Ambient Backscatter: A New Approach to Improve Network Performance for RF-Powered Cognitive Radio Networks

2017 ◽  
Vol 65 (9) ◽  
pp. 3659-3674 ◽  
Author(s):  
Dinh Thai Hoang ◽  
Dusit Niyato ◽  
Ping Wang ◽  
Dong In Kim ◽  
Zhu Han
2019 ◽  
Vol 5 (2) ◽  
pp. 413-426 ◽  
Author(s):  
Rajalekshmi Kishore ◽  
Sanjeev Gurugopinath ◽  
Paschalis C. Sofotasios ◽  
Sami Muhaidat ◽  
Naofal Al-Dhahir

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Longteng Xu ◽  
Kun Zhu ◽  
Ran Wang ◽  
Shimin Gong

Integrating ambient backscatter communications into RF-powered cognitive radio networks has been shown to be a promising method for achieving energy and spectrum efficient communications, which is very attractive for low-power or no-power communications. In such scenarios, a secondary user (SU) can operate in either transmission mode or backscatter mode. Specifically, an SU can directly transmit data if sufficient energy has been harvested (i.e., transmission mode). Or an SU can backscatter ambient signals to transmit data (i.e., backscatter mode). In this paper, we investigate the performance of such systems. Specifically, channel inversion power control and an energy store-and-reuse mechanism for secondary users are adopted for efficient use of harvested energy. We apply stochastic geometry to analyze coverage probability and achievable rates for both primary and secondary users considering both communication modes. Analytical tractable expressions are obtained. Extensive simulations are performed and the numerical results show the validity of our analysis. Furthermore, the results indicate that the performance of secondary systems can be improved with the integration of both communication modes with only limited impact on the performance of primary systems.


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