Title page for etd-0806117-171546


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URN etd-0806117-171546
Author Kuan-Lin Chen
Author's Email Address ckl19930819@hotmail.com.tw
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Department Computer Science and Engineering
Year 2017
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Joint Device-to-Device and Small Cell On/Off with Energy Saving in Dense Small Cell
Date of Defense 2017-08-24
Page Count 98
Keyword
  • QoS
  • Small Cell On/Off
  • Long Term Evolution
  • Device-to-Device Relay
  • Device-to-Device communication
  • Abstract Traffic volume in cellular networks has increased considerably during recent years and is expected to continue at an exponential rate. As a result, the Third Generation Partnership Project (3GPP) has proposed Heterogeneous Networks, which add low power nodes such as pico cells and femto cells to the existing Homogeneous Networks, to improve system capacity. With the wide deployment of the base station, it increases the capacity of the networks, whereas the energy consumption also increases.
    In Release 12, 3GPP sets a standard of “D2D” communication technology, so that the two devices can communication directly without through the base station. In addition, D2D has the advantage of enhancing the system capacity and reducing the transmission time and device power consumption and so on. In Release 13, 3GPP proposes the concept of relaying to combine it with D2D communication, so that it can extend the network coverage further.
    Of switching off base station, the scenario previous studies most consist of traditional cellular users. Therefore, in this paper we joint the D2D communication technology and D2D Relay technology. In this scenario, we consider how to select the base station into sleep mode and how to manage the users to handover to the neighbor’s base stations, so that we can achieve the better energy saving effect. We propose a BTS on/off algorithm and user association algorithm in order to have the better energy saving effect. Finally, simulation results show that the proposed methods have better energy consumption and throughput, compared with the existing methods.
    Advisory Committee
  • Wen-Shyong Hsieh - chair
  • Bing-Hong Liu - co-chair
  • Chun-Hung Richard Lin - co-chair
  • Chung-Ming Huang - co-chair
  • Wei-Kuang Lai - advisor
  • Files
  • etd-0806117-171546.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2017-09-06

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