Impact of clustering in indoor MIMO propagation using a hybrid channel model

  • Authors:

  • Zhongwei Tang;Ananda Sanagavarapu Mohan

  • Affiliations:

  • Microwave and Wireless Technology Research Laboratory, Information and Communication Group, Faculty of Engineering, University of Technology, Sydney, NSW, Australia;Microwave and Wireless Technology Research Laboratory, Information and Communication Group, Faculty of Engineering, University of Technology, Sydney, NSW, Australia

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2005

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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.