基於比例公平原則之LTE物聯網非授權頻譜之排程策略;A Scheduling Strategy for LTE-IoT Accessing Unlicensed Band with Proportional Fairness

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/77385

Title:	基於比例公平原則之LTE物聯網非授權頻譜之排程策略;A Scheduling Strategy for LTE-IoT Accessing Unlicensed Band with Proportional Fairness
Authors:	張傳寅;Chang, Chuan-Yin
Contributors:	通訊工程學系
Keywords:	eMTC;NB-IoT;LTE;LTE-U;資源分配;eMTC;NB-IoT;LTE;LTE-Unlicensed;resource allocation
Date:	2018-07-18
Issue Date:	2018-08-31 14:36:20 (UTC+8)
Publisher:	國立中央大學
Abstract:	隨著物聯網逐漸的發展，業界歸納出今日物聯網應具備之特性，如無線、長距離、低電力消耗等等，並據此制定並推行許多針對物聯網應用需求的新技術，3GPP也定義出了eMTC和NB-IoT作為競爭LPWAN市場。 LTE-A為了追求更高的傳輸速度，3GPP於Release 13和Release 14中提出了LAA和eLAA，將載波聚合的技術應用在聚合授權頻譜和非授權頻譜上數個載波單元，以實現更大的傳輸頻寬，即為LTE-U。在MulteFire Alliance的想法中，未來能夠動態的調配授權頻譜和非授權頻譜的資源給LTE-IoT、LTE用戶和LTE-U用戶。本篇論文即是在研究在加入LTE-IoT的環境下的排程演算法，我們會根據LTE-IoT、LTE用戶和LTE-U的用戶給予不同的權重大小，做初步的排程，考慮GBR的因素，對授權頻譜和非授權頻譜皆會有占用程序，保障GBR用戶的傳輸量，為了擴展LTE-IoT設備使用非授權頻譜，我們使用K-means分群演算法，讓eMTC和LTE-U用戶分群並讓LTE-U用戶帶eMTC的資料上傳。考慮到NB-IoT有自己的一條通道，但如果發生塞車的狀況，導致滿意度下降，也讓NB-IoT設備能有機制可以使用非授權頻譜以提升滿意度。 ;With the growing of the Internet of Things(IoT) development, the industry has summarized the characteristics that the IoT should have nowadays, such as wireless, long-distance, low power consumption, and so on. Accordingly to above, the industry has implemented a number of new technologies for IoT applications, 3GPP also defined eMTC and NB-IoT as competitor in LPWAN markets. In order to pursue higher transmission rate, LTE-A proposes LAA and eLAA in Release 13 and Release 14, applies the carrier aggregation technology to aggregate licensed spectrum and unlicensed spectrum on several carrier units to achieve higher speed, is named LTE-U. The idea comes form Qualcomm, the future can dynamically allocate resources from licensed spectrum and unlicensed spectrum to LTE-IoT, LTE users and LTE-U users. This thesis is studying the scheduling algorithm in the LTE-based IoT environment. We will do preliminary scheduling and giving different weights according to the LTE-IoT, LTE users, and LTE-U users. Considering the factors of GBR, there will be occupation procedures for licensed spectrum and unlicensed spectrum to ensure the guaranteed transmission of GBR users. In order to expand the use of unlicensed spectrum to LTE-IoT devices, we use a K-means clustering algorithm to allow eMTC devices and LTE- U users are grouped and LTE-U users upload eMTC devices data. Taking into account that NB-IoT has its own channel, once if congestion occurs resulting the decrease of satisfaction, it also allows NB-IoT devices to have mechanisms to use unlicensed spectrum to increase satisfaction.
Appears in Collections:	[Graduate Institute of Communication Engineering] Electronic Thesis & Dissertation

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