6533b835fe1ef96bd129f63e

RESEARCH PRODUCT

Multi-Resource Management for Multi-Tier Space Information Networks: A Cooperative Game

Xinru MiChungang YangZheng Chang

subject

Bargaining problemMathematical optimizationspace information networkComputer sciencetietoliikennesatelliititresource allocation020302 automobile design & engineering020206 networking & telecommunications02 engineering and technologyFunction (mathematics)Upper and lower boundslangaton tiedonsiirtooptimointi0203 mechanical engineeringConvergence (routing)Nash bargaining solutions0202 electrical engineering electronic engineering information engineeringBandwidth (computing)peliteoriaResource allocationtightest lower bound function

description

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. peerReviewed

yearjournalcountryeditionlanguage
2019-06-012019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
https://doi.org/10.1109/iwcmc.2019.8766545