Coexisting with the dynamic <scp>PU</scp>, the effect of <scp>PU</scp>‐returns on a secondary network

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

doi:10.1002/dac.3316

Cited by 8 publications

(2 citation statements)

References 36 publications

(46 reference statements)

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“…The availability-reliability-stability trade-offs are also investigated through numerical results. In deriving reliability, both channel error and interference due to sensing error (missdetection and PU-return) are taken into account [54], [55]. The main contributions of this work are summarized as follows:…”

Section: Contributionsmentioning

confidence: 99%

Availability-Reliability-Stability Trade-Offs in Ultra-Reliable Energy-Harvesting Cognitive Radio IoT Networks

Amini

Baidas

2020

IEEE Access

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With the rise of the Internet-of-Things (IoT), new requirements have been brought into communication networks to make them more efficient, sustainable, and self-sufficient. Requirements, such as availability and ultra-reliability combined with the solutions of energy-harvesting and dynamic spectrum access, make the analyses of such networks more complex, while imposing different performance trade-offs. This paper analyzes the performance of ultra-reliable energy-harvesting cognitive radio Internet-of-Things (UR-EH-CR-IoT) networks, and provides analytical derivations for different IoT network metrics, such as GoodPut, reliability, collision probability, availability, and stability, so as to investigate their trade-offs. A new metric for network availability is defined based on energy availability and spectrum accessibility for UR-EH-CR-IoT networks, while incorporating transmission diversity. The effect of IoT network parameters, such as sensing time, diversity transmission, and number of packets in a data frame, is examined on the IoT network performance metrics. Lastly, the derived expressions are utilized to optimize the GoodPut, subject to various practical constraints. INDEX TERMS Availability, cognitive radio, collision probability, diversity transmission, energyharvesting, Internet-of-Things, stability, ultra-reliability. 1 This can be seen by noting that diversity transmission is only based on transmitting a fixed number of packet replicas. To the best of our knowledge, there are no existing results on the implementation complexity of diversity transmission.

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Section: Contributionsmentioning

confidence: 99%

Availability-Reliability-Stability Trade-Offs in Ultra-Reliable Energy-Harvesting Cognitive Radio IoT Networks

Amini

Baidas

2020

IEEE Access

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“…In addition, based on the estimated parameters a dynamic spectrum access mechanism (DAEE) is proposed for the CUs to use in order to achieve the energy efficiency. Particularly, the interference caused by sensing errors and PU re‐occupies is taken into account for analysis [20, 21]. Further, as the activities of PUs follow the ON/OFF renewable process the authors in [22] propose a method to obtain the maximum available portions of channels through optimising the sensing order and sensing period.…”

Section: Introductionmentioning

confidence: 99%