Spectrally Efficient Backscatter Systems: A Hardware-Oriented Survey

被引:0
|
作者
Alhassoun, Mohammad [1 ,2 ]
机构
[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Ctr Commun Syst & Sensing, Dhahran 31261, Saudi Arabia
关键词
Backscatter; Modulation; Protocols; Signal to noise ratio; Radiofrequency identification; Amplitude shift keying; Quadrature amplitude modulation; ASK; backscatter communications; PSK; pulse shaping; QAM; RFID; single sideband modulation; MODULATOR; COMMUNICATION; UPLINK; ENERGY;
D O I
10.1109/ACCESS.2023.3237941
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The growing interest in backscatter communications as a low-powered solution in various fields necessitates pushing the envelope of current backscatter systems in multiple frontiers, among which is spectral efficiency. The increase in spectral efficiency can drive real-time applications such as augmented reality. In most of backscatter-system applications such as radio-frequency identification, backscatter modulation is implemented using binary schemes realized with square pulses, which are not spectral efficient. To address the spectral efficiency concern, this article reviews-with a scope limited to prototyped systems-some of the existing works in the literature that pertain to increasing the spectral efficiency of backscatter systems. The prototyped systems can be grouped-based on the implementation technique used-into three groups: High-order modulation, single-sideband modulation, and pulse shaping. Based on the current trends and studied literature, the article concludes with discussions on some future directions and open-ended research problems such as optimal pulse shaping, the use of artificial intelligence, multi-carrier modulation, and agile modulation; which are all aim for overcoming the spectral-efficiency limit of contemporary backscatter systems.
引用
收藏
页码:8332 / 8344
页数:13
相关论文
共 50 条
  • [31] A hardware-oriented method for evaluating complex polynomials
    Ercegovac, Milos D.
    Muller, Jean-Michel
    2007 IEEE INTERNATIONAL CONFERENCE ON APPLICATION-SPECIFIC SYSTEMS, ARCHITECTURES, AND PROCESSORS, 2007, : 122 - +
  • [32] A hardware-oriented histogram of oriented gradients algorithm and its VLSI implementation
    Zhang, Xiangyu
    An, Fengwei
    Nakashima, Ikki
    Luo, Aiwen
    Chen, Lei
    Ishii, Idaku
    Mattausch, Hans Juergen
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2017, 56 (04)
  • [33] Hardware-oriented Low Complexity Motion Estimation for HEVC
    Ito, Yoshiki
    Song, Tian
    Shi, Wen
    Katayama, Takafumi
    Shimamoto, Takashi
    2018 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2018,
  • [34] A Hardware-Oriented Echo State Network for FPGA Implementation
    Honda, Kentaro
    Tamukoh, Hakaru
    PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB2020), 2020, : 187 - 190
  • [35] FPGA Implementation of Hardware-Oriented Chaotic Boltzmann Machines
    Kawashima, Ichiro
    Morie, Takashi
    Tamukoh, Hakaru
    IEEE ACCESS, 2020, 8 : 204360 - 204377
  • [36] A fast hardware-oriented algorithm for cellular mobiles positioning
    Salamah, M
    Doukhnitch, E
    Devrim, D
    COMPUTER AND INFORMATION SCIENCES - ISCIS 2004, PROCEEDINGS, 2004, 3280 : 267 - 277
  • [37] An Efficient Hardware-Oriented Runtime Approach for Stack-based Software Buffer Overflow Attacks
    Sah, Love Kumar
    Islam, Sheikh Ariful
    Katkoori, Srinivas
    PROCEEDINGS OF THE 2018 ASIAN HARDWARE ORIENTED SECURITY AND TRUST SYMPOSIUM (ASIANHOST), 2018, : 1 - 6
  • [38] Simple hardware-oriented algorithms for cellular mobiles positioning
    Najiminaini, M.
    Doukhnitch, E.
    Salamah, M.
    2007 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE SERVICES, 2007, : 157 - 160
  • [39] Performance Evaluation of Hardware-Oriented Seam Carving Algorithm
    Kohata, Yasuhide
    Desaki, Yoshihisa
    2014 IEEE 3RD GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), 2014, : 315 - 316
  • [40] A Hardware-oriented Learning Algorithm for a Digital Spiking Neuron
    Torikai, Hiroyuki
    Hashimoto, Sho
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 2472 - 2479