On the Performance of a Receive Antenna Selection Method for MIMO-OFDM System

2007 ◽  
Author(s):  
Quoc Tuan Tran ◽  
Shinsuke Hara ◽  
Kriangsak Sivashondhivat ◽  
Jun-ichi Takada ◽  
Atsushi Honda ◽  
...  
Keyword(s):  
Antenna Selection ◽  
Selection Method ◽  
Ofdm System ◽  
Mimo Ofdm ◽  
Receive Antenna

A Receiver Side Antenna Selection Method for MIMO-OFDM System

2006 ◽  
Author(s):  
Quoc Tran ◽  
Shinsuke Hara ◽  
Atsushi Honda ◽  
Yuuta Nakaya ◽  
Ichirou Ida ◽  
...  
Keyword(s):  
Antenna Selection ◽  
Selection Method ◽  
Receiver Side ◽  
Ofdm System ◽  
Mimo Ofdm

Proposal of Receive Antenna Selection Methods for MIMO-OFDM System

2008 ◽  
Vol E91-B (2) ◽  
pp. 505-517 ◽  
Author(s):  
Q. T. TRAN ◽  
S. HARA ◽  
K. SIVASONDHIVAT ◽  
J.-i. TAKADA ◽  
A. HONDA ◽  
...  
Keyword(s):  
Antenna Selection ◽  
Selection Methods ◽  
Ofdm System ◽  
Mimo Ofdm ◽  
Receive Antenna

A Receive Antenna Selection for MIMO-OFDM System

2006 ◽  
Author(s):  
Quoc Tuan Tran ◽  
Shinsuke Hara ◽  
Atsushi Honda ◽  
Yuuta Nakaya ◽  
Ichirou Ida ◽  
...  
Keyword(s):  
Antenna Selection ◽  
Ofdm System ◽  
Mimo Ofdm ◽  
Selection For ◽  
Receive Antenna

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 ◽  
Receive Antenna

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

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Anuj Singal ◽  
Deepak Kedia
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Antenna Selection ◽  
Scaling Factor ◽  
Power Scaling ◽  
Ofdm System ◽  
Selection Scheme ◽  
Hardware Impairments ◽  
Mimo Ofdm ◽  
Circuit Power

In massive multiple-input multiple-output (M-MIMO) systems, a large number of antennas increase system complexity as well as the cost of hardware. In this paper, we propose an M-MIMO-OFDM model using per-subcarrier antenna selection and bulk antenna selection schemes to mitigate these problems. Also, we derive a new uplink and downlink energy efficiency (EE) equation for the M-MIMO-OFDM system by taking into consideration the antenna selection schemes, power scaling factor (g=0.25,  0.5), and a range of hardware impairments {κBS, κUEϵ (0, 0.052, 0.12)}. In addition, we investigate a trend of EE by varying various parameters like number of base station antennas (BSAs), SNR, level of hardware impairments, total circuit power consumption, power optimization, antenna selection schemes, and power scaling factor in the proposed M-MIMO-OFDM model. The simulation results thus obtained show that the EE increases with increase in the value of SNR. Also, it increases abruptly up to 100 number of BSA. However, the increase in the EE is not significant in the range of 125 to 400 number of BSA. Further, the bulk antenna selection technique has comparatively more EE than the per-subcarrier antenna selection. Moreover, EE gaps between antenna selection schemes decrease with increase in the value of hardware impairments and power scaling factor. However, as the hardware degradation effect increases, the EE of the bulk antenna selection scheme suffers more degradation as compared to the Per-subcarrier antenna selection scheme. It has also been observed that EE performance is inversely proportional to the total circuit power consumption (λ+γ) and it increases with the power optimization.

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