Fusion Rule Based on Dynamic Grouping for Cooperative Spectrum Sensing in Cognitive Radio

Yang, Tingting; Wu, Yucheng; Li, Liang; Xu, Weiyang; Tan, Weiqiang

doi:10.1109/access.2019.2910809

Cited by 15 publications

(9 citation statements)

References 33 publications

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“…Our HD model proves better in all the previous work performed in this field. Our HD model proved that by using CSS environments with only 4 CR users-not 15 CR users as in [36]-we optimised the P D to 0.98 and 1 and reduced the P FA to 0, which are the best suitable and targeted sensing parameters for TV white space utilisation under the IEEE 802.22 WRAN standard.…”

Section: Discussionmentioning

confidence: 76%

“…The proposed HD model that performs the best in terms of PD is 0.98 (case 1) or 1 (case 2) and PFA is 0 under the CSS environment compared to other previous work shown in [17][18][19]. The proposed HD model along with four CSS users' results are shown to be better when compared to the results shown in [36] along with 15 CSS users. From the above summary shown in Table 3, OR performs better compared to AND, and Majority rule.…”

Section: Performance Analysis Of Hd For Cssmentioning

confidence: 67%

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Hybrid Spectrum Sensing Using MD and ED for Cognitive Radio Networks

Bani

Kulkarni

2022

JSAN

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Day by day, the demand for wireless systems is increasing while the available spectrum resources are not sufficient. To fulfil the demand for wireless systems, the spectrum hole (spectrum vacant) should be found and utilised very effectively. Cognitive radio (CR) is a device which intelligently senses the spectrum through various spectrum-sensing detectors. Based on the complexity and licensed user’s information present with CR, the appropriate detector should be utilised for spectrum sensing. In this paper, a hybrid detector (HD) is proposed to determine the spectrum hole from the available spectrum resources. HD is designed based on an energy detector (ED) and matched detector (MD). Unlike a single detector such as ED or MD, HD can sense the signal more precisely. Here, HD can work on both conditions whether the primary user (PU) information is available or not. HD is analysed under heterogeneous environments with and without cooperative spectrum sensing (CSS). For CSS, four users were used to implement OR, AND, and majority schemes under low SNR walls. To design the HD, specifications were chosen based on the IEEE Wireless Regional Area Network (WRAN) 802.22 standard for accessing TV spectrum holes. For the HD model, we achieved the best results through OR rule. Under the low SNR circumstances at −20 dB SNR, the probability of detection (PD) is maximised to 1 and the probability of a false alarm (PFA) is reduced to 0 through the CSS environment.

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Section: Discussionmentioning

confidence: 76%

Section: Performance Analysis Of Hd For Cssmentioning

confidence: 67%

Hybrid Spectrum Sensing Using MD and ED for Cognitive Radio Networks

Bani

Kulkarni

2022

JSAN

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“…It is worth noting that the abovementioned spectrum sensing schemes are conducted in a single node, which has the limitation that it is difcult to detect the signals of LUs for desired performance in low signal-to-noise ratio (SNR) conditions [11]. In contrast, a cooperative spectrum sensing has been proposed as a promising solution, which can effectively address issues that arise in spectrum sensing due to noise uncertainty, fading, shadowing, and hidden terminals [12].…”

Section: Related Workmentioning

confidence: 99%

A Covariance Matrix-Based Cooperative Spectrum Sensing Algorithm in Electric Wireless Private Network

Zhao

Gan

et al. 2022

Mobile Information Systems

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Cognitive radios can significantly improve the spectral efficiency of wireless communications. Spectrum sensing is a key function of cognitive radios to prevent the harmful interference with licensed users. This paper considers the cooperative spectrum sensing in 230 MHz electric wireless private networks. First, the statistical distribution of the sample covariance matrix of the received signals is investigated. Then, taking the ratio of the sum of absolute values of the off-diagonal elements of the sample covariance matrix to that of the diagonal elements as the decision metric, an improved covariance absolute value (ICAV) cooperative sensing algorithm is proposed. After that, a performance analysis concerning the probabilities of false alarm and detection is carried out. Theoretical analysis and simulation results show that the ICAV algorithm possesses an accurate decision threshold and is robust to the noise uncertainty.

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“…The basic idea is to adaptively assign the heterogeneous SUs to different clusters or groups such that the throughput efficiency is maximized and sensing accuracy is maintained as well. Yang et al proposed a fusion rule‐based dynamic grouping for mobile SUs where the groups were divided using some weighing rule.…”

Section: Channel Assignment In Literaturementioning

confidence: 99%

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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Summary With the advent of various emerging wireless products, the usage of limited spectrum has grown exponentially in the recent years. In the next few years, that mobile data traffic globally is expected to grow up to 50 EB/month, which is nearly a five times increase over year 2018. Therefore, it will become extremely difficult to satisfy the ever increasing demand through the current fixed spectrum assignment policy in which spectrum band is exclusively used for the particular applications, and it has also led to underutilization of a significant portion of the spectrum (like TV bands). Cognitive radio networks has emerged as a possible solution for the problem which makes dynamic spectrum access possible for unlicensed user when licensed user is not active. Among various operations of cognitive radio, channel assignment to the unlicensed user is very important. Further, wireless regional area network is one of the most important application of cognitive radio, which provides wireless broadband to the rural area using vacant TV channels. This paper discusses channel assignment techniques considering various functionalities for cognitive radio networks in respect of wireless regional area network in the existing literature. Initially, a comprehensive introduction to both cognitive radio networks and wireless regional area networks is provided, and in the end, the paper summarizes the various issues and research challenges in the channel assignment for wireless regional area networks.

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Fusion Rule Based on Dynamic Grouping for Cooperative Spectrum Sensing in Cognitive Radio

Cited by 15 publications

References 33 publications

Hybrid Spectrum Sensing Using MD and ED for Cognitive Radio Networks

Hybrid Spectrum Sensing Using MD and ED for Cognitive Radio Networks

A Covariance Matrix-Based Cooperative Spectrum Sensing Algorithm in Electric Wireless Private Network

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

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