淡江大學機構典藏:Item 987654321/100101
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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/100101


    Title: Multiantenna Relay Beamforming Design for QoS Discrimination in Two-way Relay Networks
    Authors: Xiong, K.;Zhang, Y.;Li, D.;Chang, C. Y.;Zhong, Z. D.
    Contributors: 淡江大學資訊工程學系
    Date: 2013-09-01
    Issue Date: 2015-01-28 11:07:32 (UTC+8)
    Publisher: America: Hindawi Publishing Corporation
    Abstract: This paper investigates the relay beamforming design for quality of service (QoS) discrimination in two-way relay networks. The purpose is to keep legitimate two-way relay users exchange their information via a helping multiantenna relay with QoS guarantee while avoiding the exchanged information overhearing by unauthorized receiver. To this end, we propose a physical layer method, where the relay beamforming is jointly designed with artificial noise (AN) which is used to interfere in the unauthorized user’s reception. We formulate the joint beamforming and AN (BFA) design into an optimization problem such that the received signal-to-interference-ratio (SINR) at the two legitimate users is over a predefined QoS threshold while limiting the received SINR at the unauthorized user which is under a certain secure threshold. The objective of the optimization problem is to seek the optimal AN and beamforming vectors to minimize the total power consumed by the relay node. Since the optimization problem is nonconvex, we solve it by using semidefinite program (SDP) relaxation. For comparison, we also study the optimal relay beamforming without using AN (BFO) under the same QoS discrimination constraints. Simulation results show that both the proposed BFA and BFO can achieve the QoS discrimination of the two-way transmission. However, the proposed BFA yields significant power savings and lower infeasible rates compared with the BFO method.
    Relation: The Scientific World Journal 2013(2013), 306423(8pages)
    DOI: 10.1155/2013/306423
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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