scholarly journals Optimal Power Allocation of Relay Sensor Node Capable of Energy Harvesting in Cooperative Cognitive Radio Network

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 648 ◽  
Author(s):  
Pham Son ◽  
Dongsoo Har ◽  
Nam Cho ◽  
Hyung Kong
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Sensor Node ◽  
Cognitive Radio Network ◽  
Optimal Power Allocation ◽  
Radio Network ◽  
Optimal Power

scholarly journals Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid

Energies ◽  
2017 ◽  
Vol 10 (7) ◽  
pp. 909 ◽  
Author(s):  
Kai Ma ◽  
Xuemei Liu ◽  
Jie Yang ◽  
Zhixin Liu ◽  
Yazhou Yuan
Keyword(s):  
Cognitive Radio ◽  
Smart Grid ◽  
Power Allocation ◽  
Cognitive Radio Network ◽  
Optimal Power Allocation ◽  
Radio Network ◽  
Optimal Power

scholarly journals Throughput maximization-based optimal power allocation for energy-harvesting cognitive radio networks with multiusers

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Yuanyi Wang ◽  
Xiaohui Zhao ◽  
Hui Liang
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Throughput Maximization ◽  
Time Interval ◽  
Optimal Power Allocation ◽  
Optimal Power

AbstractAn optimal power allocation (OPA) policy for orthogonal frequency division multiplexing (OFDM)-based cognitive radio networks (CRNs) using underlay spectrum access model is presented under multiple secondary users (SUs) with energy harvesting (EH). The proposed algorithm can allocate transmission power to each SU on each subcarrier with the objective of maximizing the average throughput of secondary network over a finite time interval. We consider both the interference power constraint limited by primary user (PU) and the minimum throughput constraint of each SU to improve the throughput of SUs while guaranteeing the communication quality of PU. To balance current throughput and expected future throughput, a dynamic programming (DP) problem is defined and solved by the backward induction method. Moreover, for each time slot, a convex immediate optimization is presented to obtain an optimal solution, which can be solved by the Lagrange dual method. Simulation results show that our policy can achieve better performance than some traditional policies and ensure good quality of service (QoS) of PU when SUs access the spectrum.

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