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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

École d’été RESCOM 2014 On Estimating the End-to-End Bandwidth in Multi-Transceiver Multi-Hop Cognitive Radio Networks

Guillaume Artero Gallardo Gentian Jakllari Lucile Canourgues André-Luc Beylot

May 13, 2014

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

A brief overview of Cognitive Radio networks (1/2)

Emergence of Cognitive Radio networks

1 Software Defined Radio technologies 2 Increasing demand for wireless capacity

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

A brief overview of Cognitive Radio networks (2/2)

Cognitive Radio principle

• Fixed Spectrum Allocation ⇒ Dynamic Spectrum Access
• Opportunistic Spectrum Access based on Spectrum Sensing result

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

Problem & Contribution (1/2)

CR1 CR7 CR8 CR10 CR11 CR2 CR3 CR4 CR5 CR12 CR6 CR9 PU2 PU1 PU3 PU4

⇒ Available end-to-end bandwidth estimation in TDMA-based multi-transceiver multi-hop cognitive radio networks

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

Problem & Contribution (2/2)

Cognitive Radio network characteristics

• Intra-path interferences
• TDMA access with Randomized slot scheduling

(𝑇1

(1) , 𝑔 1 , 𝜚1 )

(𝑇2

(1) , 𝑔 2 , 𝜚2 )

(𝑇3

(1) , 𝑔 3 , 𝜚3 )

(𝑇4

(1) , 𝑔 4 , 𝜚4 )

(𝑇5

(1) , 𝑔 5 , 𝜚5 )

demand 𝑒 forward 𝑒1 forward 𝑒2 forward 𝑒3 forward 𝑒4 forward 𝑒5 throughput 𝑒5

Main Contribution ⇒ Centralized Exponential Time to Distributed Linear Time algorithm

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

Results & Performance Evaluation

Achievable End-to-End Throughput

50 100 150 200 250 300 350 400 450 500 50 100 150 200 250 300 350 400 450 500

Computed end-to-end throughput (kbps) Exact end-to-end throughput (kbps)

pa = 33%, NH = 4 pa = 50%, NH = 4

FIGURE 1: Numerical verification for u = 10% of the correctness of the algorithm for computing the average throughput.

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

Results & Performance Evaluation

Admission Control Performance

100 200 300 400 500 600 100 200 300 400 500 600

Available end-to-end bandwidth (kbps) Admitted rate in practice (kbps)

NH = 10, u = 10% NH = , u = 10% 4

FIGURE 2: Admission control performance for the case of u = 10% after only 10 numerical experiments.

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

Results & Performance Evaluation

Cognitive Radio Effect 100 200 300 400 500 600 700 800 900 1000 100 200 300 400 500 600 700 800 900 1000

H

Admitted rate in practice (kbps) Available end-to-end bandwidth (kbps)

Zhu, NH = 4 BRAND, N = 4 FIGURE 3: Evaluation of both PU activity and multi-rates effects for the cases of u = 20%.

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Cognitive Radio Context Problem & Contribution Results & Performance Evaluation

Questions ?

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