Trilateral Tradeoff of Sensing, Transmission, and Contention Times in a Multiuser Split-Phase CR Networks

Amini, Mohammad Reza; Hemati, Farzad; Mirzavandi, Asra

doi:10.1109/jsen.2015.2453363

Cited by 9 publications

(2 citation statements)

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“…where I 0 (T tr ) is the expected duration of interference due to T tr seconds of IoT node's transmission, while the channel is correctly sensed as idle, 10 as given by [60], [71]…”

Section: Lemmamentioning

confidence: 99%

“…In the former case-which happens with probability of (1 − P F 0 )π 1 P m in steady-state-the whole frame is considered as interference time T tr . For the latter case-which happens with probability of (1 − P F 0 )π 0 (1 − P f ) in steady-state-the expected amount of interference time is denoted as I 0 (T tr ), which is given by [60], [71]…”

Section: Appendix D Proof Of Lemmamentioning

confidence: 99%

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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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“…where I 0 (T tr ) is the expected duration of interference due to T tr seconds of IoT node's transmission, while the channel is correctly sensed as idle, 10 as given by [60], [71]…”

Section: Lemmamentioning

confidence: 99%

Section: Appendix D Proof Of Lemmamentioning

confidence: 99%