Efficient experimental evaluation of a MIMO handset with user influence
Author
Summary, in English
The immediate environment of handset antennas,
including the casings and the users holding the handsets, has a
strong impact on the radio channel in mobile communication. In
this paper we investigate a composite channel method that synthetically
combines double-directional measurements of the userless
propagation channel with measured super-antenna patterns,
i.e., patterns of the combined antenna-casing-user arrangement.
We experimentally evaluate the method by comparing results
(power, capacity, and eigenvalue distribution) obtained from
this composite method with direct measurements in the same
environment. The measurements were done in two static 8 × 4
MIMO scenarios at 2.6 GHz, with the user indoors and the base
station located outdoors and indoors, respectively. A realistic user
phantom together with a “smart-phone” handset mock-up with
four antenna elements was used, and different configurations and
orientations were tested. The method gives statistical distributions
of the MIMO eigenvalues, that are close to the measured. By
using the composite method, we found that the user, apart from
introducing hand and body loss that mainly decreases the SNR of
the channel, slightly increases the correlation between the fading
at the antenna elements.
including the casings and the users holding the handsets, has a
strong impact on the radio channel in mobile communication. In
this paper we investigate a composite channel method that synthetically
combines double-directional measurements of the userless
propagation channel with measured super-antenna patterns,
i.e., patterns of the combined antenna-casing-user arrangement.
We experimentally evaluate the method by comparing results
(power, capacity, and eigenvalue distribution) obtained from
this composite method with direct measurements in the same
environment. The measurements were done in two static 8 × 4
MIMO scenarios at 2.6 GHz, with the user indoors and the base
station located outdoors and indoors, respectively. A realistic user
phantom together with a “smart-phone” handset mock-up with
four antenna elements was used, and different configurations and
orientations were tested. The method gives statistical distributions
of the MIMO eigenvalues, that are close to the measured. By
using the composite method, we found that the user, apart from
introducing hand and body loss that mainly decreases the SNR of
the channel, slightly increases the correlation between the fading
at the antenna elements.
Department/s
Publishing year
2010
Language
English
Pages
853-863
Publication/Series
IEEE Transactions on Wireless Communications
Volume
9
Issue
2
Document type
Journal article
Publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- channelmeasurement
- Mobile communication
- channel model
- user phantom
- multiple-input multiple-output(MIMO)
Status
Published
Research group
- Radio Systems
ISBN/ISSN/Other
- ISSN: 1536-1276