Block-Based Performance Measures for MIMO OFDM Beamforming Systems

Kongara, K.P.; Kuo, Ping-Heng; Smith, Peter J.; Garth, L.M.; Clark, A.

doi:10.1109/tvt.2008.2005102

Cited by 13 publications

(8 citation statements)

References 36 publications

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“…From (6), condition (15) is simple to verify as long as the Hermite rank of g is at least two [2]. In [7] we demonstrate that the Hermite rank is at least two, which is intuitively sensible since g(X j ) is a symmetric function of X j . Hence, the theorem supplies a CLT for W .…”

Section: Theorem 1 (Arcones-de Naranjo)mentioning

confidence: 63%

“…As discussed in [7], the exact distribution of W is prohibitively complex due to the difficulties in using the joint PDF of (λ (1) max , λ (2) max , . .…”

Section: Mimo Ofdm System Analysismentioning

confidence: 99%

“…This leads to reduced accuracy in the formulas (27) and (28). We propose a method to ameliorate this problem in [7].…”

Section: A Subcarrier Link Gain In Siso Ofdmmentioning

confidence: 99%

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Performance Analysis of Adaptive MIMO OFDM Beamforming Systems

Kongara

Kuo

Smith

et al. 2008

2008 IEEE International Conference on Communications

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Abstract-In this paper we consider an adaptive modulation system with multiple-input multiple-output (MIMO) antennas in conjunction with orthogonal frequency division multiplexing (OFDM) operating over frequency selective Rayleigh fading environments. In particular, we consider a type of beamforming with a maximum ratio transmission, maximum ratio combining (MRT-MRC) transceiver structure. For this system we derive a central limit theorem for various block-based performance metrics. This motivates an accurate Gaussian approximation to the system data rate and the number of outages per OFDM block. In addition to data rate and outage distributions, we also consider the subcarrier SNR as a random process in the frequency domain and compute level crossing rates (LCRs) and average fade bandwidths (AFBs). Hence, we provide fundamental but novel results for the MIMO OFDM channel. The accuracy of these results is verified by Monte Carlo simulations, and applications to both performance analysis and system design are discussed.

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Section: Theorem 1 (Arcones-de Naranjo)mentioning

confidence: 63%

“…As discussed in [7], the exact distribution of W is prohibitively complex due to the difficulties in using the joint PDF of (λ (1) max , λ (2) max , . .…”

Section: Mimo Ofdm System Analysismentioning

confidence: 99%

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Performance Analysis of Adaptive MIMO OFDM Beamforming Systems

Kongara

Kuo

Smith

et al. 2008

2008 IEEE International Conference on Communications

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“…Note that f k (x, y) is not reported in [17] but is simple to obtain as follows. Differentiating (15) with respect to x gives…”

Section: Z Max : Rayleigh Fadingmentioning

confidence: 99%

Eigenvalue variation in MIMO OFDM systems

Kongara

Smith

Garth

2008

2008 Australian Communications Theory Workshop

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Abstract-In this paper we consider the variation of eigenvalues and eigenvalue sums across the frequency bins of a MIMO OFDM system. In particular, we consider the changes in the ordered eigenvalues and the eigenvalue sum or link gain between two distinct frequency bins. The size of such changes has an important effect both on system performance and design. In addition these results have applications in other areas, including temporal variation, feedback delay and channel estimation. Novel results presented include distributions and moments for changes in link gain and the maximum eigenvalue and autocorrelation functions for the link gain and maximum eigenvalue. Furthermore, some very simple approximate results for the ordered eigenvalue differences are presented and the accuracy of the analysis is verified by Monte Carlo simulations.

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“…The transmit beam forming for MIMO-OFDM with MRC receiver is discussed in [1,2] Another approach is based on feedback of partial channel information [3,4]. These methods in general do not perform as well as the one using instantaneous feedback since they do not track the rapid fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Performance of the MIMO MC-CDMA system with beamforming

Tamilarasan¹,

Nithyanandan

2013

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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The quality of a wireless link can be described by three basic parameters, namely transmission rate, transmission range and transmission reliability. With the advent of multipleinput multiple-output (MIMO) assisted Multicarrier code division multiple access (MC-CDMA) systems, the abovementioned three parameters may be simultaneously improved. The MC-CDMA combined with the MIMO technique, has become a core technology for future mobile radio communication system. However, possible potential gain in spectral efficiency is challenged by the receiver's ability to accurately detect the symbol due to inter symbol interference (ISI). Multipath propagation, mobility of transmitter, receiver and local scattering cause the signal to be spread in frequency, different arrival time and angle, which results in ISI in the received signal. This will affect overall system performance. The use of MC-CDMA mitigates the problem of time dispersion. However, still it is necessary to remove the amplitude and phase shift caused by channel. To solve this problem, a multiple antenna array can be used at the receiver, not only for spectral efficiency or gain enhancement, but also for interference suppression. This can be done by the beam forming, efficient channel estimation with strong equalization. This paper proposes MIMO MC-CDMA system with beamforming, Minimum mean square error (MMSE) equalization with ideal channel estimation. The simulation result shows improved BER performance when the sub carrier (SC) and antenna configuration was increased.

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Block-Based Performance Measures for MIMO OFDM Beamforming Systems

Cited by 13 publications

References 36 publications

Performance Analysis of Adaptive MIMO OFDM Beamforming Systems

Performance Analysis of Adaptive MIMO OFDM Beamforming Systems

Eigenvalue variation in MIMO OFDM systems

Performance of the MIMO MC-CDMA system with beamforming

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