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Volume 46 Issue 3
Mar.  2024
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ZHANG Xiaoxi, XU Yongjun, WU Cuixian, HUANG Chongwen. Beamforming Design for Reconfigurable Intelligent Surface Enhanced Full-duplex Ambient Backscatter Communication Networks[J]. Journal of Electronics & Information Technology, 2024, 46(3): 914-924. doi: 10.11999/JEIT230356
Citation: ZHANG Xiaoxi, XU Yongjun, WU Cuixian, HUANG Chongwen. Beamforming Design for Reconfigurable Intelligent Surface Enhanced Full-duplex Ambient Backscatter Communication Networks[J]. Journal of Electronics & Information Technology, 2024, 46(3): 914-924. doi: 10.11999/JEIT230356

Beamforming Design for Reconfigurable Intelligent Surface Enhanced Full-duplex Ambient Backscatter Communication Networks

doi: 10.11999/JEIT230356
Funds:  The National Natural Science Foundation of China (62271094), Natural Science Foundation of Chongqing (CSTB2022NSCQ-LZX0009), The Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJZD-K202200601), The Open Project of Zhejiang Provincial Key Laboratory of Information Processing and Communication Networking (IPCAN-2302)
  • Received Date: 2023-05-04
  • Rev Recd Date: 2023-07-12
  • Available Online: 2023-07-17
  • Publish Date: 2024-03-27
  • Current conventional ambient backscatter communication suffers from double fading, obstacle blockage, and limited network capacity. Reconfigurable Intelligent Surface (RIS) as a key candidate technology of 6G has been concerned due to the improvement of signal transmission quality and the enhancement of the transmission performance of communication systems. Based on the above advantages, RIS and full-duplex techniques are introduced into the ambient backscatter communication system, and the beamforming algorithm is designed in an RIS-enhanced full-duplex ambient backscatter communication network with hardware impairments and discrete phase-shift constraints. Firstly, a beamforming optimization problem is formulated to minimize the total transmit power by considering the minimum harvested energy and the quality-of-service constraint of the backscatter nodes, the maximum transmit power constraint of the power station, and the phase shift constraint of the RIS. Then, the original non-convex problem is transformed into a tractable convex optimization problem by using alternating optimization methods, semi-definite relaxation methods, variable substitution, and semi-definite programming. Finally, simulation results show that the proposed algorithm decreases the average power consumption by 7.8% compared to the conventional beamforming method.
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  • [1]
    MA Dong, LAN Guohao, HASSAN M, et al. Sensing, computing, and communications for energy harvesting IoTs: A survey[J]. IEEE Communications Surveys & Tutorials, 2020, 22(2): 1222–1250. doi: 10.1109/COMST.2019.2962526.
    [2]
    LI Xingwang, WANG Qunshu, ZENG Ming, et al. Physical-layer authentication for ambient backscatter-aided NOMA symbiotic systems[J]. IEEE Transactions on Communications, 2023, 71(4): 2288–2303. doi: 10.1109/TCOMM.2023.3245659.
    [3]
    XU Yongjun, GUI Guan, GACANIN H, et al. A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges[J]. IEEE Communications Surveys & Tutorials, 2021, 23(2): 668–695. doi: 10.1109/COMST.2021.3059896.
    [4]
    LI Xingwang, ZHENG Yike, KHAN W U, et al. Physical layer security of cognitive ambient backscatter communications for green Internet-of-Things[J]. IEEE Transactions on Green Communications and Networking, 2021, 5(3): 1066–1076. doi: 10.1109/TGCN.2021.3062060.
    [5]
    XU Yongjun, XIE Hao, WU Qingqing, et al. Robust max-min energy efficiency for RIS-aided HetNets with distortion noises[J]. IEEE Transactions on Communications, 2022, 70(2): 1457–1471. doi: 10.1109/TCOMM.2022.3141798.
    [6]
    徐勇军, 刘子腱, 李国权, 等. 基于NOMA的无线携能D2D通信鲁棒能效优化算法[J]. 电子与信息学报, 2021, 43(5): 1289–1297. doi: 10.11999/JEIT200175.

    XU Yongjun, LIU Zijian, LI Guoquan, et al. Robust energy efficiency optimization algorithm for NOMA-based D2D communication with simultaneous wireless information and power transfer[J]. Journal of Electronics &Information Technology, 2021, 43(5): 1289–1297. doi: 10.11999/JEIT200175.
    [7]
    张晓茜, 徐勇军. 面向零功耗物联网的反向散射通信综述[J]. 通信学报, 2022, 43(11): 199–212. doi: 10.11959/j.issn.1000-436x.2022199.

