On the Stochastic Modeling of the Holding Time of SUs to PU Channels in Cognitive Radio Networks

Aborahama, Yousuf; Hassan, Mohamed S.

doi:10.1109/tccn.2019.2940570

Cited by 13 publications

(8 citation statements)

References 31 publications

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“…Once the PTx is active, the secondary user needs to vacate the operating spectrum for the primary transmission. The activity model of the primary users can be used to assist for such operation [49]. Such model can be used to describe the coexistence between LTE and WiFi spectrum sharing system [50].…”

Section: Comparison Of Sr With Crmentioning

confidence: 99%

Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks

Liang

Zhang

Larsson

et al. 2020

IEEE Trans. Cogn. Commun. Netw.

180

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The heterogenous wireless services and exponentially growing traffic call for novel spectrum-and energy-efficient wireless communication technologies. Recently, a new technique, called symbiotic radio (SR), is proposed to exploit the benefits and address the drawbacks of cognitive radio (CR) and ambient backscattering communications (AmBC), leading to mutualism spectrum sharing and highly reliable backscattering communications. In particular, the secondary transmitter (STx) in SR transmits messages to the secondary receiver (SRx) over the RF signals originating from the primary transmitter (PTx) based on cognitive backscattering communications, thus the secondary system shares not only the radio spectrum, but also the power, and infrastructure with the primary system. In return, the secondary transmission provides beneficial multipath diversity to the primary system, therefore the two systems form mutualism spectrum sharing. More importantly, joint decoding is exploited at SRx to achieve highly reliable backscattering communications. In this article, to exploit the full potential of SR, we provide a systematic view for SR and address three fundamental tasks in SR: (1) enhancing the backscattering link via active load; (2) achieving highly reliable communications through joint decoding; and (3) capturing PTx's RF signals using reconfigurable intelligent surfaces. Emerging applications, design challenges and open research problems will also be discussed.

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Section: Comparison Of Sr With Crmentioning

confidence: 99%

Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks

Liang

Zhang

Larsson

et al. 2020

IEEE Trans. Cogn. Commun. Netw.

180

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“…Channel assignment design is a challenging problem in Cognitive Radio Networks. Various Channel assignment methods have been previously proposed for CRNs [1][2][3][4][5][6]. Most of them were designed for wireless networks without backhaul networks.…”

Section: Motivation and Research Contributionmentioning

confidence: 99%

“…In [4], authors have investigated the problem concerned with the amount of time with which a secondary user can hold a primary channel or more in cognitive radio networks as well as the average amount of data that can be transmitted during this time. They have derived closed-form probabilistic expressions for the distribution of time, which includes identical and nonidentical primary channels, in terms of the activity levels of primary users and for a different number of secondary users.…”

Section: Related Workmentioning

confidence: 99%

Selective Channel Assignment Method in Cognitive Radio System

Gowda¹,

Vijayakumar²

2021

Preprint

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An Efficient Channel assignment method for cognitive radio system has been proposed in this paper, by considering primary and secondary calls separately in the network for the cases of with and without usage of converters. The proposed channel assignment method known as selective channel assignment method its performance is compared with the existing first fit assignment and uniformly distributed random assignment methods. Each of the models has variant for with conversion and without conversion of wavelength. The simulations are run for a network having 10, 20 channels, 12, 15 and 25 links and 8 Erlangs of load. By carrying out the simulations of the proposed and existing channel assignment methods, the blocking probabilities, throughput and channel usage frequencies are computed for each of the assignment methods. When the selective channel assignment method was used, the blocking probabilities are around 41% and 39% for 50% PU calls case and 64% and 26% for 75% PU calls case when there were no converters in the network. When converters are used, the blocking probabilities are around 30% and 36% for 50% PU calls case and 38% and 18% for 75% PU calls case. Our simulations validated the effectiveness of the proposed channel assignment scheme in terms of blocking probability, throughput and channel usage as performance parameters.

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“…IDLE and BUSY, which correspond to the two cases where the PD is or isn't utilizing the channel, respectively. We assume that the state transition of the channel follows a two-state continuous-time Markov Chain (CTMC), which is a reasonable and widely-adopted assumption [7], [8]. Let 𝑢 and 𝑣 be the transition rates from IDLE to BUSY and from BUSY to IDLE, which jointly represent the traffic pattern of the PD.…”

Section: System Modelmentioning

confidence: 99%

Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System

Hao

Yang

et al. 2021

Preprint

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We consider a cognitive radio based Internet of Things (CR-IoT) system where the secondary IoT device (SD) accesses the licensed channel during the transmission vacancies of the primary IoT device (PD). We focus on the impact of the IoT devices' heterogeneous traffic pattern on the energy efficiency and on the age of information (AoI) performance of the SD. We first derive closed-form expressions of the energy efficiency and the average AoI, and subsequently explore their convexity and monotonicity to the transmit power. Following these characterizations, an optimal transmit power optimization algorithm (TPOA) is proposed for the SD to maximize the energy efficiency while maintaining the average AoI under a predefined threshold. Numerical results verify the different preferences of the SD toward different PD traffic patterns, and provides insights into the tradeoff between the energy efficiency and the average AoI.

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On the Stochastic Modeling of the Holding Time of SUs to PU Channels in Cognitive Radio Networks

Cited by 13 publications

References 31 publications

Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks

Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks

Selective Channel Assignment Method in Cognitive Radio System

Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System

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