Exact Capacity Distribution for Dual MIMO Systems in Ricean Fading

Smith, Peter J.; Garth, L.M.

doi:10.1109/lcomm.2003.822515

Cited by 41 publications

(29 citation statements)

References 8 publications

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“…Some exact results are now emerging for finite numbers of antennas [8] but in this Section we will look at the limiting case where r → ∞, t → ∞ and t/r = α. Since Rayleigh capacity grows linearly with m and LOS capacity only grows logarithmically, it is intuitively obvious that the normalized Ricean ergodic capacity will approach that of the underlying Rayleigh channel when the number of antennas (t, r) grows large.…”

Section: Asymptotic Capacity Of a Ricean Channelmentioning

confidence: 99%

MIMO Ricean channel capacity

Lebrun

Faulkner

Shafi³

et al. 2004

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)

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Abstract-This paper presents asymptotic bounds and limits for the ergodic channel capacity of MIMO systems under Ricean channel conditions. It is shown that the ergodic capacity per dimension decreases as the K factor increases in value and approaches a value equal to that of the underlying scattering channel when the number of antennas are large. The accuracy of the bounds is verified by simulations. In addition, a variety of results for the MIMO Ricean channel are brought together to give an overview of the current knowledge in this area.

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Section: Asymptotic Capacity Of a Ricean Channelmentioning

confidence: 99%

MIMO Ricean channel capacity

Lebrun

Faulkner

Shafi³

et al. 2004

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)

Self Cite

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“…The spatial correlation matrix at the transmitter will be modeled as in [12][13][14]. Rician fading channel [15] is also included in the model to consider LOS and NLOS propagations. Previous MIMO antenna design optimization studies are reported in [16] and [17] where the issue of how to appropriately select the number of antennas at the asymmetric base station and mobile units is studied.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Mangoud¹

2009

PIER C

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Abstract-The geometrical parameters of antenna arrays in a multiple-input multiple-output (MIMO) link that will maximize the ergodic channel capacity of the system are investigated. The problem of selecting the optimum number of the elements at the base station antenna array is also included. The genetic algorithm technique is applied for the optimisation process, using the ergodic capacity as a fitness function. A discrete model based on statistical distribution of the Angle of Arrival (AoA) of the incoming rays is considered. Searching for more compactness in the antenna size and higher system capacity, different array configurations with non-uniform inter-element spacing are considered, such as linear array, circular array and multicircular array (Star) geometries. Numerical examples that illustrate new designs of non-uniform spaced arrays are presented to show the capability of the developed procedures to optimize the capacity of indoor MIMO systems.

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“…In [11], a closed-form expression for ergodic capacity was derived for any number of transmit and receive antennas for Rayleigh fading. The exact distribution of mutual information was presented in [12] for dual MIMO systems under Rician fading. In [13], the MIMO channel capacity over the Hoyt fading channel was presented.…”

Section: Related Workmentioning

confidence: 99%

On the Exact Distribution of Mutual Information of Two-User MIMO MAC Based on Quotient Distribution of Wishart Matrices

Pivaro¹,

Kumar²,

Fraidenraich³

2017

J Wireless Com Network

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The pre-print version of this work can be found in https://arxiv.org/pdf/1601.03439v1.pdf. AbstractWe propose an exact calculation of the probability density function (PDF) and cumulative distribution function (CDF) of mutual information (MI) for a two-user multiple-input multiple-output (MIMO) multiple access channel (MAC) network over block Rayleigh fading channels. This scenario can be found in the uplink channel of MIMO non-orthogonal multiple access (NOMA) system, a promising multiple access technique for 5G networks. So far, the PDF and CDF have been numerically evaluated since MI depends on the quotient of two Wishart matrices, and no closed form for this quotient was available. We derive exact results for the PDF and CDF of extreme (the smallest/the largest) eigenvalues. Based on the results of quotient ensemble, the exact calculation for PDF and CDF of mutual information is presented via Laplace transform approach and by direct integration of joint PDF of quotient ensemble's eigenvalues. Furthermore, our derivations also provide the parameters to apply the Gaussian approximation method, which is comparatively easier to implement. We show that approximation matches the exact results remarkably well for outage probability, i.e., CDF, above 10%. However, the approximation could also be used for 1% outage probability with a relatively small error. We apply the derived expressions to investigate the effects of adding antennas in the receiver and its ability to decode the weak user signal. By supposing no channel knowledge at transmitters and successive decoding at receiver, the capacity of the weak user increases and its outage probability decreases with the increment of extra antennas at the receiver end.

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Exact Capacity Distribution for Dual MIMO Systems in Ricean Fading

Cited by 41 publications

References 8 publications

MIMO Ricean channel capacity

MIMO Ricean channel capacity

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

On the Exact Distribution of Mutual Information of Two-User MIMO MAC Based on Quotient Distribution of Wishart Matrices

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