Optimal Power Allocation of DOT Relay System with Fixed Branch Receiver

2012 ◽  
Vol 12 (2) ◽  
pp. 215-220 ◽  
Author(s):  
Hwi-Jin Hwang ◽  
Nam-Soo Kim
Keyword(s):  
Power Allocation ◽  
Optimal Power Allocation ◽  
Relay System ◽  
Optimal Power

An Optimal Power Allocation for the Two-Way Relay System Using Physical-Layer Network Coding

2014 ◽  
Vol 986-987 ◽  
pp. 2041-2047
Author(s):  
Ren Gang Yuan ◽  
Li Li Chu ◽  
Chuang Li ◽  
Ling Li Cao
Keyword(s):  
Power Allocation ◽  
Network Coding ◽  
Physical Layer ◽  
Optimal Power Allocation ◽  
Relay Channel ◽  
Allocation Scheme ◽  
Relay System ◽  
Physical Layer Network Coding ◽  
Optimal Power ◽  
Sum Rate

In this letter, an optimal power allocation in the two-way relay channel of four transmission nodes employing the physical-layer network coding (PNC) protocol is proposed to improve the network sum-rate of the two-way relay system. The optimal power allocation is obtained by maximizing the network sum-rate of the PNC protocol under a sum-power constraint in a Rayleigh fading channel environment. Analytical and simulation results show that the proposed power allocation can improve the network sum-rate. Furthermore, compared with the equal power allocation scheme, the proposed power allocation scheme can achieve much higher network sum-rate performance.

scholarly journals Closed-Form Expression for the Symbol Error Probability in Full-Duplex Spatial Modulation Relay System and Its Application in Optimal Power Allocation

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5390 ◽  
Author(s):  
Le Van Nguyen ◽  
Ba Cao Nguyen ◽  
Xuan Nam Tran ◽  
Le The Dung
Keyword(s):  
Power Allocation ◽  
Error Probability ◽  
Spatial Modulation ◽  
Full Duplex ◽  
Closed Form Expression ◽  
Optimal Power Allocation ◽  
Symbol Error Probability ◽  
Form Expression ◽  
Relay System ◽  
Optimal Power

Full-duplex (FD) communication and spatial modulation (SM) are two promising techniques to achieve high spectral efficiency. Recent works in the literature have investigated the possibility of combining the FD mode with SM in the relay system to benefit their advantages. In this paper, we analyze the performance of the FD-SM decode-and-forward (DF) relay system and derive the closed-form expression for the symbol error probability (SEP). To tackle the residual self-interference (RSI) due to the FD mode at the relay, we propose a simple yet effective power allocation algorithm to compensate for the RSI impact and improve the system SEP performance. Both numerical and simulation results confirm the accuracy of the derived SEP expression and the efficacy of the proposed optimal power allocation.

Optimal power allocation for NOMA-enabled D2D communication with imperfect SIC decoding

2021 ◽  
Vol 46 ◽  
pp. 101296
Author(s):  
Shanshan Yu ◽  
Wali Ullah Khan ◽  
Xiaoqing Zhang ◽  
Ju Liu
Keyword(s):  
Power Allocation ◽  
D2d Communication ◽  
Optimal Power Allocation ◽  
Optimal Power

scholarly journals User Clustering and Power Allocation for Energy Efficiency Maximization in Downlink Non-Orthogonal Multiple Access Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 716
Author(s):  
Ruibiao Chen ◽  
Fangxing Shu ◽  
Kai Lei ◽  
Jianping Wang ◽  
Liangjie Zhang
Keyword(s):  
Energy Efficiency ◽  
Power Allocation ◽  
Multiple Access ◽  
Spectrum Efficiency ◽  
Lagrangian Multiplier ◽  
Efficiency Gain ◽  
Optimal Power Allocation ◽  
Optimal Power ◽  
User Clustering ◽  
Cluster Dynamic

Non-orthogonal multiple access (NOMA) has been considered a promising technique for the fifth generation (5G) mobile communication networks because of its high spectrum efficiency. In NOMA, by using successive interference cancellation (SIC) techniques at the receivers, multiple users with different channel gain can be multiplexed together in the same subchannel for concurrent transmission in the same spectrum. The simultaneously multiple transmission achieves high system throughput in NOMA. However, it also leads to more energy consumption, limiting its application in many energy-constrained scenarios. As a result, the enhancement of energy efficiency becomes a critical issue in NOMA systems. This paper focuses on efficient user clustering strategy and power allocation design of downlink NOMA systems. The energy efficiency maximization of downlink NOMA systems is formulated as an NP-hard optimization problem under maximum transmission power, minimum data transmission rate requirement, and SIC requirement. For the approximate solution with much lower complexity, we first exploit a quick suboptimal clustering method to assign each user to a subchannel. Given the user clustering result, the optimal power allocation problem is solved in two steps. By employing the Lagrangian multiplier method with Karush–Kuhn–Tucker optimality conditions, the optimal power allocation is calculated for each subchannel. In addition, then, an inter-cluster dynamic programming model is further developed to achieve the overall maximum energy efficiency. The theoretical analysis and simulations show that the proposed schemes achieve a significant energy efficiency gain compared with existing methods.

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