Wireless powered hybrid backscatter-active communications with hardware impairments

被引:1
|
作者
Fu, Shuang [1 ]
Jiang, Peng [1 ]
Ding, Chenyang [1 ]
机构
[1] Heilongjiang Bayi Agr Univ, Inst Informat & Elect Engn, Daqing, Peoples R China
关键词
Backscatter communications; Energy harvesting; Active communications; Hardware impairments; SYSTEMS;
D O I
10.1016/j.phycom.2022.101604
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Wireless powered hybrid backscatter-active communication can full make use of the different tradeoff between power consumption and achievable rate of the active and backscatter communications, and thus achieving a better performance than wireless powered active or backscatter communications. In this paper, we design a throughput maximization-based resource allocation scheme for a wireless powered hybrid backscatter-active communication network, while considering the hardware impair-ments at all RF front ends of each transceiver. Towards this end, we formulate a problem by jointly optimizing the transmit power of the dedicated energy source, the time for pure energy harvesting, backscatter and active communications, the power reflection coefficient, and the transmit power of each IoT node during active communications. The formulated problem is non-convex and different to solve. Subsequently an iterative algorithm based on the block coordinated decent technology is proposed to address the above problem. Simulation results verify that our proposed iterative algorithm converges very fast and that the proposed scheme outperforms the baseline schemes in terms of the throughput.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Energy-Efficient Resource Allocation for Wirelessly Powered Backscatter Communications
    Ye, Yinghui
    Shi, Liqin
    Hu, Rose Qingyang
    Lu, Guangyue
    IEEE COMMUNICATIONS LETTERS, 2019, 23 (08) : 1418 - 1422
  • [22] Active STAR-RIS-Assisted Symbiotic Radio Communications Under Hardware Impairments
    Zhou, Chao
    Lyu, Bin
    Gong, Shimin
    You, Changsheng
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (10) : 2797 - 2801
  • [23] Secrecy Performance of Backscatter Communications With Multiple Self-Powered Tags
    Liu, Zhipeng
    Ye, Yinghui
    Chu, Xiaoli
    Sun, Haijian
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (12) : 2875 - 2879
  • [24] Robust Energy Efficiency Optimization for Double-RIS-Assisted Wireless-Powered Backscatter Communications
    Xu, Yongjun
    Bai, Yingxiang
    Jia, Yunjian
    Zhang, Haibo
    Wu, Qingqing
    Yuen, Chau
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2024, 10 (05) : 1718 - 1729
  • [25] Throughput fairness in cognitive backscatter networks with residual hardware impairments and a nonlinear EH model
    Xiaona Gao
    Liqin Shi
    Guangyue Lu
    EURASIP Journal on Wireless Communications and Networking, 2022
  • [26] Throughput fairness in cognitive backscatter networks with residual hardware impairments and a nonlinear EH model
    Gao, Xiaona
    Shi, Liqin
    Lu, Guangyue
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2022, 2022 (01)
  • [27] Throughput Maximization for Wireless-Powered Hybrid Bit-Semantic Communications
    Hadzi-Velkov, Zoran
    Poposka, Marija
    Evgenidis, Nikos G.
    Suraweera, Himal A.
    Karagiannidis, George K.
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2025, 14 (02) : 445 - 449
  • [28] Cooperative Wireless-Powered NOMA Relaying for B5G IoT Networks With Hardware Impairments and Channel Estimation Errors
    Li, Xingwang
    Wang, Qunshu
    Liu, Meng
    Li, Jingjing
    Peng, Hongxing
    Piran, Md Jalil
    Li, Lihua
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (07): : 5453 - 5467
  • [29] Backscatter Radio Communication for Wireless Powered Communication Networks
    Choi, Shin Hyuk
    Kim, Dong In
    2015 21ST ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS (APCC), 2015, : 370 - 374
  • [30] Interference-assisted energy harvesting short packet communications with hardware impairments
    Chen D.
    Li J.
    Hu J.
    Zhang X.
    Zhang S.
    Wang D.
    International Journal of Intelligent Networks, 2024, 5 : 231 - 240