A Dynamic Auction-based Resource Allocation for Eliminating signal interference between Small Cell on LTE-U System
| Autor: | Wei-Fan Lai, 賴韋帆 |
|---|---|
| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 In this research with the long term evolution (LTE) in the unlicensed band (LTE-U), we discuss how to eliminate the interference for the cluster of small cells, increase the throughput, and improve the frequency reuse factor is a issue in recently years. This thesis will present the dynamic resource allocation based on the auction theory for eliminating the interference for a cluster of small cells. This solution is different from the ICIC, which is easy to be implemented but its resource allocation method is not flexible. The proposed method of dynamic resource allocation based on the auction theory lets the base station get the appropriate resource and makes the use of resource more efficiently. In the first, we propose an algorithm based on sealed-bid first price auction – central auction algorithm. In this auction algorithm, the operators are the sellers and the smallcells are the buyers and small cells bid for the auctions (system resource blocks) based on their channel quality. The smallest number of small cell is the auctioneer and it will collect the bidding of other smalcells and inform them that which resource blocks they can use. The bidding principle is to let the small cells which can modulate better throughput get the resource blocks more easily. That’s why system throughput in auction algorithm gets higher performance. However, the central auction theory has the fairness problem that some small cells may not grasp any resource during the auction. This problem cause the reason that we present an improved auction theory which is based on the English auction - distributed auction theory. In this algorithm, we remove the auctioneer and use the bidding round way to auction. For solving the fairness problem, this distributed auction algorithm includes the concept of holding fairness to improve it. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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