scholarly journals Energy Efficient Design for Two-Way AF Relay Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Yong Li ◽  
Zhengguang Zheng ◽  
Mingyue Zhao ◽  
Yunli Chen ◽  
Chuanyong Liu
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
Relay Node ◽  
Relay Networks ◽  
Efficient Design ◽  
Amplify And Forward ◽  
Iterative Search ◽  
Suboptimal Solution ◽  
Af Relay ◽  
Efficient Power

Conventional designs on two-way relay networks mainly focus on the spectral efficiency (SE) rather than energy efficiency (EE). In this paper, we consider a system where two source nodes communicate with each other via an amplify-and-forward (AF) relay node and study the power allocation schemes to maximize EE while ensuring a certain data rate. We propose an optimal energy-efficient power allocation algorithm based on iterative search technique. In addition, a closed-form suboptimal solution is derived with reduced complexity and negligible performance degradation. Numerical results show that the proposed schemes can achieve considerable EE improvement compared with conventional designs.

scholarly journals Energy Efficient Design for OFDM-Based Underlay Cognitive Radio Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yunli Chen ◽  
Zhengguang Zheng ◽  
Yibin Hou ◽  
Yong Li
Keyword(s):  
Cognitive Radio ◽  
Power Allocation ◽  
Energy Efficient ◽  
Optimal Solution ◽  
Interference Avoidance ◽  
Efficient Design ◽  
Green Radio ◽  
New Energy ◽  
Underlay Cognitive Radio ◽  
Efficient Power

Conventional designs on OFDM-based underlay cognitive radio (CR) networks mainly focus on interference avoidance and spectral efficiency (SE) improvement. As green radio becomes increasingly important, this paper investigates energy efficient power allocation. Our aim is to maximize energy efficiency (EE), subject to the constraints on the total transmit power, the peak interference power, and the minimum data rate requirement. We first analyze the relationship between SE and EE and solve this optimization problem with the help of bisection search technique. However, the accuracy of the power allocation solution is dependent on the number of iterations. In order to achieve the exact optimal solution, a new energy efficient power allocation scheme is proposed to balance the tradeoff between SE and EE. Simulation results are provided to demonstrate the effectiveness of the proposed schemes.

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