Title
Block-Based Performance Measures for MIMO OFDM Beamforming Systems
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 en- vironments. 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 met- rics. This motivates an accurate Gaussian approximation to the system data rate and the number of outages per OFDM block. In addition to the data rate and outage distributions, we also consider the subcarrier signal-to-noise ratio (SNR) as a 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 applica- tions to performance analysis and system design are discussed. Index Terms—Adaptive modulation, average fade band- width (AFB), beamforming, eigenvalues, level crossing rate (LCR), multiple-input-multiple-output orthogonal frequency- division multiplexing (MIMO OFDM), Rayleigh fading channels. cumulative distribution function (cdf) and the exact mean and variance of the number of bits transmitted per OFDM block and the number of outages per OFDM block. An OFDM block is defined as N baseband-modulated symbols appended by a cyclic prefix. In addition, we analyze the level crossing rate (LCR) and the average fade bandwidth (AFB) of the subcarrier SNR across frequency. Results for the LCR and the AFB in the time domain are common. In this paper, the novelty is in the analysis of the LCR and the AFB for MIMO eigenmodes in the frequency domain.
Year
DOI
Venue
2009
10.1109/TVT.2008.2005102
IEEE T. Vehicular Technology
Keywords
Field
DocType
Gaussian processes,MIMO communication,Monte Carlo methods,OFDM modulation,Rayleigh channels,antenna arrays,diversity reception,transceivers,Gaussian approximation,MIMO OFDM beamforming systems,Monte Carlo simulations,average fade bandwidths,block-based performance metrics,central limit theorem,frequency-selective Rayleigh fading environments,maximum ratio combining,maximum ratio transmission,multiple-input-multiple-output antennas,orthogonal frequency-division multiplexing,signal-to-noise ratio,transceiver structure,Adaptive modulation,Rayleigh fading channels,average fade bandwidth (AFB),beamforming,eigenvalues,level crossing rate (LCR),multiple-input–multiple-output orthogonal frequency-division multiplexing (MIMO OFDM)
Link adaptation,MIMO-OFDM,Beamforming,Rayleigh fading,Computer science,Frequency-division multiplexing,Signal-to-noise ratio,MIMO,Electronic engineering,Orthogonal frequency-division multiplexing
Journal
Volume
Issue
ISSN
58
5
0018-9545
Citations 
PageRank 
References 
7
0.51
22
Authors
5
Name
Order
Citations
PageRank
Krishna P. Kongara181.53
Ping-heng Kuo21199.53
Peter J. Smith31544134.34
Lee M. Garth4729.11
Alan Clark58610.99