On the Relationship Between MMSE-SIC and BI-GDFE Receivers for Large Multiple-Input Multiple-Output Channels

2008 ◽  
Vol 56 (8) ◽  
pp. 3627-3637 ◽  
Author(s):  
Ying-Chang Liang ◽  
Eng Yeow Cheu ◽  
Li Bai ◽  
Guangming Pan
2020 ◽  
Vol 12 (1) ◽  
pp. 8-12
Author(s):  
Igor Tomić ◽  
Đorđe Lukić ◽  
Milutin Davidović ◽  
Dejan Drajić ◽  
Predrag Ivaniš

This paper considers a Multiple Input Multiple Output (MIMO) downlink scheduling procedure in Long Term Evolution (LTE) cellular networks. In particular, the relationship between Channel Quality Indicator (CQI) and MIMO utilization in LTE Frequency Division Duplex (FDD) systems was examined using the statistical analysis. Data was collected from a mature mobile network deployed in typical frequency bands for LTE FDD used in Europe - Band 3, Band 7 and Band 20. Obtained numerical results showed a significant correlation between reported CQI value and MIMO utilization.


2021 ◽  
Author(s):  
Joydev Ghosh ◽  
Huiling Zhu ◽  
Huseyin Haci

<div>A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account that is novel and different from widely used channel models. Two optimum codebook based beam-tracking schemes multi-objective joint optimization codebook (MJOC) and linear hybrid combiner (LHC) have been proposed for the novel channel model and their performance for spectral efficiency (SE) is presented. Performance for the two most commonly used channel state information (CSI) estimation approaches is investigated. Finally, the relationship between the beamforming training blocks and optimal beam tracking scheme is presented.</div>


2021 ◽  
Author(s):  
Joydev Ghosh ◽  
Huiling Zhu ◽  
Huseyin Haci

<div>A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account that is novel and different from widely used channel models. Two optimum codebook based beam-tracking schemes multi-objective joint optimization codebook (MJOC) and linear hybrid combiner (LHC) have been proposed for the novel channel model and their performance for spectral efficiency (SE) is presented. Performance for the two most commonly used channel state information (CSI) estimation approaches is investigated. Finally, the relationship between the beamforming training blocks and optimal beam tracking scheme is presented.</div>


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Changlin Zhou ◽  
Chunyang Wang ◽  
Jian Gong ◽  
Ming Tan ◽  
Yingjian Zhao ◽  
...  

Since the beampattern has the characteristics of range-angle dependence, frequency diverse array multiple-input multiple-output (FDA-MIMO) radar has a good application prospect. There have been many studies to improve the performance of the beampattern by optimizing the frequency offset. However, on the basis of fully understanding the time parameters, the relationship between the array element frequency offset and the beampattern performance still needs to be clarified. Based on a new FDA-MIMO radar framework, this paper presents an analytical solution of the beampattern, which removes the influence of the time parameter. Taking the minimum main lobe as the objective function, an analytical method for solving a better frequency offset is given. Then, a method of using the window function was proposed to reduce the high side lobes of the range dimension. Comparing with the existing FDA radar beampattern design methods, it can achieve a more focusing beampattern. The simulation results verify the correctness of the theory.


2021 ◽  
Author(s):  
Joydev Ghosh ◽  
Huiling Zhu ◽  
Huseyin Haci

<div>A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account that is novel and different from widely used channel models. Two optimum codebook based beam-tracking schemes multi-objective joint optimization codebook (MJOC) and linear hybrid combiner (LHC) have been proposed for the novel channel model and their performance for spectral efficiency (SE) is presented. Performance for the two most commonly used channel state information (CSI) estimation approaches is investigated. Finally, the relationship between the beamforming training blocks and optimal beam tracking scheme is presented.</div>


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