Estimating the medium access probability in large cognitive radio networks

Rattaro, Claudina; Larroca, Federico; Bermolen, Paola; Belzarena, Pablo

doi:10.1016/j.adhoc.2017.05.003

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…The noise p.s.d values along with the attenuation can help to characterize the channel performance (Rattaro et al 2017). Using the above studied attenuation models, we predict the network performance.…”

Section: Ambient Noise Modelmentioning

confidence: 99%

Channel Modelling of Underwater Communication Network with AUVS

2019

IJITEE

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Underwater communication network always consists of static, slow, and fast-movingnodeslimitedto a few tens of nodes. In generally, network is governed by acoustic system as a communication model. This makes the system as BW limited, spectrum inefficiency etc. In addition, the sensors are autonomously put in the sea bottom is battery supported and so the energy optimization is also needed to be addressed in this paper. The paper explains on detailed comparison on performance of different channel modelling of. Ainslie and McColm Model, Ambient Noise Model, Thorp Model &. Fisher & Simmons Model. The analysis shows that Ainslie -McColm and Fisher & Simmons gives better energy optimization.

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Section: Ambient Noise Modelmentioning

confidence: 99%

Channel Modelling of Underwater Communication Network with AUVS

2019

IJITEE

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“…Applications of fluid models to telecommunications appeared in the literature and were widely developed in the last decade. Some recent examples include for instance: peer-to-peer systems and mobile networks (see for example [3,5,14,29,31,32,37] and references therein). In particular concerning applications to CR networks there are some related works that we would like to highlight.…”

Section: Introductionmentioning

confidence: 99%

QoS Provision in a Dynamic Channel Allocation Based<?brk?> on Admission Control Decisions

Rattaro

Aspirot

Mordecki

et al. 2020

ACM Trans. Model. Perform. Eval. Comput. Syst.

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Cognitive Radio Networks have emerged in the last decades as a solution of two problems: spectrum underutilization and spectrum scarcity. In this work, we propose a dynamic spectrum sharing mechanism, where primary users have strict priority over secondary ones in order to improve the mean spectrum utilization with the objective of providing to secondary users a satisfactory grade of service with a small interruption probability. We study a stochastic model for Cognitive Radio Networks with fluid limits techniques. Our main findings consist in a Gaussian limit theorem in the sub-critical case, and a non-Gaussian limit theorem, under a different scaling scheme, in the critical case. These results provide us practical QoS criteria for sharing policies. We support our analysis with representative simulated examples in both scenarios.

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