Research on Optimal Power Allocation with SDF and Distributed STBC in Multi-Hop Cooperative MIMO Network

2010 ◽  
Vol 20-23 ◽  
pp. 271-276
Author(s):  
Xiao Rong Xu ◽  
Bao Yu Zheng ◽  
Jian Wu Zhang
Keyword(s):  
Power Allocation ◽  
Cooperative Diversity ◽  
Symbol Error Rate ◽  
Performance Comparison ◽  
Optimal Power Allocation ◽  
Allocation Scheme ◽  
Decode And Forward ◽  
Cooperative Mimo ◽  
Optimal Power ◽  
Simulation Results

Multi-hop cooperative MIMO network that consists of multiple nodes each equipped with single antenna is introduced and investigated. Optimal power allocation scheme with selective decode-and-forward (SDF) cooperative strategy is formulated and solved by means of optimization method with the purpose of minimization of system’s symbol error rate (SER), which are derived and analyzed with numerical results presented. Distributed space-time block Code (DSTBC) in multi-hop cooperative MIMO is analyzed and compared with optimal power allocation scheme with SDF strategy. Simulation results reveal that, cooperative diversity could be achieved with optimal power allocation. Optimum power allocation scheme depends on the relay’s position and channel quality between source to relay and relay to destination. Novel performance comparison between optimal power allocation and DSTBC are researched and presented. Simulation results confirm our theoretical analysis, which indicates that multi-node DSTBC outperforms optimal power allocation scheme due to the fact that cooperative diversity gain and coded gain could be obtained simultaneously for DSTBC in multi-hop cooperative MIMO network.

scholarly journals The Optimal Power Allocation with Hybrid Relaying Based on Channel Condition

2018 ◽  
Author(s):  
Junpyo Jeon ◽  
Yeonggyu Shim ◽  
Hyuncheol Park
Keyword(s):  
Power Allocation ◽  
Relay Network ◽  
Achievable Rate ◽  
Optimal Power Allocation ◽  
Allocation Scheme ◽  
Amplify And Forward ◽  
Decode And Forward ◽  
Transmit Power ◽  
Optimal Power ◽  
Af Relay

This paper considers a hybrid relay network consisting of the source, the amplify-and-forward (AF) relay, the decode-and-forward (DF) relay, and the destination. We propose the optimal power allocation schemes between two different relays which maximize the achievable rate under a sum relay power constraint for given channel gains and transmit power from source. By solving the optimization problem to maximize the achievable rate for each relay network, the transmit power values in closed-form are derived. When the channel gains are the same, the optimal power allocation scheme for AF-DF relay network proves that a more power should be allocated at the first relay to maximize the achievable rate. In case of the DF-AF relay network, we derive the optimal power allocation scheme for the possible four cases. Under the same SNR condition at the first hop, we show that the achievable rate of AF-DF relay network is greater than that of DF-AF relay network when the channel gain between two relays is higher than that between the second relay and destination. Simulation results show that the proposed power allocation schemes provide a higher achievable rate than the equal power allocation schemes.

scholarly journals Pairwise Error Probability Performance of SM-MIMO and Spatially Modulated Cooperative Communication Employing SDF Protocol

2019 ◽  
Vol 8 (6) ◽  
pp. 4755-4761
Keyword(s):  
Power Allocation ◽  
Error Probability ◽  
Mimo System ◽  
Optimal Detection ◽  
Optimal Power Allocation ◽  
Cooperative System ◽  
Decode And Forward ◽  
Pairwise Error Probability ◽  
Optimal Power ◽  
Simulation Results

In this paper, we analyze the performance of spatially modulated (SM) multiple input multiple output (MIMO) system and spatially modulated MIMO cooperative system with multiple relays employing selective decode and forward (SDF) protocol. Here the analysis is done for pre-determined orthogonal channel for SM MIMO and SM MIMO cooperative system using M-PSK modulation and ML detection. Firstly Pairwise error probability (PEP) expression is derived and optimal, sub-optimal detection is done in a spatially modulated MIMO system. Further, the analysis of SDF spatially modulated MIMO cooperative system is extended to single relay and multiple relay configurations. PEP expression is also derived for SDF spatially modulated MIMO cooperative system. Simulation results for the SM MIMO system show optimal detection performs better than suboptimal detection and system performance improves as the number of antenna increases. The simulation results of PEP analysis in the SM MIMO cooperative system include the theoretical PEP, exact PEP and asymptotic PEP and Optimal power allocation (OPA) is also derived for the same. Optimal power allocation for theoretical PEP, exact PEP and asymptotic PEP outperforms the same at equal power allocation

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 An Optimal Power Allocation Scheme of Microgrid Using Grey Wolf Optimizer

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 137608-137619 ◽  
Author(s):  
Jiancheng Zhang ◽  
Xinsheng Wang ◽  
Lingyu Ma
Keyword(s):  
Power Allocation ◽  
Grey Wolf Optimizer ◽  
Optimal Power Allocation ◽  
Grey Wolf ◽  
Allocation Scheme ◽  
Optimal Power
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