Channel capacity of MIMO architecture using the exponential correlation matrix

Loyka, Sergey

doi:10.1109/4234.951380

Cited by 781 publications

(474 citation statements)

References 15 publications

(27 reference statements)

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“…Traditionally an envelope correlation coefficient of 0.7 or less is considered to be adequate to provide diversity reception [Jakes, 1974]. An experimental study on a uniform linear array however asserts that the inter-element correlation coefficient of less than 0.9 is sufficient to provide the MIMO capacity improvements [Loyka, 2001]. The results proves the assertion found in literature that in order to achieve significant decorrelation antennas must have a separation distance of at-least λ/2 between them [Jakes, 1974].…”

Section: A Comparison Of Separation Distance and Orientation Dependensupporting

confidence: 78%

An experimental investigation into the feasibility of MIMO techniques within the HF band

Abbasi

2007

2nd European Conference on Antennas and Propagation (EuCAP 2007)

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An experimental investigation into the feasibility of MIMO techniques within the HF band Abstract MIMO research so far has primarily focussed on the VHF-SHF frequency bands with an aim to increase the data rates achieved over a limited spectrum. MIMO requires a rich scattering environment in order to create parallel spatial data pipes between antennas at the transmitter and the receiver. The HF band is also affected by the multipath effects through reflections in the different layers of the ionosphere and hence is a suitable candidate for MIMO. It was determined that antenna modelling could be used to design small, collocated antenna arrays for HF-MIMO application.This research may act as the foundation stone on which the future endeavours into the application of MIMO techniques in the HF band could be built.iii Acknowledgement It is a pleasure for me to thank the people who contributed towards this research. My gratitude goes to Professor Mike Warrington who supervised this research and was always willing to encourage and support me in addition to the invaluable input and suggestions. Dr. David Siddle as co-supervisor was always there to listen and advise, no matter how busy he was. I would also like to acknowledge Dr. Salil Gunashekar for his forthcoming support and co-operation throughout this project.I am indebted to my wife who supported me all along and showed great patience. She shielded me from many day to day worries and allowed me the time and space to concentrate on my research.

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Section: A Comparison Of Separation Distance and Orientation Dependensupporting

confidence: 78%

An experimental investigation into the feasibility of MIMO techniques within the HF band

Abbasi

2007

2nd European Conference on Antennas and Propagation (EuCAP 2007)

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“…We consider a Kronecker-structured system where the transmitter and the receiver are equipped with four antennas each. The antenna correlation follows the exponential model [12], which in principle models a uniform linear array (ULA) with the correlation between adjacent antennas as a parameter. The antenna correlation at the transmitter and receiver side is fixed at 0.8 and 0.6, respectively.…”

Section: Numerical Examplesmentioning

confidence: 99%

Training-based Bayesian MIMO channel and channel norm estimation

Björnson

Ottersten

2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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Training-based estimation of channel state information in multiantenna systems is analyzed herein. Closed-form expressions for the general Bayesian minimum mean square error (MMSE) estimators of the channel matrix and the squared channel norm are derived in a Rayleigh fading environment with known statistics at the receiver side. When the second-order channel statistics are available also at the transmitter, this information can be exploited in the training sequence design to improve the performance. Herein, mean square error (MSE) minimizing training sequences are considered. The structure of the general solution is developed, with explicit expressions at high and low SNRs and in the special case of uncorrelated receive antennas. The optimal length of the training sequence is equal or smaller than the number of transmit antennas.

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“…We consider a system where the transmitter and the receiver are equipped with four antennas each. The antenna correlation follows the exponential model [12], which in principle models a uniform linear array (ULA) with the correlation between adjacent antenna elements as a parameter. An OSTBC with rate 3/4 and a spatial coding dimension of 4 is used, for example the one proposed in [4], and the symbol constellation is 16-QAM.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…The transmitter and the receiver are equipped with four antennas, with a fixed correlation of 0.5 between adjacent antennas in each array [12].…”

Section: Corollary 2 Consider the Sers Inmentioning

confidence: 99%

On the impact of spatial correlation and precoder design on the performance of MIMO systems with space-time coding

Björnson

Ottersten

Jorswieck

2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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The symbol error performance of spatially correlated multi-antenna systems is analyzed herein. When the transmitter only has statistical channel information, the use of space-time block codes still permits spatial multiplexing and mitigation of fading. The statistical information can be used for precoding to optimize some quality measure. Herein, we analyze the performance in terms of the symbol error rate (SER). It is shown analytically that spatial correlation at the receiver decreases the performance both without precoding and with an SER minimizing precoder. Without precoding, correlation should also be avoided at the transmitter side, but with an SER minimizing precoder the performance is actually improved by increasing spatial correlation at the transmitter. The structure of the optimized precoder is analyzed and the asymptotic properties at high and low SNRs are characterized and illustrated numerically.

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Channel capacity of MIMO architecture using the exponential correlation matrix

Cited by 781 publications

References 15 publications

An experimental investigation into the feasibility of MIMO techniques within the HF band

An experimental investigation into the feasibility of MIMO techniques within the HF band

Training-based Bayesian MIMO channel and channel norm estimation

On the impact of spatial correlation and precoder design on the performance of MIMO systems with space-time coding

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