    ZHANG Xiaoxi and XU Yongjun. Survey on backscatter communication for zero-power IoT[J]. Journal on Communications, 2022, 43(11): 199–212. doi: 10.11959/j.issn.1000-436x.2022199.
    [8]
    CHEN Yunfei. Performance of ambient backscatter systems using reconfigurable intelligent surface[J]. IEEE Communications Letters, 2021, 25(8): 2536–2539. doi: 10.1109/LCOMM.2021.3083110.
    [9]
    MA Hui, ZHANG Haijun, ZHANG Ning, et al. Reconfigurable intelligent surface with energy harvesting assisted cooperative ambient backscatter communications[J]. IEEE Wireless Communications Letters, 2022, 11(6): 1283–1287. doi: 10.1109/LWC.2022.3164257.
    [10]
    GALAPPATHTHIGE D L, REZAEI F, TELLAMBURA C, et al. RIS-empowered ambient backscatter communication systems[J]. IEEE Wireless Communications Letters, 2023, 12(1): 173–177. doi: 10.1109/LWC.2022.3220158.
    [11]
    CHEN Hao, YANG Gang, and LIANG Yingchang. Joint active and passive beamforming for reconfigurable intelligent surface enhanced symbiotic radio system[J]. IEEE Wireless Communications Letters, 2021, 10(5): 1056–1060. doi: 10.1109/LWC.2021.3056874.
    [12]
    HU Jinlin, LIANG Yingchang, and PEI Yiyang. Reconfigurable intelligent surface enhanced multi-user MISO symbiotic radio system[J]. IEEE Transactions on Communications, 2021, 69(4): 2359–2371. doi: 10.1109/TCOMM.2020.3047444.
    [13]
    ZUO Jiakuo, LIU Yuanwei, YANG Liang, et al. Reconfigurable intelligent surface enhanced NOMA assisted backscatter communication system[J]. IEEE Transactions on Vehicular Technology, 2021, 70(7): 7261–7266. doi: 10.1109/TVT.2021.3087582.
    [14]
    LIU Qiang, FU Meixia, LI Wei, et al. RIS-assisted ambient backscatter communication for SAGIN IoT[J]. IEEE Internet of Things Journal, 2023, 10(11): 9375–9384. doi: 10.1109/JIOT.2022.3224587.
    [15]
    RAMEZANI P and JAMALIPOUR A. Backscatter-assisted wireless powered communication networks empowered by intelligent reflecting surface[J]. IEEE Transactions on Vehicular Technology, 2021, 70(11): 11908–11922. doi: 10.1109/TVT.2021.3116708.
    [16]
    MAO Sun, YANG Kun, HU Jie, et al. Intelligent reflecting surface-aided wireless powered hybrid backscatter-active communication networks[J]. IEEE Transactions on Vehicular Technology, 2023, 72(1): 1383–1388. doi: 10.1109/TVT.2022.3205950.
    [17]
    WANG Jinming, XU Sai, HAN Shuai, et al. Multicast secrecy rate maximization for reconfigurable intelligent surface backscatter communication[J]. IEEE Communications Letters, 2022, 26(12): 2855–2859. doi: 10.1109/LCOMM.2022.3208018.
    [18]
    LI Xingwang, ZHENG Yike, ZENG Ming, et al. Enhancing secrecy performance for STAR-RIS NOMA networks[J]. IEEE Transactions on Vehicular Technology, 2023, 72(2): 2684–2688. doi: 10.1109/TVT.2022.3213334.
    [19]
    WANG Xinyi, FEI Zesong, and WU Qingqing. Integrated sensing and communication for RIS assisted backscatter systems[J]. IEEE Internet of Things Journal, 2023.
    [20]
    SHAIKH M H N, BOHARA V A, SRIVASTAVA A, et al. A downlink RIS-aided NOMA system with hardware impairments: Performance characterization and analysis[J]. IEEE Open Journal of Signal Processing, 2022, 3: 288–305. doi: 10.1109/OJSP.2022.3194416.
    [21]
    YE Yinghui, SHI Liqin, CHU Xiaoli, et al. Mutualistic cooperative ambient backscatter communications under hardware impairments[J]. IEEE Transactions on Communications, 2022, 70(11): 7656–7668. doi: 10.1109/TCOMM.2022.3201119.
    [22]
    XING Zhe, WANG Rui, WU Jun, et al. Achievable rate analysis and phase shift optimization on intelligent reflecting surface with hardware impairments[J]. IEEE Transactions on Wireless Communications, 2021, 20(9): 5514–5530. doi: 10.1109/TWC.2021.3068225.
    [23]
    XU Yongjun, XIE Hao, LI Dong, et al. Energy-efficient beamforming for heterogeneous industrial IoT networks with phase and distortion noises[J]. IEEE Transactions on Industrial Informatics, 2022, 18(11): 7423–7434. doi: 10.1109/TII.2022.3158612.
    [24]
    ZHOU Hu, KANG Xin, LIANG Yingchang, et al. Cooperative beamforming for reconfigurable intelligent surface-assisted symbiotic radios[J]. IEEE Transactions on Vehicular Technology, 2022, 71(11): 11677–11692. doi: 10.1109/TVT.2022.3190515.
    [25]
    ZHOU Gui, PAN Cunhua, REN Hong, et al. A framework of robust transmission design for IRS-aided MISO communications with imperfect cascaded channels[J]. IEEE Transactions on Signal Processing, 2020, 68: 5092–5106. doi: 10.1109/TSP.2020.3019666.
    [26]
    BEN-TAL A and NEMIROVSKIAEI A S. Lectures on modern convex optimization: Analysis, algorithms, and engineering applications[M]. Philadelphia, USA: SIAM, 2001: 436-437. doi: 10.1137/1.9780898718829.
    [27]
    ZOU Yuze, XU Jing, GONG Shimin, et al. Backscatter-aided hybrid data offloading for wireless powered edge sensor networks[C]. 2019 IEEE Global Communications Conference, Waikoloa, USA, 2019: 1–6.
    [28]
    LONG Ruizhe, GUO Huayan, and LIANG Yingchang. Symbiotic radio with full-duplex backscatter devices[C]. 2019 IEEE International Conference on Communications, Shanghai, China, 2019: 1–6.
    [29]
    JIA Xiaolun, ZHOU Xiangyun, NIYATO D, et al. Intelligent reflecting surface-assisted bistatic backscatter networks: Joint beamforming and reflection design[J]. IEEE Transactions on Green Communications and Networking, 2022, 6(2): 799–814. doi: 10.1109/TGCN.2021.3127190.
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