政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/56329

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/56329

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政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/56329

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/56329

Title:	LTE下行鏈路中具調適服務品質及公平性考量之排程研究 Adaptive QoS and fairness consideration for downlink scheduling in LTE
Authors:	胡建彪 Hu, Chien-Piao
Contributors:	張宏慶 Jang, Hung Chin 胡建彪 Hu, Chien-Piao
Keywords:	長期演進排程服務品質公平性下行鏈路 LTE scheduling QoS Fairness Downlink
Date:	2011
Issue Date:	2012-12-03 11:27:20 (UTC+8)
Abstract:	隨著全球通訊技術的發展，第四代行動通訊系統(4G)已進入我們的生活之中。其中又以長期演進技術（Long Term Evolution, LTE）為代表。LTE使用了正交分頻多工(Orthogonal Frequency-Division Multiplexing, OFDM)以及多輸入多輸出(Multi-Input Multi-Output, MIMO)技術，使得第四代行動網路在上傳以及下載時，能擁有更大的傳輸量，及更遠的傳輸距離。　　當下載時，因為每位使用者所在的環境不同，造成傳輸量、延遲時間因而不同，所以基地台分配資源時，尚有許多改善的空間。目前，許多文獻在探討如何公平且有效地分配資源塊(Resource Block, RB)給使用者裝置(User Equipment, UE)，如Proportional Fair (PF)與Modified Largest Weighted Delay First (MLWDF)兩種排程機制。前者考量了優先權的公平性，但沒有考量服務品質(Quality of Service, QoS)；後者對於較即時的封包有較高的優先權，卻導致資源分配不均，將大量的資源給部份使用者。本篇論文著重於公平性以及服務品質的考量，使用不同方式的佇列存放各種不同的資源型態(resource type)，依照資源型態佔整體資源數量的比例，以及計算出Adaptive Modified Largest Weighted Delay First (AMLWDF)的優先權值，針對各個UE與各個通道(channel)做全面性地配置，來提昇公平性及降低延遲以符合QoS要求。 Owing to the development of global communication technology, the Long Term Evolution (LTE) is the latest technology for the fourth generation mobile communication systems (4G) that has entered into our lives. LTE uses Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO) technology to provide high data rate transmission and long distance transmission when users doing download and upload. When doing download, users may have different throughput, delay time, and jitter due to they are in different locations. To improve these performance indexes, the E-UTRAN Node B (eNodeB) has to allocate resource blocks efficiently. In the literature, many works explore how to fairly allocate resource blocks (RB) to users. Proportional Fair (PF) and Modified Largest Weighted Delay First (MLWDF) are two example scheduling mechanisms. PF considers service priority and fairness, but doesn`t consider the Quality of Service (QoS). MLWDF considers QoS but not service priority and fairness, and allows eNodeB giving more resources to particular users. In this thesis, we focus on resource allocation problem of downlink scheduling in LTE. Considering fairness and QoS, we store various resource types into particular queues and calculate the priorities using Adaptive Modified Largest Weighted Delay First (AMLWDF). The relationships between users and channels are coordinated according to the priorities for the sake of enhancing the fairness and reducing the delay time and jitter.
Reference:	[1] 3GPP, TS 36.321, Evolved Universal Terrestrial Radio Access (E-UTRA); Medium Access Control (MAC) protocol specification, ver. 8.12.0. [2] 3GPP, TS 36.322, Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Link Control (RLC) protocol specification, ver. 8.8.0. [3] 3GPP, TS 36.323, Evolved Universal Terrestrial Radio Access (E-UTRA); Packet Data Convergence Protocol (PDCP) specification, ver. 8.6.0. [4] 3GPP TS 36.300, Evolved Universal Terrestrial Radio Access (E-UTRA)and Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Overall description; Stage 2, ver. 10.5.0. [5] C. Mehlfuhrer, M. Wrulich, J.C Ikuno, D.Bosanska, and M. Rupp, "Simulating the Long Term Evolution Physical Layer," in Proc. of the 17th European Signal processing conference (EUSIPCO 2009), Glasgow, Scotland, Aug. 2009. [6] H. Fattah and H. Alnuweiri, “A Cross-Layer Design for Dynamic Resource Block Allocation in 3G Long Term Evolution System,” Mobile Adhoc and Sensor Systems, IEEE, pp.929-934, Oct 2009. [7] S. Schwarz, C. Mehlfuhrer and M. Rupp, “Low Complexity Approximate Maximum Throughput Scheduling for LTE,” 44th Annual Asilomar conference on Signals, Systems and Computers, California, USA, 2010. [8] JM Holtzman, QUALCOMM Inc., “Asymptotic Analysis of Proportional Fair Algorithm,” Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), vol. 2, page(s): F-33-F-37, Aug. 2001. [9] R. Basukala, H.A. Mohd Ramli, and K. Sandrasegaran, “Performance Analysis of EXP/PF and M-LWDF in Downlink 3GPP LTE System,” in Proc. of the 1st Asian Himalayas International Conference on Internet (AH-ICI’09), pp.1-5, Aug. 2009. [10] O. Nwamadi, X. Zhu and A. K. Nandi, “Dynamic Physical Resource Block Allocation Algorithms for Uplink Long Term Evolution,” in proc. 16th European signal processing conference, Eusipco, Lausanne, Aug. 2011. [11] 3GPP TS 23.107, Quality of Service (QoS) Concept and Architecture, ver. 3.9.0. [12] Agilent Technologies, “3GPP Long Term Evolution: System Overview, Product Development and Test Challenges,” pp.81-86, June 2009. [13] “The Network Simulator ns-3” (NS-3). Retrieved: http://www.nsnam.org/docs/release/3.13/tutorial/singlehtml/index.html, February 2012. [14] “Ns-3 LTE Module Documentation-LENA M2 Documentation” Open Source Project. Retrieved: http://lena.cttc.es/manual/ , February 2012.
Description:	碩士國立政治大學資訊科學學系 98753027 100
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0098753027
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

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