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Impact of system non-idealities on spatial correlation emulation in a multi-probe based MIMO OTA setup | IEEE Conference Publication | IEEE Xplore

Impact of system non-idealities on spatial correlation emulation in a multi-probe based MIMO OTA setup


Abstract:

MIMO OTA testing methodologies are being intensively investigated by CTIA and 3GPP, where a multi-probe anechoic chamber based solution is an important candidate for futu...Show More

Abstract:

MIMO OTA testing methodologies are being intensively investigated by CTIA and 3GPP, where a multi-probe anechoic chamber based solution is an important candidate for future standardized testing. In this paper, the probes located on an OTA ring are used to reproduce the channel spatial information. This paper investigates the extent to which we can emulate the channel spatial characteristics inside the test zone where the device under test is located. The focus is on performance deterioration introduced by system non-idealities on spatial correlation emulation in practical MIMO OTA test systems.
Date of Conference: 08-12 April 2013
Date Added to IEEE Xplore: 24 June 2013
ISBN Information:
Conference Location: Gothenburg, Sweden

I. Introduction

As a promising solution to evaluate multiple-input multiple output (MIMO) device performance in realistic situations in the lab, MIMO over the air (OTA) testing has attracted huge interest from both industry and academia. Standardization work for the development of the MIMO OTA test methods is ongoing in CTIA, 3GPP and COST IC1004 [1]. Single-input single output (SISO) OTA testing were standardized by CTIA and 3GPP around ten years ago. Two figure of merits (FoMs) were selected in SISO OTA for device evaluation: Total Radiated Power (TRP) and Total Reference Sensitivity (TRS) [2]. However, the methods developed for SISO OTA could not be directly adopted to evaluate MIMO device performance. The main challenges in evaluating MIMO devices is first to define the appropriate channel model used for performance evaluation and then to physically create that environment and test the device. Geometry-based stochastic channel models (GSCM) such as SCM, SCME, WINNER etc., are considered well suited for various typical scenarios and hence used in MIMO OTA testing [3].

References

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