IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i12p293565.html
   My bibliography  Save this article

Collaborative Relay Beamforming Based on Minimum Power for M2M Devices in Multicell Systems

Author

Listed:
  • Xiaoning Zhang
  • Da Wang
  • Lin Bai
  • Chen Chen

Abstract

Recently, machine-to-machine (M2M) communication has been studied in the single cell system. However, in themulticell system multiple M2M type devices at the edge of a cell may suffer from the strong interference that consists of the intercell interference from other cells and the intracell interference from other M2M devices in the local cell. In this paper, we study the relay beamforming strategy to guarantee the quality of service (QoS) requirements of the multiple destination devices in multicell systems. We minimize the transmit power of the base stations (BSs) and relays to save the power of M2M devices, while guaranteeing the receive signal-to-interference-and-noise ratio (SINR) of the destination devices. The main contribution of this paper is that we propose an iterative algorithm to jointly optimize the BS and relay beamforming weights with minimizing the BS and relay power under the receive SINR constraints in the perfect channel state information (CSI). Using the semidefinite relaxation (SDR) technology, the optimization problems for the BS and relay beamforming weights can be effectively solved. In addition, we also discuss the issue of imperfect CSI in practice. Simulation results validate our theoretical analysis and demonstrate that our proposed iterative scheme can achieve near-optimal performance within a few iterations.

Suggested Citation

  • Xiaoning Zhang & Da Wang & Lin Bai & Chen Chen, 2013. "Collaborative Relay Beamforming Based on Minimum Power for M2M Devices in Multicell Systems," International Journal of Distributed Sensor Networks, , vol. 9(12), pages 293565-2935, December.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:12:p:293565
    DOI: 10.1155/2013/293565
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/293565
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/293565?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:9:y:2013:i:12:p:293565. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.