scholarly journals Optimal Design for Energy-Efficient Per-Subcarrier Antenna Selection MIMO–OFDM Wireless Systems

2015 ◽  
Vol 84 (4) ◽  
pp. 3001-3014 ◽  
Author(s):  
Ngoc Phuc Le ◽  
Le Chung Tran ◽  
Farzad Safaei
Keyword(s):  
Optimal Design ◽  
Energy Efficient ◽  
Antenna Selection ◽  
Wireless Systems ◽  
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.

scholarly journals Performance Analysis of Antenna Selection Techniques in MIMO-OFDM System with Hardware Impairments: Energy Efficiency perspective

2018 ◽  
Vol 8 (4) ◽  
pp. 2272
Author(s):  
Anuj Singal ◽  
Deepak Kedia
Keyword(s):  
Energy Efficiency ◽  
Performance Analysis ◽  
Energy Efficient ◽  
Antenna Selection ◽  
Quantization Noise ◽  
Ofdm System ◽  
Selection Scheme ◽  
Selection Technique ◽  
Hardware Impairments ◽  
Mimo Ofdm

<p>In this paper we propose a new MIMO-OFDM model in which we consider various antenna selection techniques like Bulk selection and Per-subcarrier selection etc. with hardware impairments such as non-linearties of amplifiers, quantization noise, phase noise and I-Q imbalance etc. As we know that the transceiver hardware impairments limit the channel capacity and the energy efficiency of MIMO-OFDM system, so we can not neglect the fundamental impacts of these hardware impairments {Kappa  (0.05 0.1)} on the energy efficiency in the high SNR domain. Therefore we analyze the Energy Efficiency of Bulk and Per-subcarrier antenna selection techniques with or without hardware impairments. It has been observed that the energy efficiency decreases as the value of these hardware impairments increases. As we compared the Bulk antenna selection with the Per-subcarrier antenna selection scheme, the Per-subcarrier antenna selection requires more number of RF (radio frequency) chains and transmits power in comparison to the Bulk selection. Due to this, the Bulk antenna selection technique is more energy efficient than Per-subcarrier antenna selection.</p>

scholarly journals A Low-Complexity Receive-Antenna-Selection Algorithm for MIMO–OFDM Wireless Systems

2009 ◽  
Vol 58 (6) ◽  
pp. 2793-2802 ◽  
Author(s):  
Yi Liu ◽  
Yangyang Zhang ◽  
Chunlin Ji ◽  
W.Q. Malik ◽  
D.J. Edwards
Keyword(s):  
Antenna Selection ◽  
Wireless Systems ◽  
Low Complexity ◽  
Selection Algorithm ◽  
Mimo Ofdm ◽  
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