Constrained pattern extension algorithm based peak power reduction techniques for MIMO-OFDM applications

2019 ◽  
Vol 148 ◽  
pp. 42-47 ◽  
Author(s):  
B. Ramesh ◽  
J. Senthilkumar ◽  
Y. Suresh ◽  
V. Mohanraj
Keyword(s):  
Peak Power ◽  
Power Reduction ◽  
Reduction Techniques ◽  
Peak Power Reduction ◽  
Mimo Ofdm

scholarly journals Energy-Efficiency Analysis of Per-Subcarrier Antenna Selection with Peak-Power Reduction in MIMO-OFDM Wireless Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Ngoc Phuc Le ◽  
Le Chung Tran ◽  
Farzad Safaei
Keyword(s):  
Energy Efficiency ◽  
Power Efficiency ◽  
Peak Power ◽  
Antenna Selection ◽  
Average Power ◽  
Wireless Systems ◽  
Power Reduction ◽  
Cumulative Distribution ◽  
Peak Power Reduction ◽  
Mimo Ofdm

The use of per-subcarrier antenna subset selection in OFDM wireless systems offers higher system capacity and/or improved link reliability. However, the implementation of the conventional per-subcarrier selection scheme may result in significant fluctuations of the average power and peak power across antennas, which affects the potential benefits of the system. In this paper, power efficiency of high-power amplifiers and energy efficiency in per-subcarrier antenna selection MIMO-OFDM systems are investigated. To deliver the maximum overall power efficiency, we propose a two-step strategy for data-subcarrier allocation. This strategy consists of an equal allocation of data subcarriers based on linear optimization and peak-power reduction via cross-antenna permutations. For analysis, we derive the CCDF (complementary cumulative distribution function) of the power efficiency as well as the analytical expressions of the average power efficiency. It is proved from the power-efficiency perspective that the proposed allocation scheme outperforms the conventional scheme. We also show that the improvement in the power efficiency translates into an improved capacity and, in turn, increases energy efficiency of the proposed system. Simulation results are provided to validate our analyses.

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