Discrete-Time Markov Chain Analysis of Energy Efficiency in a CR Network Regarding Primary and Secondary Traffic With Primary User Returns

Amini, Mohammad Reza; Mahdavi, Mehdi; Omidi, Mohammad Javad

doi:10.1109/access.2018.2825291

Cited by 11 publications

(10 citation statements)

References 83 publications

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“…Additionally, as shown in Fig. 1 and in literature [14]- [16], the more SUs compete for free/idle bands, the more power they would all consume to send their data. Consequently, the research question becomeshow to select/short-list secondary users to participate in the cognitive radio process so that their overall benefits can be maximized and corresponding costs in relation to power and security remain low.…”

Section: B Problem Statementmentioning

confidence: 98%

“…For battery-constrained devices such as laptops and smart phones [11], [12], [16], the costs associated with the additional power consumption and security risks of the cognitive radio technique can be overwhelming. For instance, for a CRenabled user (i.e.…”

Section: B Problem Statementmentioning

confidence: 99%

“…1 if user j is using AP i 0 otherwise (16) Once the MBS quantifies the benefits of all users, it can short list the users that can benefit the most from the CR procedures. This can be formulated mathematically as an optimization problem with the aggregated benefit expressed as follows:…”

Section: F Problem Formulationmentioning

confidence: 99%

“…Subsequently, as shown in Fig. 1 [13], more contending SUs lead to higher average power consumption [14]- [16]. SDR technology heavily relies on field-programmable gate arrays (FPGAs) which consume more power than application specific integrated circuit (ASIC) chips that are used in traditional communication devices [17].…”

Section: Introductionmentioning

confidence: 99%

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A Secure and Energy-Aware Approach For Cognitive Radio Communications

Khaled

Ahmad

Habibi

et al. 2020

IEEE Open J. Commun. Soc.

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The cognitive radio (CR) technique has revealed a novel way of utilizing the precious radio spectrum via allowing unlicensed users to opportunistically access unutilized licensed bands. Using such a technique enables agile and flexible access to the radio spectrum and can resolve the spectrum-scarcity problem and maximize spectrum efficiency. However, two major impediments have been limiting the widespread adoption of cognitive radio technology. The software-defined radio technology, which is the enabling technology for the CR technique, is power-hungry and this raises a major concern for battery-constrained devices such as smart phones and laptops. Secondly, the opportunistic and open nature of the CR can lead to major security concerns about the data being sent and how safe it is. In this paper, we introduce an energy-and-security-aware CR-based communication approach that alleviates the power consumption of the CR technique and enhances its security measures according to the confidentiality level of the data being sent. Furthermore, the proposed approach takes into account user-related factors, such as the users battery level and users data type, and network-related factors, such as the number of unutilized bands and vulnerability level and then models the research question as a constrained optimization problem. Considering the time complexity of the optimum solution, we also propose a heuristic solution. We examine the proposed solution against existing solutions, and our obtained results show that the proposed approach can save energy consumption up to 18%, increase user throughput up to 20%, and achieve better spectrum utilization, up to 98%. Our proposed admission approach has the potential to open a new research direction towards safer and greener cognitive radio techniques. Index Terms-Cognitive radio, next generation wireless networks, green communications, cognitive radio security issues, software defined radio.

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Section: B Problem Statementmentioning

confidence: 98%

Section: B Problem Statementmentioning

confidence: 99%

Section: F Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Secure and Energy-Aware Approach For Cognitive Radio Communications

Khaled

Ahmad

Habibi

et al. 2020

IEEE Open J. Commun. Soc.

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“…2 shows that as soon as the number of received samples N becomes greater than 20, the probability of having at most one transition becomes close to one and stable when M = M i = M b is greater than N . Interested readers can refer to [15]- [17] for more details. For the asynchronous primary user traffic model, we change the definitions of H 0 and H 1 slightly as presented in table 1.…”

Section: B Asynchronous Scn-based Spectrum Sensingmentioning

confidence: 99%

Standard Condition Number Based Spectrum Sensing Under Asynchronous Primary User Activity

Nafkha

2020

IEEE Access

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Cognitive radio (CR) is a promising technology which enables the secondary user (SU) to sense and detect the presence or absence of the primary user (PU) in the frequency band of interest. Therefore, high detection probability is needed to ensure that primary user is adequately protected, while low false-alarm probability provides the opportunity of using free channel and a better throughput performance of secondary user. Most of the studies on spectrum sensing techniques were conducted assuming a perfect synchronization between the secondary and the primary users. However, in practice, the synchronous assumption is very hard to satisfy in the context of real cognitive radio networks environment. In this paper, we present a theoretical formulation of the standard condition number (SCN) based spectrum sensing technique under an asynchronous cognitive radio networks. We assume the case where the primary users generate asynchronous slotted traffic. The standard condition number distributions under null and alternative hypotheses are derived where the secondary user is equipped with two receive antennas. Under asynchronous primary user traffic, we establish the existence of a lower limit of the false-alarm probability below which we are unable to derive a decision threshold for the SCN-based detector.

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Energy harvesting with adaptive transmit power for cognitive radio networks

Halima

Boujemâa

2019

Telecommun Syst

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Discrete-Time Markov Chain Analysis of Energy Efficiency in a CR Network Regarding Primary and Secondary Traffic With Primary User Returns

Cited by 11 publications

References 83 publications

A Secure and Energy-Aware Approach For Cognitive Radio Communications

A Secure and Energy-Aware Approach For Cognitive Radio Communications

Standard Condition Number Based Spectrum Sensing Under Asynchronous Primary User Activity

Energy harvesting with adaptive transmit power for cognitive radio networks

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