NDLI: Outdoor-to-Indoor Office MIMO Measurements and Analysis at 5.2 GHz

Content Provider	IEEE Xplore Digital Library
Author	Wyne, S. Molisch, A.F. Almers, P. Eriksson, G. Karedal, J. Tufvesson, F.
Copyright Year	1967
Abstract	The outdoor-to-indoor wireless propagation channel is of interest for cellular and wireless local area network applications. This paper presents the measurement results and analysis based on our multiple-input-multiple-output (MIMO) measurement campaign, which is one of the first to characterize the outdoor-to-indoor channel. The measurements were performed at 5.2 GHz; the receiver was placed indoors at 53 different locations in an office building, and the transmitter was placed at three "base station" positions on a nearby rooftop. We report on the root-mean-square (RMS) angular spread, building penetration, and other statistical parameters that characterize the channel. Our analysis is focused on three MIMO channel assumptions often used in stochastic models. 1) It is commonly assumed that the channel matrix can be represented as a sum of a line-of-sight (LOS) contribution and a zero-mean complex Gaussian distribution. Our investigation shows that this model does not adequately represent our measurement data. 2) It is often assumed that the Rician if-factor is equal to the power ratio of the LOS component and the other multipath components (MPCs). We show that this is not the case, and we highlight the difference between the Rician if-factor often associated with LOS channels and a similar power ratio for the estimated LOS MPC. 3) A widespread assumption is that the full correlation matrix of the channel can be decomposed into a Kronecker product of the correlation matrices at the transmit and receive array. Our investigations show that the direction-of-arrival (DOA) spectrum noticeably depends on the direction-of-departure (DOD); therefore, the Kronecker model is not applicable, and models with less-restrictive assumptions on the channel, e.g., the Weichselberger model or the full correlation model, should be used.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	1374
Ending Page	1386
Page Count	13
File Size	1082400
File Format	PDF
ISSN	00189545
Volume Number	57
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Rician channels Matrix decomposition Cellular networks Wireless LAN Position measurement Performance evaluation Transmitters Base stations Stochastic processes Weichselberger model Angular dispersion channel sounding direction-of-arrival (DOA) direction-of-departure (DOD) Kronecker model line-of-sight (LOS) power factor multiple-input multiple-output (MIMO) Rician $K$-factor virtual channel representation (VCR) direction of arrival direction of departure angular dispersion LOS power factor Rician K-factor Virtual channel representation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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Statistical evaluation of outdoor-to-indoor office MIMO measurements at 5.2 GHz

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Outdoor-to-Indoor Office MIMO Measurements and Analysis at 5.2 GHz

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