Joint cell selection and resource allocation games with backhaul constraints

Ortín, J. (Universidad de Zaragoza) ; Gállego, J. R. (Universidad de Zaragoza) ; Canales, M. (Universidad de Zaragoza)

Resumen: In this work we study the problem of user association and resource allocation to maximize the proportional fairness of a wireless network with limited backhaul capacity. The optimal solution of this problem requires solving a mixed integer non-linear programming problem which generally cannot be solved in real time. We propose instead to model the problem as a potential game, which decreases dramatically the computational complexity and obtains a user association and resource allocation close to the optimal solution. Additionally, the use of a game-theoretic approach allows an efficient distribution of the computational burden among the computational resources of the network.

Idioma: Inglés

DOI: 10.1016/j.pmcj.2016.06.009

Año: 2017

Publicado en: PERVASIVE AND MOBILE COMPUTING 35 (2017), 125-145
ISSN: 1574-1192

Factor impacto JCR: 2.974 (2017)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 33 / 148 = 0.223 (2017) - Q1 - T1
Categ. JCR: TELECOMMUNICATIONS rank: 27 / 87 = 0.31 (2017) - Q2 - T1

Factor impacto SCIMAGO: 0.368 - Computer Science (miscellaneous) (Q2) - Applied Mathematics (Q3)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T98
Financiación: info:eu-repo/grantAgreement/EC/H2020/644262/EU/What to do With the Wi-Fi Wild West/Wi-5
Financiación: info:eu-repo/grantAgreement/ES/MICINN/TEC2011-23037
Financiación: info:eu-repo/grantAgreement/ES/MICINN/TEC2014-52969-R
Financiación: info:eu-repo/grantAgreement/ES/UZ/CUD2013-05

Tipo y forma: Article (Published version)

Área (Departamento): Área Ingeniería Telemática (Dpto. Ingeniería Electrón.Com.)