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Research On The Matching Game Algorithm Of Wireless Pre-storage And Edge Computing Based On Heterogeneous Network

Posted on:2019-12-12Degree:MasterType:Thesis
Country:ChinaCandidate:G W ShiFull Text:PDF
GTID:2438330551961625Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In recent years,with the rapid growth in the number of mobile devices and the significant increase in the performance of mobile devices,various delay-sensitive and computationally intensive applications are widely implemented,which leads to an intensive demand on storage and computational resources.Wireless caching and mobile edge computing can effectively solve the problem of constraints in resource.However,how to construct a wireless communication system based on these two technologies is an urgent problem to be solved.The thesis focuses on the above issues to study and achieve the following results:(1)Aiming at the problem of how to allocate resources reasonably in wireless caching system,a two-tier many-to-one matching resource allocation algorithm is proposed.The algorithm can form a stable matching of resources and reduce the system delay effectively.Simulation results show that the proposed algorithm has better performance than other benchmark algorithms.(2)In order to further optimize the resource allocation of wireless caching,a multiple-tier many-to-many matching resource allocation algorithm is proposed.This algorithm can assign the appropriate file to the femtocell access point.Also,the algorithm can associate femtocell access point with the appropriate content provider to achieve the purpose of maximizing system social welfare.It proves theoretically the stability,effectiveness and uniqueness of many-to-many matching.Simulation results show that the proposed algorithm can effectively reduce the system delay and improve the social welfare.(3)Aiming at the lack of mobile computing capability in mobile edge computing system,an edge computing node selection algorithm based on matching game is proposed.Based on the mobile users' sensitivity to delay and energy,the edge computing node is efifectively selected.Simulation results show that the proposed algorithm can effectively decrease system Cost.At the end of the thesis,the thesis summarizes the full text,and looks forward to the follow-up research.
Keywords/Search Tags:wireless communication, heterogeneous network, wireless caching, mobile edge computing, matching game, resource allocation
PDF Full Text Request
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