Spectrum overhead-based presale system model and hierarchical learning algorithm

Abstract

The invention discloses a spectrum overhead-based presale system model and a hierarchical learning algorithm. According to the model, a spectrum manager sells resources to a user to profit, a presalemechanism helps lower impact caused by uncertain user demand, so as to increase profits of a spectrum resource manager and the user. The algorithm comprises steps of setting up a multi-user hierarchical game, wherein participants are spectrum managers and users; joining in a neighbor alliance randomly by a user, calculating expected utility, comparing utility functions before and after the user joins the alliance, selecting the superior resolution, and forming a stable alliance structure; pre-purchasing spectrum resources from the spectrum manager by the alliance, and updating resource provision volume by the spectrum manager; and cycling and iterating till users make up a stable alliance. The method effectively increases direct gains of the spectrum manager and the user.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a spectrum overhead-based pre-sale system model and a layered learning algorithm. Background technique [0002] With the development of wireless technology and the increase of business traffic, the shortage of wireless spectrum resources has become a bottleneck for the development of new technologies. In view of this problem, the current related research mainly focuses on the maximization of the spectrum resource revenue quoted by the user and the optimal resource allocation of the user demand (reference 1: P.Si, H.Ji, F.Yu and V.C.MLeung, “Optimal Cooperative Internetwork Spectrum Sharing for Cognitive Radio Systems With Spectrum Pooling,” in IEEE Transactions on Vehicular Technology, vol.59, no.4, pp.1760–1768, 2010.). [0003] In related studies, less attention has been paid to the spectrum resource pool mechanism. The spectrum resource pool is a spectrum reso...

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Problems solved by technology

[0004] Energy group buying related literature (reference 3: J.Xu, L.Duan and R.Zhang, "Energy Group Buying With Loading Sharing for Green Cellular Networks," in IEEE Journal on Selected Areas in Communications, vol.34, no.4, pp .786–799,2015.) The scheme proposed can optimize the energy utilization rate, but this document is aimed at the energy group buying problem, and has not been transformed into the spectrum problem

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