Energy Efficient Resource Allocation for UCA-Based OAM-MIMO System

2021 ◽  
pp. 189-200
Author(s):  
Jie Tang ◽  
Chuting Lin ◽  
Yan Song ◽  
Yu Yu ◽  
Zhen Chen ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Mimo System ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

scholarly journals Energy-Efficient Resource Allocation for Wireless Powered Massive MIMO System With Imperfect CSI

2017 ◽  
Vol 1 (2) ◽  
pp. 121-130 ◽  
Author(s):  
Zheng Chang ◽  
Zhongyu Wang ◽  
Xijuan Guo ◽  
Zhu Han ◽  
Tapani Ristaniemi
Keyword(s):  
Resource Allocation ◽  
Energy Efficient ◽  
Massive Mimo ◽  
Mimo System ◽  
Imperfect Csi ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

scholarly journals Secure Energy-Efficient Resource Allocation Algorithm of Massive MIMO System with SWIPT

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Xiaoxia Yang ◽  
Zhengqiang Wang ◽  
Xiaoyu Wan ◽  
Zifu Fan
Keyword(s):  
Resource Allocation ◽  
Parameter Optimization ◽  
Energy Efficient ◽  
Optimization Problem ◽  
Mimo System ◽  
Power Splitting ◽  
Transmission Power ◽  
Splitting Ratio ◽  
Efficient Resource ◽  
Energy Efficient Resource Allocation

In this paper, we consider the resource allocation problem to maximize the minimum (max–min) user’s secure energy efficiency (SEE) in downlink massive multiple-input multiple-output (MIMO) systems with simultaneous wireless information and power transfer (SWIPT). First, transmission power and power splitting ratio are designed to achieve the max–min user’s SEE subject to harvested energy threshold, the constraints of transmission power, and power splitting ratio. Secondly, the optimization problem is non-convex and very difficult to tackle. In order to solve the optimization problem, we converted to a series of parameter optimization subproblems by fractional programming. Then, we employ the first-order Taylor expansion and successive convex approximation (SCA) method to solve parameter optimization problems. Next, a secure energy-efficient resource allocation (SERA) algorithm with the bisection method is proposed to find the max–min SEE of the system. Finally, simulation results show the effectiveness and superiority of the SERA algorithm.

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