Clustering scheme for cooperative spectrum sensing in cognitive radio networks

Jiao, Yan; Yin, Peitong; Joe, Inwhee

doi:10.1049/iet-com.2015.0865

Cited by 42 publications

(19 citation statements)

References 13 publications

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“…This is usually referred to as the cooperative spectrum sensing method, which combines the spectrum information from local sensing of multiple CRs in order to minimize the sensing error. There are several works in the literature that show how cooperation can improve the performance of the overall spectrum sensing and maximize the probability of detecting the PU [ 46 , 47 ]. Cooperative sensing has also been proven to overcome and mitigate the problem of shadowing, fading and the receiver uncertainty problem.…”

Section: Cognitive Radio Networkmentioning

confidence: 99%

Medium Access Control Protocols for Cognitive Radio Ad Hoc Networks: A Survey

Zareei

Islam

Baharun

et al. 2017

Sensors

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New wireless network paradigms will demand higher spectrum use and availability to cope with emerging data-hungry devices. Traditional static spectrum allocation policies cause spectrum scarcity, and new paradigms such as Cognitive Radio (CR) and new protocols and techniques need to be developed in order to have efficient spectrum usage. Medium Access Control (MAC) protocols are accountable for recognizing free spectrum, scheduling available resources and coordinating the coexistence of heterogeneous systems and users. This paper provides an ample review of the state-of-the-art MAC protocols, which mainly focuses on Cognitive Radio Ad Hoc Networks (CRAHN). First, a description of the cognitive radio fundamental functions is presented. Next, MAC protocols are divided into three groups, which are based on their channel access mechanism, namely time-slotted protocol, random access protocol and hybrid protocol. In each group, a detailed and comprehensive explanation of the latest MAC protocols is presented, as well as the pros and cons of each protocol. A discussion on future challenges for CRAHN MAC protocols is included with a comparison of the protocols from a functional perspective.

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Section: Cognitive Radio Networkmentioning

confidence: 99%

Medium Access Control Protocols for Cognitive Radio Ad Hoc Networks: A Survey

Zareei

Islam

Baharun

et al. 2017

Sensors

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“…spectrum [4], [5]. Despite good performance in detection made under OSA, however, tremendous energy consumption (EC) is rising as another problem to be researched [6], [7]. However, there are several studies have been made on energy efficiency (EE) in cognitive radio networks (CRNs); In [8], authors have proposed an energy-based sensor selection scheme in cooperative spectrum sensing (CSS) to enhance the lifespan and energy efficiency of sensors by avoiding unequal battery drainage among them.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

et al. 2020

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Rapid growth in demand for spectrum resources and technology expansion in wireless communication systems such as satellite communication networks and upcoming 5G networks has led us to investigate the best cognitive radio network scheme towards achievements of energy efficiency in wireless communication networks for cooperative spectrum sensing. In this paper, we introduce a doubledeck cluster cooperative relay assistance model in hybrid spectrum sharing for cognitive radio networks. This proposed model enables the attainment of energy efficiency by optimizing cooperative secondary users in their respective cluster groups. According to the design of this model, we apply the power allocation scheme under mathematical analysis based on its power constraints. Normalized energy consumptions and amplifying gains are achieved and assessed for both network scenarios when cognitive relays are used and not used in the network. Simulation results show that there is a good performance on the energy efficiency of our proposed scheme compared to a traditional scheme.

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“…When the number of SUs becomes very large then the overloading problem occurs on the control channel, to mitigate this cluster based CSS is proposed [12]. In cluster-based CSS technique, cognitive radio users (CRs) are divided into two categories, as shown in Figure 1: Cluster head (CH) and non-CH member.…”

Section: Introductionmentioning

confidence: 99%

Two Stage Fusion in Cognitive Radio Networks: A Clustering Approach

Mustafa¹,

Jaglan²,

Agrawal³

2020

MMEP

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The cognitive radio (CR) has been recently proposed as an auspicious technology to effectively utilize the radio band to allow unlicensed users by allocating the spectrum dynamically on a non-interfering basis. The main challenge of the CR system is control channel overhead when the number of secondary users (SUs) becomes very large in cooperative spectrum sensing (CSS) scenario. To mitigate this problem, Cluster based CSS approach is useful to avoid the crowding on the control channel. Therefore, in this paper, neural network approach based on supervised learning algorithm is applied at the fusion center (FC) for proposed clustering technique. The simulation results prove that proposed clustering approach enhance the accuracy of the system. Also, it is more robust than other conventional schemes.

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Clustering scheme for cooperative spectrum sensing in cognitive radio networks

Cited by 42 publications

References 13 publications

Medium Access Control Protocols for Cognitive Radio Ad Hoc Networks: A Survey

Medium Access Control Protocols for Cognitive Radio Ad Hoc Networks: A Survey

Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

Two Stage Fusion in Cognitive Radio Networks: A Clustering Approach

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