[PPT] - Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad PowerPoint Presentation

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 1 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks

The 4th Workshop of COST Action IC0902

Oleksandr (Alex) Artemenko, Paulo M. R. dos Santos

October 9-11, 2013

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 2 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Motivation

Problem

– Establishment and maintenance of common control channels (CCC) in a dynamic environment

Research Focus

– Investigation of spectrally efficient distributed schemes for establishing and maintaining CCC in CRAHNs

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 3 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Outline

Related Work
Previous Work
New Problem
Improvement
Simulation Results
Summary

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 4 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Related work

Approach Advantages Disadvantages

Dedicated Design simplicity Single point of failure Ultra-Wide Band Robust to PU activity Transmission range Sequence-Based Bounded rendezvous time Low network overhead Hopping sequences not adaptable to PU activity Group-Based Efficient broadcasting of control information High network overhead

B. Lo, “A survey of common control channel design in cognitive radio networks,” Physical Communication,
vol. 4, no. 1, pp. 26–39, Mar. 2011.

Common Control Channel Design for Cognitive Radio Ad Hoc Networks Design Goals!

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 5 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Previous Work

Wireless token-ring protocol [1] Physical layer bootstrap protocol [2] Distributed Consensus Algorithm Layer 1 Layer 2

[1] M. Ergen and D. Lee, “WTRP-wireless token ring protocol,” Vehicular Technology, IEEE Transactions on, vol. 53, no. 6, pp. 1863–1881, 2004. [2] R. Doost-Mohammady et al., “Physical Layer Bootstrapping Protocol for Cognitive Radio Networks,” Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE, pp. 1–5, 2010.

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 6 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Distributed Consensus Algorithm [1]

2 3 1 O I O n I

Distributed consensus agent nth ring-participant Co-located interferer Received signal vector Interference vector Direction of token rotation Utility Function

 





 

m

N n n m m

SINR N B m U 1 log ) (

2

Handover solution

 

m U

m

max arg

 

m M ,..., 1 

Set of spectrum opportunities

[1] P. M. R. dos Santos, M. A. A. Kalil, O. Artemenko, A. Lavrenko, A. Mitschele‐Thiel: "Self‐Organized Common Control Channel Design for Cognitive Radio Ad Hoc Networks", 2013 IEEE PIMRC, London September 2013

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 7 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Token-Ring Timing Diagram

P1 T2 Pn T1

…

Ring-participant 1 Ring-participant n Maximum Token Rotation Time Token Holding Time

O Research Idea: Token-embedded pilot tone for SINR estimation time

[1] P. M. R. dos Santos, M. A. A. Kalil, O. Artemenko, A. Lavrenko, A. Mitschele‐Thiel: "Self‐Organized Common Control Channel Design for Cognitive Radio Ad Hoc Networks", 2013 IEEE PIMRC, London September 2013

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 8 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Simulation Results

Simulation parameter Value

Simulation area 1 km2 Network spatial deployment Random Propagation model Free space path loss Channel bandwidth 200 kHz CR TX power (EIRP) 30 dBm SINR threshold 20 dB Receiver noise floor

147 dB

Network mobility model None (static network)

[1] P. M. R. dos Santos, M. A. A. Kalil, O. Artemenko, A. Lavrenko, A. Mitschele‐Thiel: "Self‐Organized Common Control Channel Design for Cognitive Radio Ad Hoc Networks", 2013 IEEE PIMRC, London September 2013

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 9 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Simulation Results – Network Capacity

∆ = 31 % ∆ = 43 % ∆ = 59 %

[1] P. M. R. dos Santos, M. A. A. Kalil, O. Artemenko, A. Lavrenko, A. Mitschele‐Thiel: "Self‐Organized Common Control Channel Design for Cognitive Radio Ad Hoc Networks", 2013 IEEE PIMRC, London September 2013

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 10 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Simulation Results – Spectrum Occupancy

∆ = -9.0 % (-1 ch) ∆ = -12.2% (-3 ch) ∆ = -14.1% (-14 ch)

[1] P. M. R. dos Santos, M. A. A. Kalil, O. Artemenko, A. Lavrenko, A. Mitschele‐Thiel: "Self‐Organized Common Control Channel Design for Cognitive Radio Ad Hoc Networks", 2013 IEEE PIMRC, London September 2013

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 11 Integrated Communication Systems Group www.tu-ilmenau.de/ics

New Problem

Old scheme:

– Good for bandwidth equaly deployed amoung subnets – Bad otherwise

Improvement is required

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 12 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Takes into acount number of ring-participating nodes
Provides fairness

Improved Distributed Consensus Algorithm

New Utility Function

 





 

m

N n n m m new

SINR N B m U 1 log ) (

2 2

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 13 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Simulation Results – Spectrum Efficiency

Cnet – total network capacity M – number of spectrum opportunities B – bandwidth of each spectrum opportunity

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 14 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Demonstration Video

Random channel hopping vs distributed consensus
Simulation parameters

1 min video

– 200 Cognitive Radios – 1 km2 simulation area – Free space path loss propagation model

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 15 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Summary

Efficient CCC for CRAHNs
Idea: Distributed Consensus Algorithm
New utility function:

– Better efficiency (4-12%) – Provides fairness

Further steps:

– SINR estimation – Upper bound efficiency estimation as benchmark

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Improved Bootstrapping Approach in Multichannel Cognitive Radio Ad Hoc Networks Oleksandr ARtemenko Page 16 Integrated Communication Systems Group www.tu-ilmenau.de/ics

Tel: +49 (0) 3677 69 2788 Fax: +49 (0) 3677 69 1226 E-mail:

leksandr.artemenko@tu-ilmenau.de

Website: www.tu-ilmenau.de/ics Dr.-Ing. Oleksandr Artemenko Integrated Communication Systems Group International Graduate School on Mobile Communications Ilmenau University of Technology

Questions? Thank you for your attention!