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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/84105
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/84105

    Title: Qos-Constraint Resource Allocation Scheduler for LTE Network
    Authors: Jang, Hung-Chin;Lee, Yun-Jun
    Contributors: 資科系
    Date: 2014
    Issue Date: 2016-04-11 14:39:45 (UTC+8)
    Abstract: The goal of LTE (Long Term Evolution) is to provide high data transmission rate, scalable bandwidth, low latency, high-mobility, etc. LTE employs OFDM (Orthogonal Frequency Division Multiplexing) and SC-FDMA (Single Carrier - Frequency Division Multiple Access) for downlink and uplink data transmission, respectively. As to SC-FDMA, there are two constraints in doing resource allocation. First, the allocated resource blocks (RBs) should be contiguous. Second, those of the allocated RBs are forced to use the same modulation technique. The aim of this research is to propose a QoS-constraint resource allocation scheduling to enhance data transmission for uplink SC-FDMA. The proposed scheduling is a three-stage approach. In the first stage, it uses a time domain scheduler to differentiate user equipment (UE) services according to their distinct QoS service requirements. In the second stage, it uses a frequency domain scheduler to prioritize UE services based on channel quality. In the third stage, it limits the number of times of modulation downgrade of RBs allocation in order to enhance system throughput. In the simulations, the proposed method is compared to fixed sub-carrier dynamic resource allocation method and adaptive dynamic sub-carrier resource allocation method. Simulation results show that the proposed method outperforms the other two methods in terms of throughput, transmission delay, packet loss ratio, and RB utilization.
    Relation: International Journal of Wireless Networks and Broadband Technologies, 4(1), 1-15
    Data Type: article
    DOI 連結: http://dx.doi.org/10.4018/ijwnbt.2015010101
    DOI: 10.4018/ijwnbt.2015010101
    Appears in Collections:[資訊科學系] 期刊論文

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