Robust Beamforming and Time Allocation for Full-Duplex Wireless-Powered Communication Networks

2019 ◽  
Vol 23 (9) ◽  
pp. 1665-1669
Author(s):  
Jai-Hoon Lee ◽  
Yong-Ho Cho ◽  
Dong-Jo Park ◽  
Dong Eui Chang
2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Yongbo Cheng ◽  
Pengcheng Fu ◽  
Yuchao Chang ◽  
Baoqing Li ◽  
Xiaobing Yuan

We consider a full-duplex wireless powered communication network (WPCN) with one hybrid access point (H-AP) and a set of distributed users, where downlink wireless energy broadcasting is employed at H-AP and at the same time, uplink wireless information transmission takes place at users in a time-division multiple access manner. We extend proportional fair scheduler to this category of network when dealing with "doubly near-far problem," where users far away from H-AP achieve low throughput but suffer from both low harvested energy and high data transmission power consumption. We jointly optimize power and time allocation for each user to achieve proportional fairness while controlling the energy consumption offset for network to a low level. By using optimization techniques, the optimal transmit power and transmission time for users are obtained via proposed algorithm. Simulation results confirm the positive effect on improving the fairness metric and reducing energy consumption offset for network.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Rui Jiang ◽  
Meihua Liu ◽  
Xiaoming Wang ◽  
Youyun Xu

In this paper, we introduce a full-duplex backscatter-assisted wireless powered communication network (FDBA-WPCN) with a full-duplex access point (FAP) and multiple energy harvesting wireless devices (WDs). The communication mode is a combination of backscatter communication (BC) and harvest-then-transmit (HTT). The entire time period of network is divided into energy harvesting/backscattering (EHB) period and information transmission (IT) period. In the EHB period, each WD either reflects information to the FAP by backscatter or harvests energy to prepare for the IT period. In the IT period, the WDs use their harvested energy to transmit information to FAP in time division multiple access (TDMA). However, under the setting, WDs with different distances from FAP will encounter unfairness in throughput due to the round-trip path loss in backscatter and the doubly near-far problem in HTT. To overcome the drawback, an optimization problem is considered to maximize the sum throughput under the condition of ensuring throughput fairness. By using convex optimization techniques, we obtain the optimal time allocation and the maximum same throughput of each WD. Comparing to the other two benchmark schemes, the simulation results prove the superiority of our proposed method.


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