Estimating MIMO system performance using the correlation matrix approach

Loyka, Sergey; Tsoulos, George V.

doi:10.1109/4234.975485

Cited by 86 publications

(65 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some studies using specific models of the AOA PDF for this scenario have been reported in [4,5]. Using the Fourier transform technique above, one can relate the correlation of the tilted cluster ( 0 0 θ ≠ ) to that of the broadside…”

Section: Fig 1 Illustration Of the Problem Geometrymentioning

confidence: 99%

“…Considering 2x2 MIMO system with uncorrelated Tx end (i.e. all the correlation is concentrated at the Rx end), its mean capacity C and its upper bound up C (in bit/s/Hz) can be expressed as [4]:…”

Section: Amentioning

confidence: 99%

“…Careful modeling of correlation and its impact on the MIMO system performance is, hence, of high importance [1,3,4]. Since the angular spectrum of the incoming multipath has ultimately related to the correlation and can also be measured for practical channels, its study attracted significant attention in recent years [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On multipath clustering in angular domain and its impact on channel capacity and diversity gain

Zhao

Loyka

2006

2006 First European Conference on Antennas and Propagation

View full text Add to dashboard Cite

Abstract-The effect of multipath clustering in angular domain and its impact on multi-antenna (MIMO) system performance (capacity, diversity gain) is studied in details. Fourier transform technique is a powerful tool that provides insight into the relationship between the angular spectrum (or angular probability density function(PDF)) of the incoming multipath and the antennas' signal correlation. Compact closed-form expressions are derived and validated in the case of small angular spread in each cluster. Optimization problem is studied in terms of correlation and capacity/diversity gain. It is demonstrated that the capacity/diversity gain can be maximized by the antenna array orientation in such a way that individual cluster contributions to the correlations add in a destructive way. A new way to determine the angular PDF from measured data is suggested.

show abstract

Section: Fig 1 Illustration Of the Problem Geometrymentioning

confidence: 99%

Section: Amentioning

confidence: 99%

See 1 more Smart Citation

On multipath clustering in angular domain and its impact on channel capacity and diversity gain

Zhao

Loyka

2006

2006 First European Conference on Antennas and Propagation

View full text Add to dashboard Cite

show abstract

“…In the sequel, we consider the capacity of the MIMO channel when the channel gains between transmit and received antennas are correlated [6][7][8][9][10]. When the SNR is high, the deterministic channel capacity can be approximated as constrained to be a unity [11][12][13][14][15][16]. From (5), then, the MIMO channel is given as log det log det( ) log det( )…”

Section: Mimo Channel Capacity In the Presence Of Antenna Correlamentioning

confidence: 99%

Ergodic Capacity of MIMO Channel in Multipath Fading Environment

Ahmad¹,

Singh²,

Singh³

2013

IJIEEB

View full text Add to dashboard Cite

Abstract-The demand for the higher bandwidth is continuously increasing, and to cater to wireless communication can be used. The bandwidth has a close relationship with data-rates in turn has a dependency with channel capacity. In this paper, the channel capacity is estimated when CSI is known/not known at the transmitter and it has been shown that the knowledge of the CSI at the transmitter may not be very useful. The channel capacity for the random MIMO channels is also estimated through simulation and outage capacity is discussed. Finally, MIMO channel capacity in the presence of antenna correlation effect is estimated and obtained results are discussed.

show abstract

“…Consequently, the effect of signal correlation on MIMO systems have been recently studied by Monte Carlo simulation in [14], [1], [30] and [34].…”

Section: Antennas Correlation In Mimo Systemsmentioning

confidence: 99%

Resource Allocation in Correlated MIMO Systems

Broncano¹

View full text Add to dashboard Cite

Antennas proximity produces the antennas correlation effect which impacts over the Multiple-Input Multiple-Output (MIMO) system performance. This PhD thesis evaluate the receiver-side antennas correlation effect and outputs the appropriate antennas set-up, showing simulation results for a (4 × 4) correlated MIMO channel with linear and non-linear uniformly spaced antennas. Therefore, optimal and sub-optimal resource allocation techniques for MIMO systems are compared. Bit and power allocation techniques have been investigated in order to find out optimal algorithms to achieve the best bit-error rate (BER) performance. An optimal power allocation (PA) technique based on Lagrange multiplier method is compared against a sub-optimal PA based on an equal-SNR for uncorrelated and correlated channel profiles. Following the sub-optimal strategies, a novel iterative bit-and power allocation (IBPA) approach has been developed when transmitting a given bit/s/Hz data rate over a correlated frequency non-selective (4 × 4) MIMO channel. The iterative resources allocation algorithm developed in this investigation is aimed at the achievement of the minimum BER in a correlated MIMO communication system. In order to achieve this goal, the available bits are iteratively allocated in the MIMO active layers which present the minimum transmit power requirement per time slot. Finally, this single-user MIMO system has been extended to multi-user MIMO system. 2 "It seems that the harder I work, the luckier I am."

show abstract

Estimating MIMO system performance using the correlation matrix approach

Cited by 86 publications

References 12 publications

On multipath clustering in angular domain and its impact on channel capacity and diversity gain

On multipath clustering in angular domain and its impact on channel capacity and diversity gain

Ergodic Capacity of MIMO Channel in Multipath Fading Environment

Resource Allocation in Correlated MIMO Systems

Contact Info

Product

Resources

About