Experimental characterization of the MIMO wireless channel: data acquisition and analysis

Authors:
J. W. Wallace;M. A. Jensen;A. L. Swindlehurst;B. D. Jeffs
Affiliations:
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA;-;-;-
Venue:
IEEE Transactions on Wireless Communications
Year:
2003

Citing 0
Cited 10

Characterization of the Indoor/Outdoor to Indoor MIMO Radio Channel at 2.140 GHz

Wireless Personal Communications: An International Journal
MIMO Channel Characterization for Short Range Fixed Wireless Propagation Environments

Wireless Personal Communications: An International Journal
Characteristics of MIMO-OFDM channels in indoor environments

EURASIP Journal on Wireless Communications and Networking
Evaluation of diversity antenna designs using ray tracing, measured radiation patterns, and MIMO channel measurements

EURASIP Journal on Wireless Communications and Networking
Stable transmission in the time-varying MIMO broadcast channel

EURASIP Journal on Advances in Signal Processing
Performance bounds for MIMO-OFDM channel estimation

IEEE Transactions on Signal Processing
Pedestrians effects on indoor MIMO-OFDM channel capacity

WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Why does the Kronecker model result in misleading capacity estimates?

IEEE Transactions on Information Theory
Los and Nlos channel capacities for MIMO polarization diversity

ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
Particle swarm optimization assisted joint transmit/receive antenna combining for multiple relays in cooperative MIMO systems

Applied Soft Computing

Quantified Score

Hi-index	0.07

Visualization

Abstract

Detailed performance assessment of space-time coding algorithms in realistic channels is critically dependent upon accurate knowledge of the wireless channel spatial characteristics. This paper presents an experimental measurement platform capable of providing the narrowband channel transfer matrix for wireless communications scenarios. The system is used to directly measure key multiple-input-multiple-output parameters in an indoor environment at 2.45 GHz. Linear antenna arrays of different sizes and construction with up to ten elements at transmit and receive are utilized in the measurement campaign. This data is analyzed to reveal channel properties such as transfer matrix element statistical distributions and temporal and spatial correlation. Additionally, the impact of parameters such as antenna element polarization, directivity, and array size on channel capacity are highlighted. The paper concludes with a discussion of the relationship between multipath richness and path loss, as well as their joint role in determining channel capacity.