scholarly journals Joint Resource Allocation for Wireless Energy Harvesting Enabled Cognitive Sensor Networks

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 22480-22488 ◽  
Author(s):  
Weidang Lu ◽  
Tian Nan ◽  
Yi Gong ◽  
Mei Qin ◽  
Xin Liu ◽  
...  
2020 ◽  
Vol 107 ◽  
pp. 102221 ◽  
Author(s):  
Zhenyu Na ◽  
Xin Wang ◽  
Jingcheng Shi ◽  
Chungang Liu ◽  
Yue Liu ◽  
...  

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3946 ◽  
Author(s):  
Chunling Peng ◽  
Fangwei Li ◽  
Huaping Liu ◽  
Guozhong Wang

A joint resource allocation algorithm to minimize the system outage probability is proposed for a decode-and-forward (DF) two-way relay network with simultaneous wireless information and power transfer (SWIPT) under a total power constraint. In this network, the two sources nodes exchange information with the help of a passive relay, which is assumed to help the two source nodes’ communication without consuming its own energy by exploiting an energy-harvesting protocol, the power splitting (PS) protocol. An optimization framework to jointly optimize power allocation (PA) at the source nodes and PS at the relay is developed. Since the formulated joint optimization problem is non-convex, the solution is developed in two steps. First, the conditionally optimal PS ratio at the relay node for a given PA ratio is explored; then, the closed-form of the optimal PA in the sense of minimizing the system outage probability with instantaneous channel state information (CSI) is derived. Analysis shows that the optimal design depends on the channel condition and the rate threshold. Simulation results are obtained to validate the analytical results. Comparison with three existing schemes shows that the proposed optimized scheme has the minimum system outage probability.


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