中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/68626
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78852/78852 (100%)
Visitors : 35661122      Online Users : 661
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/68626


    Title: 以綠能為觀點的感知無線電下最佳傳輸策略的設計與模擬;Design and Simulation of Optimal Transmission Power Management for Energy Harvesting Cognitive Radio Networks
    Authors: 藍乾上;LAN,CHIEN-SHANG
    Contributors: 通訊工程學系
    Keywords: 感知無線電;能量採集;POMDP;Cognitive Radio;energy harvesting;POMDP
    Date: 2015-07-23
    Issue Date: 2015-09-23 13:23:30 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 在此篇論文裡,吾人考慮了以綠能為觀點的感知無線電網路,沒有頻譜認證的次要使用者需利用頻譜檢測技術去檢測主要使用者是否正在傳輸資料,如果主要使用者是處於閒置狀態,次要使用者會接取頻譜去傳送資料。由於吾人考慮的次要使用者為一能量採集點,在每一時刻來的能量為一隨機過程,因此不能隨意地耗費能量。當次要使用者決定執行頻譜檢測,雖然消耗越多的能量,主要使用者狀態越明確,但用來傳送資料的能量與時間相對地減少。所以吾人以部分觀察馬可夫決策過程(POMDP)來找出最佳傳送策略,此決策過程會根據過往的觀察與現今的狀態來選出最好的動作。由於考慮的狀態總數過大,無法找出最佳解,所以吾人以兩種次佳解決策過程來解決上述所說的問題。最後吾人所提出的次佳解比其他次佳解方法還好。;In this paper, we consider energy harvesting cognitive Radio. No licensed, low priority secondary user needs to estimate licensed, high priority primary user’s activity by using spectrum sensing. If the sensing result is idle, secondary user will access bandwidth to transmit its own data. Due to secondary user is an energy harvesting sensor node, harvested energy is a stochastic process at any given time. Therefore we can’t waste any energy causally. When primary user decides to execute the action of spectrum sensing, the more energy for sensing is more reliable, SU has less time and energy to transmit signal. We formulate the optimal power management as partially observable Markov decision process(POMDP). POMDP will find an optimal policy based on previous observations and current informations. Thanks to the total number of states are too large, we can’t find an optimal solution. We use two sub-optimal solution to solve original POMDP. Finally, the sub-optimal solution we propose is better than another approach in other paper.
    Appears in Collections:[Graduate Institute of Communication Engineering] Electronic Thesis & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML283View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明