Performance evaluation and system optimization of Green cognitive radio networks with a multiple-sleep mode

Liao, Jianping; Jin, Shunfu; Yue, Wuyi

doi:10.1007/s10479-018-3086-6

Cited by 15 publications

(6 citation statements)

References 20 publications

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“…and thus the limit in ( 18) is positive. It then immediately follows from ( 14), ( 16), (18), and from the balance equation ( 8), by dividing both sides by t and letting t → ∞, that the inequality (7) holds. This implies that ( 7) is indeed the necessary stability condition.…”

Section: P(t (Umentioning

confidence: 99%

“…Other queueing models of cognitive radio networks could be found in [11][12][13][14][15][16][17]. In [11][12][13]18], the service time distributions of primary and secondary customers are either restricted to Markovian distributions (exponential or phase-type distributions) and/or the assumption that the number of active secondary users are finite. In [14,15,17,[19][20][21][22][23], models with single channel are investigated.…”

Section: Introductionmentioning

confidence: 99%

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Modified Erlang loss system for cognitive wireless networks

Morozov¹,

Rogozin²,

Nguyen³

et al. 2021

Preprint

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This paper considers a modified Erlang loss system for cognitive wireless networks and related applications. A primary user has preemptive priority over secondary users and the primary customer is lost if upon arrival all the channels are used by other primary users. Secondary users cognitively use idle channels and they can wait at an infinite buffer in cases idle channels are not available upon arrival or they are interrupted by primary users. We obtain explicit stability condition for the cases where arrival processes of primary users and secondary users follow Poisson processes and their service times follow two distinct arbitrary distributions. The stability condition is insensitive to the service time distributions and implies the maximal throughout of secondary users. For a special case of exponential service time distributions, we analyze in depth to show the effect of parameters on the delay performance and the mean number of interruptions of secondary users. Our simulations for distributions rather than exponential reveal that the mean number of terminations for secondary users is less sensitive to the service time distribution of primary users.

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Section: P(t (Umentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modified Erlang loss system for cognitive wireless networks

Morozov¹,

Rogozin²,

Nguyen³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In the system, the channel is abstracted as the service desk, PU packets are abstracted as the first type of customers, and SU packets are abstracted as the second type of customers [ 26 ]. Compared with SU packets, PU packets have higher channel usage rights.…”

Section: System Modelmentioning

confidence: 99%

A communication failure and repair mechanism with adjustable transmission rates for PU packets in CRNs

Zhao¹,

Lu²,

Ye³

et al. 2023

Heliyon

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“…In the article 8 , authors studied the energy efficiency aspects of Green CRNs. Liu et al 24 highlighted on performance evaluation and system optimization of Green CRNs that incorporate multiple-sleep modes. The paper 25 introduced an energy-saving approach that utilizes the N-policy sleep mode.…”

Section: Literature Reviewmentioning

confidence: 99%

A Stochastic Framework for Energy Saving in Cognitive Radio Networks using N-Policy Multiple Sleep Mode

Srivastava,

Sharma

2023

Preprint

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Cognitive Radio Networks (CRNs) represent a cutting-edge solution to the growing problem of limited available spectrum. With the increasing demand for wireless communication services, the efficient utilization of spectrum resources becomes paramount. Green CRNs offer a dynamic and opportunistic approach by intelligently sensing and accessing idle licensed spectrum, known as white spaces focusing on environmentally conscious communication methods. These unoccupied frequency bands, left unused by primary users (PUs), present an opportunity for CRNs to enhance spectrum utilization and alleviate the spectrum scarcity challenge. In the presented study, we concentrate on energy conservation in “Green” CRNs, with a specific focus on base stations (BSs). We suggest an energy-efficient approach that utilizes multiple sleep modes employing an N-policy, with the objective of addressing the growing need for environmentally friendly communication practices. To model the energy-saving process and assess system performance, we employ a semi-Markov process (SMP). Moreover, the paper provides a detailed analysis of performance metrics, encompassing average latency for Secondary Users (SUs), throughput of the system, energy saving factor, and energy consumption.

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Performance evaluation and system optimization of Green cognitive radio networks with a multiple-sleep mode

Cited by 15 publications

References 20 publications

Modified Erlang loss system for cognitive wireless networks

Modified Erlang loss system for cognitive wireless networks

A communication failure and repair mechanism with adjustable transmission rates for PU packets in CRNs

A Stochastic Framework for Energy Saving in Cognitive Radio Networks using N-Policy Multiple Sleep Mode

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