中大學術數位典藏-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 987654321/106128
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94201/94201 (100%)
Visitors : 81668599      Online Users : 3542
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: https://ir.lib.ncu.edu.tw/handle/987654321/106128


    Title: Toward green power allocation in relay-assisted multiuser networks: A pricing-based approach
    Authors: 古孟霖;Singh, Keshav;Ku, Meng-Lin
    Contributors: 資訊電機學院通訊工程學系
    Keywords: Algorithms;Allocations;Antennas;Clean energy;Communication channels;Computer simulation;energy efficiency;Green communications;Interference;Lower bounds;multiuser relay networks;Networks;Optimization;power allocation;Power demand;Relay networks (telecommunications);Resource management;Wireless communication
    Date: 2015-05-01
    Issue Date: 2026-04-23 13:09:41 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
    Abstract: 摘要: Green communications have emerged as a demanding concept for improving the network energy efficiency (EE). In this paper, a pricing-based approach is investigated to achieve energy-efficient power allocation in relay-assisted multiuser networks. We introduce a network price to the power consumption as a penalty for the achievable sum rate, and study its impact on the tradeoff between the EE and the spectral efficiency (SE). It is hard to directly solve the problem as it is non-convex, and thus a concave lower bound on the pricing-based utility is applied to transform the problem into a convex one. Through dual decomposition, a q-price algorithm is proposed for iteratively tightening the lower bound and finding the optimal solution. In addition, an optimal price that enables green power allocation is defined and found from the viewpoint of maximizing EE. We further analyze the optimal power allocation strategies of the pricing-based approach in a two-user case under different noise operating regimes, yielding on-off, water-filling, and channel-reversal approaches, etc. Finally, the performance of the proposed approach is evaluated by computer simulations, and we characterize the interaction between the EE and SE for various network parameters when the network is designed from the energy-efficient perspective.
    其他題名: TWC
    出版者: New York: IEEE
    出版日期: 2015-05
    出處: IEEE transactions on wireless communications, 2015-05, Vol.14 (5), p.2470-2486
    資源來源: IEEE Electronic Library (IEL)
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) May 2015
    識別號: ISSN: 1536-1276
    識別號: EISSN: 1558-2248
    識別號: DOI: 10.1109/TWC.2014.2387165
    識別號: CODEN: ITWCAX
    Appears in Collections:[Department of Communication Engineering] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML34View/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