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以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數：13 、訪客IP：3.146.255.127
姓名 賴韋帆(Wei-Fan Lai) 查詢紙本館藏 畢業系所 通訊工程學系 論文名稱 以拍賣策略之動態分散式資源分配於降低叢集LTE-U系統小型基地台之間干擾的研究
(A Dynamic Auction-based Resource Allocation for Eliminating signal interference between Small Cell on LTE-U System)相關論文 檔案 [Endnote RIS 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
至系統瀏覽論文 ( 永不開放)
摘要(中) 在本篇論文中，探討在LTE 系統考慮非授權頻譜(Unlicensed band)後，如何解決
干擾並提升頻譜使用效率以及頻譜重複使用率?
為了要解決叢集小型基地台間的干擾，我提出了基於拍賣理論應用於動態資源分配的
想法；有別於傳統的ICIC 演算法雖然簡單易於實做，但頻譜使用並沒有彈性，因此希
望利用拍賣競標的概念讓最合適的人去投標取得適合自己使用的資源，讓資源利用最
佳化?先以基於第一密封式拍賣方法的拍賣理論提出集中式拍賣演算法，以電信業者
為賣方，系統資源(Resource Blocks)為拍賣商品，小型基地台(Smallcells)為投標者，
以編號最小的基地台當任拍賣官，來蒐集其他基地台投標資訊，並分配完資源後通知
各個基地台所分配到的RB；出價原則為讓可得到更高throughput 的基地台有較大的優
勢去贏得競價，進而提升整體系統效能；然而，在集中式拍賣演算法中出現公平性以
及決定權於單一基地台的問題，我們提出改良後的分散式拍賣演算法，並使用英式拍
賣方法為基礎做拍賣理論的動態資源分配，同時取消掉拍賣仲裁者角色，以來回出價
的概念進行競拍，並在投標者的出價原則中加入了負載持有平衡比例的想法，改善集
中式拍賣演算法中的投標者滿意度問題?摘要(英) 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.關鍵字(中) ★ 非授權頻譜
★ 異質網路
★ 叢集小型基地台
★ ICIC
★ 拍賣理論
★ 集中式拍賣演算法
★ 分散式拍賣演算法關鍵字(英) ★ unlicensed band
★ heterogeneous network
★ ICIC/eICIC
★ auction theory
★ dynamic central auction algorithm
★ dynamic distributed auction algorithm論文目次 目錄......................................................................V
圖目錄...................................................................VI
表目錄.................................................................VIII
一、序論..................................................................1
1-1 研究背景..........................................................1
1-2 研究動機..........................................................1
1-3 論文架構..........................................................6
二、相關背景及研究........................................................7
2-1 LTE-A 與LTE-U/LAA.................................................7
2-1-1 LTE 系統架構................................................13
2-1-2 LTE 協定架構................................................17
2-1-2-1 無線存取層協定.......................................19
2-1-2-2 網路層通訊協定.......................................24
2-1-3 PHY 資源規劃................................................30
2-2 ICIC 與eICIC.....................................................34
2-2-1 ICIC/eICIC 的用意？.........................................34
2-2-2 ICIC.......................................................35
2-2-3 eICIC......................................................35
2-3 先聽後送LBT......................................................37
2-4 拍賣理論.........................................................42
三、動態集中式拍賣演算法以及動態分散式拍賣演算法.........................47
3-1 動態投標式拍賣演算法與動態分散式拍賣演算法.......................48
3-1-1 LTE-U 基地台環境............................................48
3-1-2 動態集中式拍賣演算法.......................................48
3-1-3 動態分散式拍賣演算法.......................................51
四、模擬與分析...........................................................53
4-1 模擬數據討論.....................................................53
4-1-1 系統throughput............................................53
4-1-1-1 模擬參數.............................................53
4-1-1-2 小型基地台叢集示意圖.................................56
4-1-1-3 系統throughput 分析..................................57
4-1-2 滿意度.....................................................60
4-1-2-1 模擬參數.............................................61
4-1-2-2 滿意度分析...........................................62
五、結論與未來研究.......................................................71
六、參考文獻.............................................................73參考文獻 [1] Shihab Jimaa, Kok Keong Chai, Yue Chen, Yasir Alfadhl, "LTE-A
an overview and future research areas," ISBN: 978-1-4577-2013-0,
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Wireless Communications (Volume:15 , Issue: 3 ), November 2015指導教授 吳中實(Jung-Shyr Wu) 審核日期 2016-7-14 推文 plurk
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