A4 Article in conference proceedings
Multi-Resource Management for Multi-Tier Space Information Networks : A Cooperative Game (2019)


Mi, X., Yang, C., & Chang, Z. (2019). Multi-Resource Management for Multi-Tier Space Information Networks : A Cooperative Game. In IWCMC 2019 : Proceedings of the 15th International wireless communications and mobile computing conference (pp. 948-953). IEEE. International Wireless Communications and Mobile Computing Conference. https://doi.org/10.1109/iwcmc.2019.8766545


JYU authors or editors


Publication details

All authors or editors: Mi, Xinru; Yang, Chungang; Chang, Zheng

Parent publication: IWCMC 2019 : Proceedings of the 15th International wireless communications and mobile computing conference

Place and date of conference: Tangier, Morocco, 24.-28.6.2019

eISBN: 978-1-5386-7747-6

Journal or series: International Wireless Communications and Mobile Computing Conference

ISSN: 2376-6492

eISSN: 2376-6506

Publication year: 2019

Pages range: 948-953

Publisher: IEEE

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/iwcmc.2019.8766545

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67214


Abstract

With the drastic increase of space information network (SIN) traffic and the diversity of network traffic types, the optimal allocation of the scarce network resources is of great significance for optimizing the SIN system capability. In this paper, we propose a multi-resource management method for multi-tier SIN using the cooperative Nash bargaining solution. Since the original problem is a non-convex problem, we firstly make logarithmic transition, and then find a tightest lower bound function to convert the initial problem into a convex one. In order to carry out the optimal bandwidth and power allocation in SIN, we construct a joint bandwidth and power allocation (JBPA) algorithm. Simulation results show the performance improvement of the JBPA scheme and the convergence of JBPA algorithm.


Keywords: wireless data transmission; communications satellites; optimisation; game theory

Free keywords: Nash bargaining solutions; resource allocation; space information network; tightest lower bound function


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 1


Last updated on 2021-20-09 at 16:18