• DocumentCode
    692299
  • Title

    Exploiting network cooperation for green communications in cognitive radio networks

  • Author

    Zeyang Dai ; Jian Liu ; Chonggang Wang ; Keping Long

  • Author_Institution
    Sch. of Commun. & Inf. Eng. (SCIE), Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    4554
  • Lastpage
    4559
  • Abstract
    The needs for increasing the profits of network operators and protecting our environment have led to great research interest in green communications. In this paper, we propose a novel scheme, called cognitive network cooperation (CNC), to achieve energy-efficient secondary transmissions while ensuring the quality-of-service (QoS) of primary transmissions in heterogeneous cognitive radio networks (HCRNs). In CNC, the secondary users (SUs) are allowed to assist the data transmissions of primary users (PUs) in exchange for some spectrum. Then, the secondary traffic flow is split between the released licensed spectrum and the unlicensed spectrum to reduce the energy consumption. Under a given target secondary data rate, a specific traffic splitting method via network cooperation is developed, aiming at maximizing the amount of the spectrum released from PUs and minimizing the energy consumption of SUs. Extensive simulation studies demonstrate that the proposed CNC scheme can remarkably reduce the energy consumption of secondary transmissions without sacrificing the performance of primary transmissions.
  • Keywords
    cognitive radio; quality of service; telecommunication power management; telecommunication traffic; CNC; HCRNs; PU; QoS; SU; cognitive network cooperation; data transmissions; energy consumption; exploiting network cooperation; green communications; heterogeneous cognitive radio networks; network cooperation; network operators; primary users; quality-of-service; secondary traffic flow; secondary users; target secondary data rate; traffic splitting method; unlicensed spectrum; Computer numerical control; Energy consumption; Green products; Power demand; Quality of service; Rats; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2013.6855669
  • Filename
    6855669