectrum opportunistically. In this paper, we propose a contention-window based reporting approach with a sequential fusion mechanism. The proposed reporting scheme reduces the reporting time and the communication overhead by collecting sensing results from the secondary users with the highest reliability at a fusion center by utilizing Dempster-Shafer evidence theory. The fusion center broadcasts the sensing results once a global decision requirement is satisfied. Through simulations, we evaluate the proposed scheme in terms of percentage of the number of reporting secondary users, error probability, percentage of reporting, and spectral efficiency. As a result, it is shown that the proposed scheme is more effective than a conventional order-less sequential reporting scheme.

show abstract

“…Classical SS methods mainly contain energy detector (ED) [11], cyclostationary feature detector (CFD) [12], covariance matrix-based detector (CMD) [13] and cooperative spectrum sensing (CSS) [14]. Thanks to its low complexity and superior performance, ED is the most popular and classical scheme for SS [15].…”

Section: Introductionmentioning

confidence: 99%

A Novel Sensing Strategy Based on Energy Detector for Spectrum Sensing

Huang

Zhu

2019

Applied Sciences

View full text Add to dashboard Cite

Sensing strategy directly influences the sensing accuracy of a spectrum sensing scheme. As a result, the optimization of a sensing strategy appears to be of great significance for accuracy improvement in spectrum sensing. Motivated by this, a novel sensing strategy is proposed in this paper, where an improved tradeoff among detection probability, false-alarm probability and available throughput is obtained based on the energy detector. We provide the optimal sensing performance and exhibit its superiority in theory compared with the classical scheme. Finally, simulations validate the conclusions drawn in this paper.

show abstract

Comparative evaluation of cyclostationary detection based cognitive spectrum sensing

Cited by 21 publications

References 18 publications

Effectiveness of Spectrum Sensing in Cognitive Radio toward 5G Technology

Effectiveness of Spectrum Sensing in Cognitive Radio toward 5G Technology

An Efficient Contention-Window Based Reporting for Internet of Things Features in Cognitive Radio Networks

A Novel Sensing Strategy Based on Energy Detector for Spectrum Sensing

Contact Info

Product

Resources

About