scholarly journals Emulation of 3GPP SCME power‐delay profiles for characterisation of multiple‐input–multiple‐output antenna in reverberation chamber

2018 ◽  
Vol 12 (11) ◽  
pp. 1828-1833
Author(s):  
Tien Manh Nguyen ◽  
Seung‐Ho Kim ◽  
Jin‐Young Jeong ◽  
Jong‐Hwa Kwon ◽  
Jae‐Young Chung
Keyword(s):  
Multiple Input Multiple Output ◽  
Reverberation Chamber ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals Investigation of the Effect of Noise Correlations on Diversity Gains and Capacities of Multiport Antennas Using Reverberation Chamber

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaoming Chen ◽  
Jian Yang
Keyword(s):  
Multiple Input Multiple Output ◽  
Correlation Effects ◽  
Reverberation Chamber ◽  
Maximum Ratio Combining ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Capacity ◽  
First Time ◽  
Diversity Gains ◽  
Correlated Noises

Most of previous studies on diversity gains and capacities of multiantenna systems assumed independent and identically distributed (i.i.d.) Gaussian noises. There are a few studies about the noise correlation effects on diversity gains or MIMO capacities, however, by simulations only. In this paper, the maximum ratio combining (MRC) diversity gain and multiple-input multiple-output (MIMO) capacity including correlated noises are presented. Based on the derived formulas, measurements in a reverberation chamber are performed for the first time to observe the effect of noise correlations on diversity gains and MIMO capacities.

scholarly journals Differences in User Influence on MIMO Handset Antenna Performance in Reverberation Chamber

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Juan D. Sánchez-Heredia ◽  
Paul Hallbjörner ◽  
Juan F. Valenzuela-Valdés ◽  
Thomas Bolin ◽  
Antonio M. Martínez-González
Keyword(s):  
Multiple Input Multiple Output ◽  
Reverberation Chamber ◽  
Antenna Performance ◽  
User Influence ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Real Person ◽  
Test Objects

User influence on multiple-input multiple-output (MIMO) performance is studied for different dual antenna handsets specially designed to have good and bad MIMO performance. The study reveals that user influence can cause either improvement or degradation for different test objects, including a spread effect over the parameters. Differences in performance between good and bad handsets can be clear when they are measured without user influence, but become small under real person influence. This result illustrates the particular importance of user influence to characterize MIMO handsets.

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