Approximate capacity of OSTBC-OFDM in spatially correlated MIMO Nakagami-
            <i>m</i>
            fading channels

Chen, J.; Du, Zhenfang; Gao, Xi

doi:10.1049/el:20080171

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…In addition, the variance of the capacity of 2 × 2 MIMO systems with σ L = 10 dB is almost 38 times the variance of the ones with σ L = 0 dB. We have also analyzed the influence of severity of fading on the mean channel capacity and the variance 6 The CDF F C (r ) of the capacity C(t) of OSTBC MIMO NLN channels for different MIMO dimensions channel capacity, while the spread of the LCR increases. For example, for 2 × 2 MIMO systems with m i = 2, an increase in the shadowing standard deviation σ L from 0 to 10 dB decreases the maximum value of the LCR by a factor of 4.3.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Another advantage of using OSTBC is that it transforms MIMO fading channels into equivalent single-input single-output (SISO) channels, which significantly simplifies the mathematical formulation of MIMO channels [5]. Studies pertaining to the analysis of the capacity of OSTBC MIMO channels can be found in [6,7]. The outage performance and the error probability analysis of OSTBC MIMO systems have been studied in [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Shadowing and the Severity of Fading on the First and Second Order Statistics of the Capacity of OSTBC MIMO Nakagami-Lognormal Channels

Rafiq

Pätzold

2011

Wireless Pers Commun

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This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) multiple-input multiple-output (MIMO) Nakagamilognormal (NLN) channels. The NLN channel model allows to study the joint effects of fast fading and shadowing on the statistical properties of the channel capacity. We have derived exact analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the capacity of MIMO NLN channels. It is observed that an increase in the MIMO dimension or a decrease in the severity of fading results in an increase in the mean channel capacity, while the variance of the channel capacity decreases. On the other hand, an increase in the shadowing standard deviation increases the spread of the channel capacity, however the shadowing effect has no influence on the mean channel capacity. We have also presented approximation results for the statistical properties of the channel capacity, obtained using the Gauss-Hermite integration method. It is observed that approximation results not only reduce the complexity, but also have a very good fitting with the exact results. The presented results are very useful and general because they provide the flexibility to study the impact of shadowing on the channel capacity under different fading conditions. Moreover, the effects of

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Impact of Shadowing and the Severity of Fading on the First and Second Order Statistics of the Capacity of OSTBC MIMO Nakagami-Lognormal Channels

Rafiq

Pätzold

2011

Wireless Pers Commun

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“…The communication system architecture that includes a combination of OSTBC-OFDM–MRRC techniques is very widespread, and many studies have been conducted around this topic [ 32 , 33 , 34 , 35 , 36 ]. Note that the integration of architecture of the communication system described in Section 4 is identical to the architecture in this section.…”

Section: Analysis Performance-ber Of Ofdm-dual-polarization Combined ...mentioning

confidence: 99%

Analysis of OSTBC-OFDM Combined with Dual-Polarization and Time-Diversity in Millimeter-Wave MIMO Channels with Rain Distortions

Elgam

Peretz²,

Pinhasi³

2022

Sensors

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Various destructive weather and physical phenomena affect many parameters in the radio layer (i.e., affecting the wireless paths Over-The-Air (OTA)) of many outdoor-to-outdoor wireless systems. These destructive effects create polarization torsion and rotation of the signals propagating in space and cause the scattering of wireless spatial paths. The direct meaning is a significant degradation in system performance, especially in the Quality-of-Service (QoS). Under these challenging scenarios, intelligent utilization of advanced Multiple-Input-Multiple-Output (MIMO) techniques such as polarization-diversity and time-diversity at the transmitter, as well as at the receiver, and intelligent use of the Cross-Polarization-Isolation (XPI) mechanism, are essential. We prove that combining these techniques with the tuning of the XPI of the antennas creates optimal conditions in the wireless MIMO channels. This combination does not only improve the system’s performance, but also turns the destructive physical phenomena in the spatial-domain, into an advantage. In this article, we focus on formulating a wireless communication MIMO model in millimeter-Wave (mmWave) channels under rain distortions. We demonstrate the optimal use of combining Orthogonal-Space-Time-Coding (OSTBC) and Maximal-Ratio-Receive-Combiner (MRRC) with cross-polarization diversity techniques, that utilize the tuning of the XPI. An analytical exact optimal solution is proposed, that allows the tuning of the leading parameters to achieve global optimal performance, in terms of channel-capacity and Bit-Error-Rate (BER). In addition, we propose a process of approximation of feedback-closed-loop-MIMO. The feedback is employed between the transmitter and the receiver, in the scenario of changes in the channel-response-matrix in-between successive symbol-times. The feedback was designed to acheive global-maximum channel-capacity, while preserving the channel-path orthogonality in order to minimize the BER.

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“…Moreover, being orthogonal in structure, maximum likelihood decoding can be applied at the receiver that results in a significant decrease in the complexity of the receiver structure, compared to the prevailing coding techniques (e.g., STTC) [4]. Studies pertaining to the analysis of the capacity of OSTBC MIMO channels can be found in [6], [7]. The outage performance and the error probability analysis of OSTBC MIMO systems have been studied in [8]- [10].…”

mentioning

confidence: 99%

The Influence of Spatial Correlation and Severity of Fading on the Statistical Properties of the Capacity of OSTBC Nakagami-m MIMO Channels

Rafiq

Pätzold

Kontorovich

2009

VTC Spring 2009 - IEEE 69th Vehicular Technology Conference

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Abstract-This paper deals with the analysis of statistical properties of the capacity of spatially uncorrelated orthogonal spacetime block coded (OSTBC) Nakagami-m multiple-input multipleoutput (MIMO) channels. We have derived exact closed-form expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the channel capacity. We have also investigated the statistical properties of the approximated capacity of spatially correlated OSTBC Nakagami-m MIMO channels. The results are studied for different values of the fading parameter m, corresponding to different fading conditions. It is observed that an increase in the MIMO dimension 1 or a decrease in the severity of fading increases the mean channel capacity. While, a significant decrease in the mean channel capacity is observed with an increase in the spatial correlation. The correctness of theoretical results is confirmed by simulations.

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Approximate capacity of OSTBC-OFDM in spatially correlated MIMO Nakagami- m fading channels

Cited by 6 publications

References 10 publications

The Impact of Shadowing and the Severity of Fading on the First and Second Order Statistics of the Capacity of OSTBC MIMO Nakagami-Lognormal Channels

The Impact of Shadowing and the Severity of Fading on the First and Second Order Statistics of the Capacity of OSTBC MIMO Nakagami-Lognormal Channels

Analysis of OSTBC-OFDM Combined with Dual-Polarization and Time-Diversity in Millimeter-Wave MIMO Channels with Rain Distortions

The Influence of Spatial Correlation and Severity of Fading on the Statistical Properties of the Capacity of OSTBC Nakagami-m MIMO Channels

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