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Impact of Clustering in Indoor MIMO Propagation Using a Hybrid Channel Model

Abstract

The clustering of propagating signals in indoor environments can influence the performance of multiple-input multiple-output (MIMO) systems that employ multiple-element antennas at the transmitter and receiver. In order to clarify the effect of clustering propagation on the performance of indoor MIMO systems, we propose a simple and efficient indoor MIMO channel model. The proposed model, which is validated with on-site measurements, combines the statistical characteristics of signal clusters with deterministic ray tracing approach. Using the proposed model, the effect of signal clusters and the presence of the line-of-sight component in indoor Ricean channels are studied. Simulation results on channel efficiency and the angular sensitivity for different antenna array topologies inside a specified indoor scenario are also provided. Our investigations confirm that the clustering of signals significantly affects the spatial correlation, and hence, the achievable indoor MIMO capacity.

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Correspondence to Zhongwei Tang.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Tang, Z., Mohan, A.S. Impact of Clustering in Indoor MIMO Propagation Using a Hybrid Channel Model. EURASIP J. Adv. Signal Process. 2005, 896950 (2005). https://doi.org/10.1155/ASP.2005.1698

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Keywords and phrases

  • angle sensitivity
  • channel efficiency
  • indoor propagation
  • signal clusters
  • MIMO
  • Ricean K factor
  • ray tracing