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Outdoor MIMO Wireless Channels: Models and Performance Prediction
- IEEE Trans. Commun
, 2000
"... We present a new model for multiple-input multiple-output (MIMO) outdoor wireless fading channels. The proposed model is more general and realistic than the usual i.i.d. model and allows to investigate the behavior of channel capacity as a function of the scattering radii at transmitter and receiver ..."
Abstract
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Cited by 69 (10 self)
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We present a new model for multiple-input multiple-output (MIMO) outdoor wireless fading channels. The proposed model is more general and realistic than the usual i.i.d. model and allows to investigate the behavior of channel capacity as a function of the scattering radii at transmitter and receiver, distance between the transmit and receive arrays, and antenna beamwidths and spacing. We show how MIMO capacity is governed by spatial fading correlation and the condition number of the channel matrix through specific sets of propagation parameters. The proposed model reveals the existence of "pin-hole" channels which exhibit low spatial fading correlation at both ends of the link but still have poor rank properties and hence low ergodic capacity. We suggest guidelines for predicting high rank (and hence high ergodic capacity) in MIMO channels, and show that even at long ranges high channel rank can easily be sustained under mild scattering conditions. Finally, we validate our results by simulations using ray tracing techniques. Connections with basic antenna theory are made.
High-SNR power offset in multiantenna communication
- IEEE Transactions on Information Theory
, 2005
"... Abstract—The analysis of the multiple-antenna capacity in the high- regime has hitherto focused on the high- slope (or maximum multiplexing gain), which quantifies the multiplicative increase as a function of the number of antennas. This traditional characterization is unable to assess the impact of ..."
Abstract
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Cited by 43 (10 self)
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Abstract—The analysis of the multiple-antenna capacity in the high- regime has hitherto focused on the high- slope (or maximum multiplexing gain), which quantifies the multiplicative increase as a function of the number of antennas. This traditional characterization is unable to assess the impact of prominent channel features since, for a majority of channels, the slope equals the minimum of the number of transmit and receive antennas. Furthermore, a characterization based solely on the slope captures only the scaling but it has no notion of the power required for a certain capacity. This paper advocates a more refined characterization whereby, as a function of �f, the high- capacity is expanded as an affine function where the impact of channel features such as antenna correlation, unfaded components, etc., resides in the zero-order term or power offset. The power offset, for which we find insightful closed-form expressions, is shown to play a chief role for levels of practical interest. Index Terms—Antenna correlation, channel capacity, coherent communication, fading channels, high- analysis, multiantenna arrays, Ricean channels.
Multiple-antenna capacity in the low-power regime
- IEEE TRANS. INFORM. THEORY
, 2003
"... This paper provides analytical characterizations of the impact on the multiple-antenna capacity of several important features that fall outside the standard multiple-antenna model, namely: i) antenna correlation, ii) Ricean factors, iii) polarization diversity, and iv) out-of-cell interference; all ..."
Abstract
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Cited by 32 (8 self)
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This paper provides analytical characterizations of the impact on the multiple-antenna capacity of several important features that fall outside the standard multiple-antenna model, namely: i) antenna correlation, ii) Ricean factors, iii) polarization diversity, and iv) out-of-cell interference; all in the regime of low signal-to-noise ratio. The interplay of rate, bandwidth, and power is analyzed in the region of energy per bit close to its minimum value. The analysis yields practical design lessons for arbitrary number of antennas in the transmit and receive arrays.

