Capacity variation of indoor multiple-input multiple-output channels

McNamara, DP; Beach, M.A.; Fletcher, P.N.; Karlsson, Peter

doi:10.1049/el:20001437

Cited by 31 publications

(17 citation statements)

References 1 publication

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“…In this measurement, TX-RX antenna arrays are separated far apart on each side of the link (TX = 6λ and RX = 3λ) which is considered to contribute to the de-correlation of the MIMO subchannels in nearrange LOS scenarios and to result in a full-rank MIMO channel and lead to the achievement of maximum MIMO capacity in LOS scenarios. The results are consistent with the phenomenon known as LOS MIMO in the literature [14,24,25,42].…”

Section: Mimo Channel Capacity Against Separation Distancesupporting

confidence: 91%

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Onubogu

Ziri-Castro

Jayalath

et al. 2015

J Wireless Com Network

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In this paper, a novel 2 × 2 multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) testbed based on an Analog Devices AD9361 highly integrated radio frequency (RF) agile transceiver was specifically implemented for the purpose of estimating and analyzing MIMO-OFDM channel capacity in vehicle-to-infrastructure (V2I) environments using the 920 MHz industrial, scientific, and medical (ISM) band. We implemented two-dimensional discrete cosine transform-based filtering to reduce the channel estimation errors and show its effectiveness on our measurement results. We have also analyzed the effects of channel estimation error on the MIMO channel capacity by simulation. Three different scenarios of subcarrier spacing were investigated which correspond to IEEE 802.11p, Long-Term Evolution (LTE), and Digital Video Broadcasting Terrestrial (DVB-T)(2k) standards. An extensive MIMO-OFDM V2I channel measurement campaign was performed in a suburban environment. Analysis of the measured MIMO channel capacity results as a function of the transmitter-to-receiver (TX-RX) separation distance up to 250 m shows that the variance of the MIMO channel capacity is larger for the near-range line-of-sight (LOS) scenarios than for the long-range non-LOS cases, using a fixed receiver signal-to-noise ratio (SNR) criterion. We observed that the largest capacity values were achieved at LOS propagation despite the common assumption of a degenerated MIMO channel in LOS. We consider that this is due to the large angular spacing between MIMO subchannels which occurs when the receiver vehicle rooftop antennas pass by the fixed transmitter antennas at close range, causing MIMO subchannels to be orthogonal. In addition, analysis on the effects of different subcarrier spacings on MIMO-OFDM channel capacity showed negligible differences in mean channel capacity for the subcarrier spacing range investigated. Measured channels described in this paper are available on request. Keywords: MIMO-OFDM; Capacity; V2I; LOS; Channel Review IntroductionMultiple-input multiple-output (MIMO) systems have attracted considerable attention due to the increasing requirements of high capacity, spectral efficiency, and reliability in wireless communications. For example, MIMO systems have been adopted in the Long-Term Evolution (LTE) system, and it is expected that the upcoming developments in IEEE 802.11p and Digital Video Broadcasting Terrestrial (DVB-T) wireless standards will include the use of MIMO. It has been shown [1] that MIMO, *Correspondence: okechukwu.onubogu@qut.edu.au 1 School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD 4001, Australia Full list of author information is available at the end of the article when deployed in a rich scattering environment, is capable of achieving high spectral efficiency, capacity, and reliability by exploiting the increased spatial degrees of freedom. MIMO is often combined with the orthogonal frequency division multiplexing (OFDM) in m...

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Section: Mimo Channel Capacity Against Separation Distancesupporting

confidence: 91%

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Onubogu

Ziri-Castro

Jayalath

et al. 2015

J Wireless Com Network

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“…It operates by minimising the sum of the squares of the residuals, where a residual is the difference between a measured and fitted value. SVD is well known in the area of wireless communications as it has been used extensively as a means of extracting insights into the behaviour of MIMO spatial channels and configuring MIMO arrays [4]. However, it is used here to compute model parameters from radio channel path-loss data.…”

Section: Empirical Path-loss Modellingmentioning

confidence: 99%

Indoor‐to‐outdoor empirical path loss modelling for femtocell networks at 0.9, 2, 2.5 and 3.5 GHz using singular value decomposition

Allen¹,

Mahato

Gao

et al. 2017

IET Microwaves, Antennas & Propagation

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Two empirical indoor‐to‐outdoor path loss models to facilitate femtocell network deployment are derived from continuous wave power measurements. A large set of indoor–outdoor transmitter locations in two residential streets in an urban setting and operating at 900 MHz, 2 GHz, 2.5 GHz and 3.5 GHz have been used to derive the model parameters by using singular value decomposition (SVD). The path loss models have been compared and validated against existing models as well as independent measurement data and good comparison is shown. The root mean square error of the residual path loss data obtained from the measurement data, which directly relates to the channel shadowing characteristics, is compared and validated with known results and has led to new model parameters being proposed. The expressions derived from the modelling can be used in system‐level simulators, as well as for shadowing interference analysis of two‐tier heterogeneous networks operating in indoor–outdoor scenarios at or close to the operating frequencies considered. In this study, the models extend the operating frequency range compared to related models and introduce SVD as a convenient means of deriving parameters from measured path loss data.

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“…This can be attributed to the increased correlation, which reduces the rank of the channel matrix thereby resulting in a lower capacity, between the received signals [3]- [5]. A feasible solution in order to mitigate these undesired effects lies in the use of specifically designed antenna arrays [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

Capacity Study of Vehicle-to-Roadside MIMO Channels with a Line-of-Sight Component

Matthaiou

Laurenson

Wang

2008

2008 IEEE Wireless Communications and Networking Conference

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Abstract-In this paper, the performance of a Multiple-Input Multiple-Output (MIMO) system is assessed in the case of vehicle-to-roadside communications. We investigate a Line-ofSight (LoS) scenario where a specular wavefront impinges on the receive side. Under these conditions, the channel response is usually rank deficient due to the high correlation between the spatial LoS responses, unless specific antenna geometries are employed in order to achieve subchannel orthogonality. For our investigation, a recently proposed criterion, which maximizes the LoS-channel rank and eventually the channel capacity, is revised for different array configurations.

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Capacity variation of indoor multiple-input multiple-output channels

Cited by 31 publications

References 1 publication

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Indoor‐to‐outdoor empirical path loss modelling for femtocell networks at 0.9, 2, 2.5 and 3.5 GHz using singular value decomposition

Capacity Study of Vehicle-to-Roadside MIMO Channels with a Line-of-Sight Component

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