scholarly journals NOMA Enhanced Backscatter Communication for Green IoT Networks

Author(s):  
Shah Zeb ◽  
Qamar Abbas ◽  
Syed Ali Hassan ◽  
Aamir Mahmood ◽  
Rafia Mumtaz ◽  
...  
2020 ◽  
Vol 17 (10) ◽  
pp. 129-141
Author(s):  
Yiwen Nie ◽  
Junhui Zhao ◽  
Jun Liu ◽  
Jing Jiang ◽  
Ruijin Ding

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1481
Author(s):  
Richard Boateng Nti ◽  
Ji-Hoon Yun

WiFi backscatter communication has emerged as a promising enabler of ultralow-power connectivity for Internet of things, wireless sensor network and smart energy. In this paper, we propose a multi-filter design for effective decoding of WiFi backscattered signals. Backscattered signals are relatively weak compared to carrier WiFi signals and therefore require algorithms that filter out original WiFi signals without affecting the backscattered signals. Two multi-filter designs for WiFi backscatter decoding are presented: the summation and delimiter approaches. Both implementations employ the use of additional filters with different window sizes to efficiently cut off undesired noise/interference, thus enhancing frame detection and decoding performance, and can be coupled with a wide range of decoding algorithms. The designs are particularly productive in the frequency-shift WiFi backscatter communication. We demonstrate via prototyping and testbed experiments that the proposed design enhances the performance of various decoding algorithms in real environments.


Symmetry ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 5
Author(s):  
Pengfei Hou ◽  
Jianping Gong ◽  
Jumin Zhao

In this paper, we proposed a scheme that Injects artificial noise from the tag end (IANT) to enhance the physical layer security of the ambient backscatter communication (ABC) system. The difference between the ABC system and the traditional radio frequency identification system is whether it uses the radio frequency (RF) signals in the environment to supply energy and modulation information for passive tags. In the IANT scheme, we select the best tag to communicate with the reader according to the channel quality between tags and reader, and at the same time select another tag to generate artificial noise that affects the receiving effect of the eavesdropper. This paper uses the method of generating noise copies in the reader to reduce the interference of artificial noise on the signal received by the reader. The simulation results show that with the increase in channel quality between tags and reader and the increase in the number of tags, the proposed IANT scheme is significantly superior to the contrast scheme in terms of system achievable secrecy rate, effectively enhancing the physical layer security of the ABC system.


2019 ◽  
Vol 6 (1) ◽  
pp. 765-775 ◽  
Author(s):  
Huayan Guo ◽  
Qianqian Zhang ◽  
Sa Xiao ◽  
Ying-Chang Liang

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 4947-4953 ◽  
Author(s):  
Yang Liu ◽  
Gongpu Wang ◽  
Zhongzhao Dou ◽  
Zhangdui Zhong

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