On polarization channel modeling

He, Yejun; Cheng, Xudong; Stuber, G.L.

doi:10.1109/mwc.2016.7422409

Cited by 33 publications

(25 citation statements)

References 13 publications

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“…Therefore, we first consider the scattering part (or channel)—a 3‐D multipolarized ULA massive MIMO system transmission scenario as shown in Figure . Usually, we regard the ground as a reference, which means the antennas perpendicular to the ground are vertically polarized antennas and the antennas parallel to the ground are horizontally polarized antennas . The x − S 1 − y plane is the horizontal plane.…”

Section: ‐D Channel Modeling Of Multipolarized Ula Massive Mimo Systemsmentioning

confidence: 99%

“…A commonly used method for describing this phenomenon is to define the cross‐polarization discrimination (XPD):

XPD = \frac{normalE false{false| h_{V V} |^{2} false}}{normalE false{false| h_{H V} |^{2} false}} = \frac{normalE false{false| h_{H H} |^{2} false}}{normalE false{false| h_{V H} |^{2} false}} = \frac{1 - a}{a},

where h X Y ( X , Y ∈ V , H ) is X Y channel and E{} represents the expectation operator. a (0 < a ≤1) is defined for modeling and computing, which corresponds to the part of the power that is leaked from X polarization to Y polarization . When there is no leakage from the X polarization to the Y polarization, a equals to 0; otherwise, there is leakage between the polarizations when 0 < a ≤ 1.…”

Section: ‐D Channel Modeling Of Multipolarized Ula Massive Mimo Systemsmentioning

confidence: 99%

“…Usually, we regard the ground as a reference, which means the antennas perpendicular to the ground are vertically polarized antennas and the antennas parallel to the ground are horizontally polarized antennas. 24 The x − S 1 − y plane is the horizontal plane. Hence, antennas A 1 and A m are vertically polarized antennas, antennas A 2 and A m + 1 are horizontally polarized antennas, and we make vertically polarized antennas and horizontally polarized antennas are arranged alternately.…”

Section: -D Channel Modeling Of Multipolarized Ula Massive Mimo Smentioning

confidence: 99%

“…a(0 < a≤1) is defined for modeling and computing, which corresponds to the part of the power that is leaked from X polarization to Y polarization. 24 When there is no leakage from the X polarization to the Y polarization, a equals to 0; otherwise, there is leakage between the polarizations when 0 < a ≤ 1. Then the one path channel including XPD can be expressed as…”

Section: -D Channel Modeling Of Multipolarized Ula Massive Mimo Smentioning

confidence: 99%

“…The channel vectors of user p with single vertically polarized antenna and user q with single horizontally polarized antenna for multipolarized URA massive MIMO systems can be written as (24) and (25). Then we can get the channel orthogonality and channel capacity of multipolarized URA massive MIMO systems as multipolarized ULA massive MIMO systems.…”

Section: -D Channel Modeling Of Multipolarized Ura Massive Mimo Smentioning

confidence: 99%

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Channel modeling and analysis for multipolarized massive MIMO systems

Cheng

Zhang

et al. 2018

Int J Communication

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Summary In this paper, we use the multipolarized antennas in massive multiple‐input multiple‐output (MIMO) systems to decline the channel orthogonality and enhance the system performance. We propose 3 multipolarized massive MIMO system schemes according to antenna structures of 3 widely used massive MIMO systems and establish 3‐D geometrical channel models. Simulation results show that the multipolarized massive MIMO systems outperform the unipolarized massive MIMO systems in many situations. The multipolarized antennas would be the best choice for massive MIMO systems if the space efficiency and the miniaturization of equipments are of primary concern.

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Section: ‐D Channel Modeling Of Multipolarized Ula Massive Mimo Systemsmentioning

confidence: 99%

“…A commonly used method for describing this phenomenon is to define the cross‐polarization discrimination (XPD):

XPD = \frac{normalE false{false| h_{V V} |^{2} false}}{normalE false{false| h_{H V} |^{2} false}} = \frac{normalE false{false| h_{H H} |^{2} false}}{normalE false{false| h_{V H} |^{2} false}} = \frac{1 - a}{a},

Section: ‐D Channel Modeling Of Multipolarized Ula Massive Mimo Systemsmentioning

confidence: 99%

Section: -D Channel Modeling Of Multipolarized Ula Massive Mimo Smentioning

confidence: 99%

Section: -D Channel Modeling Of Multipolarized Ula Massive Mimo Smentioning

confidence: 99%

Section: -D Channel Modeling Of Multipolarized Ura Massive Mimo Smentioning

confidence: 99%

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Channel modeling and analysis for multipolarized massive MIMO systems

Cheng

Zhang

et al. 2018

Int J Communication

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MIMO Channel Reconstruction from Lower Dimensional Multiple Antenna Measurements

Aleksiejunas

2017

Wireless Pers Commun

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A method for reconstructing multiple-input multiple-output (MIMO) channel correlation matrices from lower dimensional channel measurements is presented. Exploiting the symmetry of correlation matrix structure enables reproducing higher dimensional MIMO channel matrices from available lower order measurements. This leads to practically important applications allowing prediction of higher dimensional MIMO system capacity. In particular, we study Kronecker-type MIMO channels suitable for reconstructing full channel matrices from partial information about transmit-receive fading in spatial and polarimetric domains and analyze validity conditions for such models. One of the important channel conditions is Doppler frequency related to non-stationarity in the environment. We present simulations of cluster-type scattering model using 2 × 2 MIMO channel correlation matrices to predict performance of 2 × 4 MIMO system including recovery of angular power spectrum. An example of dual circular polarized 2×4 MIMO land mobile satellite measurements in 2.5 GHz frequency band illustrates applicability of the method to reconstruct spatial and polarimetric channel correlation matrices for estimating ergodic channel capacity from single-antenna or uni-polarized measurements.

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Multipolarized Antennas Channel Model of URA Based on SW Massive MIMO Systems in UpLink Transmission

Boulouird

Riadi

2021

Wireless Pers Commun

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On polarization channel modeling

Cited by 33 publications

References 13 publications

Channel modeling and analysis for multipolarized massive MIMO systems

Channel modeling and analysis for multipolarized massive MIMO systems

MIMO Channel Reconstruction from Lower Dimensional Multiple Antenna Measurements

Multipolarized Antennas Channel Model of URA Based on SW Massive MIMO Systems in UpLink Transmission

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