Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Transceiver optimization for af MIMO relay systems with wireless powered relay nodes

    Access Status
    Fulltext not available
    Authors
    Li, Bin
    Rong, Yue
    Date
    2018
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Li, B. and Rong, Y. 2018. Transceiver optimization for af MIMO relay systems with wireless powered relay nodes, pp. 1-6.
    Source Title
    2017 23rd Asia-Pacific Conference on Communications: Bridging the Metropolitan and the Remote, APCC 2017
    DOI
    10.23919/APCC.2017.8304062
    ISBN
    9781740523905
    URI
    http://hdl.handle.net/20.500.11937/73023
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 University of Western Australia. In this paper, we study a two-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay system, where the relay node has no self-power supply, and relies on harvesting the radio frequency energy transferred from the source node to forward information from source to destination. We apply the time switching (TS) protocol between wireless information and energy transfer. As a novel contribution of this paper, we propose a more general energy consumption constraint at the source node during the information and energy transfer, which includes the constant power constraints used in existing works as special cases. We study the joint optimization of the source precoding matrices, the relay amplifying matrix, and the TS factor to maximize the source-destination mutual information (MI). The optimal structure of the source and relay matrices is derived, which reduces the original transceiver optimization problem to a simpler power allocation problem. Numerical simulations show that the proposed algorithm yield higher system MI and better rate-energy tradeoff than an existing approach.

    Related items

    Showing items related by title, author, creator and subject.

    • Signal processing algorithms for multiuser MIMO relay communication systems
      Khandaker, Muhammad Ruhul Amin (2012)
      The increasing demand for mobile applications such as streaming media, software updates, and location-based services involving group communications has prompted the need for wireless communication technologies that can ...
    • Joint Transceiver Optimization for Wireless Information and Energy Transfer in Non-Regenerative MIMO Relay Systems
      Li, B.; Rong, Yue (2018)
      IEEE In this paper, a two-hop non-regenerative multiple-input multiple-output (MIMO) relay system is investigated, where the relay node relies on harvesting the radio frequency energy transferred from the source node to ...
    • Two-Hop AF MIMO Relay System Optimization With Own Information From the Relay Node
      Su, Q.; Rong, Yue (2019)
      In this paper, we consider precoding matrices optimization for a new two-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay system, where in addition to forwarding the source signals, the relay node ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin University would like to pay our respect to the indigenous members of our community by acknowledging the traditional owners of the land on which the Perth Campus is located, the Wadjuk people of the Nyungar Nation; and on our Kalgoorlie Campus, the Wongutha people of the North-Eastern Goldfields.
    Watch our traditional Aboriginal welcome