Spectral Efficiency Regions Associated to Satisfaction of QoS Based Bandwidth Strategies
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Abstract
This paper presents the study results of the identification of the regions of spectral efficiency that satisfy the requirements of quality of service (QoS) based on restrictions of bandwidth based on IEEE 802.11 multicell. This problem is addressed from the perspective of game theory for the channeling defined in 802.11g, and considering only the nonoverlapping channels. To solve the game, the concepts of Nash Equilibrium (NE), Satisfaction Equilibrium (ES) and Efficient Satisfaction Equilibrium (ESE) are introduced, proposing an algorithm to identify regions of capacity that satisfy the QoS required by a user. Particularly, in this game, the solution that allows to guarantee the transfer information rate required by a network user while minimizing the required resources (bandwidth) is sought, allowing users to maximize the amount that can be associated to an AP on the network. In the present scenario, it is verified that the different Equilibrium NE, SE and ESE depend directly on the conditions of channel gain.
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ASTAIZA, Evelio; BERMUDEZ O, Héctor Fabio; MUÑOZ, Luis Freddy.
Spectral Efficiency Regions Associated to Satisfaction of QoS Based Bandwidth Strategies.
Ingeniería y Ciencia | ing.cienc., [S.l.], v. 12, n. 24, p. 149-168, nov. 2016.
ISSN 2256-4314.
Available at: <http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/3485>. Date accessed: 20 sep. 2017.
doi: https://doi.org/10.17230/ingciencia.12.24.7.
Keywords
Bandwidth; Nash equilibrium; satisfaction equilibrium; efficient satisfaction equilibrium; quality service; game theory
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References
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[4] D. Lopez-Perez, I. Guvenc, and X. Chu, “Mobility management challenges in 3GPP heterogeneous networks,” IEEE Communications Magazine, vol. 50, pp. 70–78, Dec. 2012. 151
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[6] A. Mesodiakaki, F. Adelantado, L. Alonso, and C. Verikoukis, “Energyefficient user association in cognitive heterogeneous networks,” IEEE Communications Magazine, vol. 52, pp. 22–29, July 2014. 151
[7] C. Jiang, Y. Chen, K. J. R. Liu, and Y. Ren, “Renewal-theoretical dynamic spectrum access in cognitive radio network with unknown primary behavior,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 3, pp. 406– 416, 2013. 151
[8] C. Jiang, Y. Chen, Y.-H. Yang, C.-Y. Wang, and K. J. R. Liu, “Dynamic Chinese Restaurant Game: Theory and Application to Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, vol. 13, pp. 1960–1973, Apr. 2014. 151
[9] C. Jiang, Y. Chen, and K. J. R. Liu, “Multi-Channel Sensing and Access Game: Bayesian Social Learning with Negative Network Externality,” IEEE Transactions on Wireless Communications, vol. 13, no. 4, pp. 2176–2188, 2014. 151
[10] M. Haddad, H. Sidi, P. Wiecek, and E. Altman, “Automated dynamic offset applied to cell association,” IEEE INFOCOM 2014 - IEEE Conference on Computer Communications, vol. CoRR, pp. 1788–1796, Apr. 2014. 151
[11] E. Astaiza Hoyos, H. F. Bermúdez Orozco, and D. L. Trujillo Dávila, “Access point Selection in 802.11 Wireless Networks Guaranteeing Minimum QoS,” Ingeniería y Ciencia, vol. 10, no. 20, pp. 115–137, 2014. 151
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[14] S. M. Perlaza, H. Tembine, S. Lasaulce, and M. Debbah, “Quality-Of-Service Provisioning in Decentralized Networks: A Satisfaction Equilibrium Approach,” IEEE Journal of Selected Topics in Signal Processing, vol. 6, pp. 104–116, Apr. 2012. 151, 156, 157
[15] T. M. Cover and J. A. Thomas, “Elements of Information Theory, 2nd Edition,” p. 748, 2006. 152, 162
[16] H. Rohling, “OFDM,” p. 253, 2011. 153
[17] R. Nee, Richard van and Prasad, “OFDM for Wireless Multimedia Communications,” p. 280, 2000. 153
[18] S. Lasaulce, M. Debbah, and E. Altman, “Methodologies for analyzing equilibria in wireless games,” IEEE Signal Processing Magazine, vol. 26, pp. 41–52, Sept. 2009. 156
[19] K. Mittal, E. M. Belding, and S. Suri, “A game-theoretic analysis of wireless access point selection by mobile users,” Computer Communications, vol. 31, pp. 2049–2062, June 2008. 156