Robust beamforming and power splitting ratio optimization in cognitive downlink multiuser MISO networks

2017 ◽  
Author(s):  
Xueyan Chen ◽  
Li Guo ◽  
Jiaru Lin ◽  
Qian Deng ◽  
Guangqian Chu ◽  
...  
Keyword(s):  
Power Splitting ◽  
Robust Beamforming ◽  
Splitting Ratio ◽  
Ratio Optimization

scholarly journals Joint Robust Beamforming and Power-Splitting Ratio Design in SWIPT-Based Cooperative NOMA Systems With CSI Uncertainty

2019 ◽  
Vol 68 (3) ◽  
pp. 2386-2400 ◽  
Author(s):  
Yi Yuan ◽  
Peng Xu ◽  
Zheng Yang ◽  
Zhiguo Ding ◽  
Qianbin Chen
Keyword(s):  
Power Splitting ◽  
Robust Beamforming ◽  
Splitting Ratio

Robust beamforming and power splitting design in MISO SWIPT downlink system

2016 ◽  
Vol 10 (6) ◽  
pp. 691-698 ◽  
Author(s):  
Zheng Chu ◽  
Weichen Xiang ◽  
Zhengyu Zhu ◽  
Jamal Hussein
Keyword(s):  
Power Splitting ◽  
Robust Beamforming ◽  
Downlink System

scholarly journals Harvested Energy Maximization of SWIPT System with Popularity Cache Scheme in Dense Small Cell Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Xuefei Peng ◽  
Jiandong Li
Keyword(s):  
Small Cell ◽  
Base Stations ◽  
Maximization Problem ◽  
Power Splitting ◽  
Small Cell Networks ◽  
Splitting Ratio ◽  
Energy Maximization ◽  
Cache Scheme ◽  
Cell Networks

In this paper, we propose a harvested energy maximization problem of simultaneous wireless information and power transfer (SWIPT) system with popularity cache scheme in dense small cell networks. Firstly, network model, content request, and popularity cache schemes are provided in the system model. Then, we establish a harvested energy maximization problem of SWIPT system with popularity cache scheme in dense small cell networks, where maximum transmit power of small cell base stations (SBSs), minimum rate requirement, i.e., quality of service (QoS) of user terminals (UTs), and power splitting ratio are considered. Further, an iterative power splitting ratio and power allocation optimization (IPSPA) algorithm is proposed to solve the formulated problem. Finally, the better performance of our proposed method is demonstrated through a number of simulations. These results are of significance for maximizing harvesting energy of UTs and reducing consumption of backhaul resources and energy.

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