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Resource Allocation in Cognitive Radio Networks: A Comparison Between Game Theory Based and Heuristic Approaches

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Abstract

Cognitive Radio (CR) approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper shows the potential benefits of the adoption of a cognitive radio strategy to the coexistence problem. Two different approaches have been considered: the first one is based on the Game Theory while the second one is formalized as a constrained maximum search and represent the optimum solution. The Game theory approach, suitable for a distributed implementation, provides performances comparable to the heuristic one which is a centralized optimization problem. The paper analyzes the performances of both approaches in terms of secondary rates and spectral efficiency provided by the secondary system.

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Abbreviations

BER:

Bit error rate

CR:

Cognitive radio

ETSI:

European telecommunications standard institute

DVB-SH:

Digital satellite video broadcasting—Satellite services to handhelds

FCC:

Federal communications commission

PDF:

Probability density function

OFDM:

Orthogonal frequency division multiplexing

QAM:

Quadrature amplitude modulation

QPSK:

Quadrature phase shift keying

SINR:

Signal to noise and interference ratio

References

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Correspondence to Gherardo Gorni.

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Del Re, E., Gorni, G., Ronga, L.S. et al. Resource Allocation in Cognitive Radio Networks: A Comparison Between Game Theory Based and Heuristic Approaches. Wireless Pers Commun 49, 375–390 (2009). https://doi.org/10.1007/s11277-009-9689-0

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  • DOI: https://doi.org/10.1007/s11277-009-9689-0

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