Distributed cognitive radio systems with temperature-interference constraints and overlay scheme. Zazo, J., Zazo, S., & Valcarcel Macua, S. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 855-859, Sep., 2014. Paper abstract bibtex Cognitive radio represents a promising paradigm to further increase transmission rates in wireless networks, as well as to facilitate the deployment of self-organized networks such as femtocells. Within this framework, secondary users (SU) may exploit the channel under the premise to maintain the quality of service (QoS) on primary users (PU) above a certain level. To achieve this goal, we present a noncooperative game where SU maximize their transmission rates, and may act as well as relays of the PU in order to hold their perceived QoS above the given threshold. In the paper, we analyze the properties of the game within the theory of variational inequalities, and provide an algorithm that converges to one Nash Equilibrium of the game. Finally, we present some simulations and compare the algorithm with another method that does not consider SU acting as relays.
@InProceedings{6952270,
author = {J. Zazo and S. Zazo and S. {Valcarcel Macua}},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {Distributed cognitive radio systems with temperature-interference constraints and overlay scheme},
year = {2014},
pages = {855-859},
abstract = {Cognitive radio represents a promising paradigm to further increase transmission rates in wireless networks, as well as to facilitate the deployment of self-organized networks such as femtocells. Within this framework, secondary users (SU) may exploit the channel under the premise to maintain the quality of service (QoS) on primary users (PU) above a certain level. To achieve this goal, we present a noncooperative game where SU maximize their transmission rates, and may act as well as relays of the PU in order to hold their perceived QoS above the given threshold. In the paper, we analyze the properties of the game within the theory of variational inequalities, and provide an algorithm that converges to one Nash Equilibrium of the game. Finally, we present some simulations and compare the algorithm with another method that does not consider SU acting as relays.},
keywords = {cognitive radio;game theory;quality of service;radiofrequency interference;distributed cognitive radio systems;temperature-interference constraints;overlay scheme;transmission rate;wireless networks;self-organized network deployment;femtocells;secondary users;SU;quality of service;QoS;primary users;PU relays;noncooperative game;transmission rate maximization;variational inequalities;Nash equilibrium;Games;Interference;Jacobian matrices;Quality of service;Cognitive radio;Gain;Relays;Cognitive radio;variational inequalities;game theory;self-organized networks;small cells},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925383.pdf},
}
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