2017
DOI: 10.1049/iet-map.2015.0769
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Channel models for capacity evaluation of MIMO handsets in data mode

Abstract: This work investigates different correlation based models useful for evaluation of outage capacity (OC) of mobile multiple-input multiple-output (MIMO) handsets. The work is based on a large measurement campaign in a micro-cellular setup involving two dual-band base stations, 10 different handsets in an indoor environment for different use cases and test users. Several models are evaluated statistically, comparing the OC values estimated from the model and measurement data, respectively, for about 2,700 measur… Show more

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Cited by 2 publications
(3 citation statements)
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References 34 publications
(56 reference statements)
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“…Using (7), the denominator of (9) (12) where  is the angular frequency, 0  the free space magnetic permeability and k the wave number. Thus, by combining (9), (11) and (12) …”
Section: B Proposed Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…Using (7), the denominator of (9) (12) where  is the angular frequency, 0  the free space magnetic permeability and k the wave number. Thus, by combining (9), (11) and (12) …”
Section: B Proposed Methodologymentioning
confidence: 99%
“…Vasilis Papamichael and Petros Karadimas, Member IEEE Although the focus of this paper is on diversity performance of MPA systems, the proposed electromagnetic methodology can be advantageous to other research fields requiring covariance matrix estimations, such as MIMO capacity calculations [11]- [13] and antenna systems for direction of arrival (DOA) estimation [14], [15]. In both fields, the covariance matrix was not determined via the rigorous applicability of the reciprocity principle of MPA systems [8].…”
Section: On the Covariance Matrix And Diversity Performance Evaluatiomentioning
confidence: 99%
“…However, the performance of multiple-input-multiple-output (MIMO) antennas depends on the propagation environment as well as the design of antenna elements (AEs) and their positions on the chassis [4,5]. AEs of MIMO antenna should be low correlated and highly efficient; therefore, optimizing MIMO AEs in terms of design and location on the chassis is an essential issue to improve performance [6,7]. Moreover, the performance of MIMO antennas of mobile terminal is limited by the effect of user's body (hands and head) when the device is used in data or talk modes [8].…”
Section: Introductionmentioning
confidence: 99%