scholarly journals In-Band Full-Duplex Relaying for SWIPT-Enabled Cognitive Radio Networks

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 835
Author(s):  
Hieu V. Nguyen ◽  
Van-Dinh Nguyen ◽  
Oh-Soon Shin

This paper studies sum rate maximization of a cognitive radio network, where a full-duplex relay (FDR) is considered to assist data transmission. An FDR equipped with multiple transmit/receive antennas is introduced to harvest energy from the radio frequency signal of the primary system to reuse the energy for its own data transmission. By exploiting the time-switching relaying protocol, we first formulate an optimization problem for the sum rate of primary and secondary receivers and then propose a low-complexity algorithm to find the optimal solution. Numerical results verify the effectiveness of the proposed technique for wireless information and power transfer in cognitive radio systems.

2019 ◽  
Vol 63 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Subhashree Mishra ◽  
Santwana Sagnika ◽  
Sudhansu Sekhar Singh ◽  
Bhabani Shankar Prasad Mishra

Cognitive radio systems have taken a fore-running position in the wireless communication technology. With most of the communication taking place through multi-carrier systems, the allocation of available spectrum to various carriers is a prominent issue. Since cognitive systems provide an environment of dynamic spectrum allocation, it becomes necessary to perform dynamic spectrum allocation swiftly with due consideration of parameters, like power consumption, fair distribution and minimal error. This paper considers a Particle Swarm Optimization-based approach, popularly used for solving large problems involving complex solution spaces to reach an optimal solution within feasible time. The mentioned spectrum allocation problem has been solved using PSO with a view to maximize the total transfer rate of the system, within specified constraints of maximum error rate, maximum power consumption and minimum transfer rate per user. The results have been compared with the existing Genetic Algorithm-based approach and have proved to be more effective.


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