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    Joint Transceiver Optimization for DF Multicasting MIMO Relay Systems with Wireless Information and Power Transfer

    88753.pdf (1.542Mb)
    Access Status
    Open access
    Authors
    Wang, S.
    He, Z.
    Rong, Yue
    Date
    2021
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Wang, S. and He, Z. and Rong, Y. 2021. Joint Transceiver Optimization for DF Multicasting MIMO Relay Systems with Wireless Information and Power Transfer. IEEE Transactions on Communications. 69 (7): pp. 4953-4967.
    Source Title
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2021.3072728
    ISSN
    0090-6778
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    Remarks

    © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/88929
    Collection
    • Curtin Research Publications
    Abstract

    In this article, we investigate a two-hop decode-and-forward (DF) multicasting multiple-input multiple-output (MIMO) wireless relay communication system. Different to conventional systems, the radio frequency (RF) energy from the source node is harvested at the relay node and used for forwarding signals to a group of receivers. Considering the structure of the energy harvesting (EH) relay node, we present a power splitting (PS) based protocol and a novel time switching (TS) based protocol by introducing two additional TS factors. For both protocols, we maximize the system mutual information (MI) of the multicasting MIMO relay system by jointly optimizing the source and relay covariance matrices under the constraints of the source energy and the relay harvested energy. In addition, a practical nonlinear EH model is adopted, where the energy harvested by the relay node is bounded as the incident RF signal power increases, and the harvested power is zero when the input power is below the minimum power for harvesting. For the TS based protocol, we also consider peak transmission power constraints at both the source and relay nodes. The performance of the proposed algorithms is verified via numerical simulations. The results demonstrate that the novel TS based protocol achieves a larger MI than the conventional TS protocol. The PS and TS based protocols achieve tradeoffs at different source power levels. In particular, compared with the PS based protocol, the proposed novel TS based protocol can reach a higher system MI when the EH bound is not reached, while the former protocol reaches a higher MI when the EH circuit is saturated. We show that the peak harvested energy constraint plays an important role in selecting the optimal location of the relay node.

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