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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72007


    Title: 使用率能小型基地台之拍賣是行動數據分流方法;Auction-Based Mobile Data Offloading via Green Small cell
    Authors: 周碩宣;Chou,Shuo-Hsuan
    Contributors: 通訊工程學系
    Keywords: 小型基地台;綠色能源;資源分配;拍賣理論;Small Cell;Green Energy;Resource Allocaiton;Auction Theorem
    Date: 2016-08-26
    Issue Date: 2016-10-13 14:11:38 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 近年來行動裝置的大量普及與相關的行動服務的急速增加,除了傳統的網頁瀏覽,許多伴隨著行動服務因應影音資料傳輸更是呈爆炸性成長,使得原本資源有限的無線網路面臨著挑戰。

    現今有許多研究著墨在建置小型基地台(small cell)上;小型基地台有著建置成本較低廉、功率低就可以達到增加覆蓋的效果‧‧‧等優點; 因為耗電少的特性,小型基地台也可以綠色能源作為設備運作所需電力的來源。

    但綠色能源有著先天的限制,那就是不太穩定的供電,充電量來自於自然,不像直接使用固定式供電,可以穩定且充足能量給與服務,綠能的小型基地台更需要考慮現有的充電電能是否足以完成服務,因為電量珍貴,能源使用效率也是需要考量的議題。

    現有的其他分配資源方式,例如 maximum weight matching,著重於如何最大分配,這適用於一般電力充足的情況,但在綠能情境下,就不適合,因為綠能情境下,他必須考慮到現有的充電電量,這是一個很大的限制;考量在有限制的狀況下,做最大化分配,這條件非常相似拍賣理論,作為分配方式,是非常適合且合理的。;Nowadays, more and more mobile services deploy on wireless communication,and the system capacity requirement get higher ,too. The internet service providers (ISP) want to manage this problem. First come to their mind is to construct macro cell, but quickly they face up some problems that need to consider when constructing the macro cell. The major problem is macro cell has not good coverage and energy efficiency on the edge.

    The features of small are low power consumption, having better coverage and energy efficiency on the edge. Because the small cell only need low power to active, using green energy is a good way to power it. But green energy has some uncertainty in using it. This makes some resource allocation issue when your small cell is powered by green energy.

    In this paper, we propose a auction base resource allocation to handle the problem that when we use green power small cell to raise system capacity. Finally, we provide simulation results based on several methods of resource allocation, and verify the method we propose.
    Appears in Collections:[Graduate Institute of Communication Engineering] Electronic Thesis & Dissertation

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