Jukka-Pekka Nuutinen

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We present a solution to the problem of identifying clusters from MIMO measurement data in a data window, with a minimum of user interaction. Conventionally, visual inspection has been used for the cluster identification. However this approach is impractical for a large amount of measurement data. Moreover, visual methods lack an accurate definition of a(More)
The modeling results from wideband radio channel measurements are presented for two environments: rural and indoor. The paper focuses on the average and instantaneous characteristics of received power including: path loss, shadow fading, power delay profiles, and rms delay spreads. Furthermore, the cross correlation between shadowing of the path loss and(More)
This thesis presents the Random-Cluster Model (RCM), a novel geometry-based stochastic model for frequency-selective and smoothly time-variant MIMO radio channels. The RCM uses the concept of clusters, i.e. groups of multipath components (MPCs), to model the propagation environment. In the RCM, the environment is solely specified by the multivariate(More)
This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention. The method comprises the following steps: (i) identify clusters in measurement data, (ii) identify the optimum number of clusters, (iii) track clusters over consecutive time(More)
This paper addresses the problem of identifying clusters from MIMO measurement data. Conventionally, visual inspection has been used for the cluster identification, however this approach is impractical for a large amount of measurement data. Moreover, visual methods lack an accurate definition of a “cluster” itself. We propose to use a previously(More)
Geometry-based stochastic MIMO channel models using the concept of multipath clusters are advantageous to model the spatial structure of the channel accurately and in a intuitive manner. However, they are difficult to parameterize. This becomes evident in current (quasi-)standard models, which provide default parameters to cover the environments of(More)
Recent findings suggest to split the impulse response of the radio channel into discrete paths and the “diffuse multipath” (DMP). This diffuse part can be described by an exponentially decaying power delay profile. This paper shows how to improve current radio channel models using the DMP concept. From MIMO channel measurements, we find that the DMP(More)
Indoor MIMO measurements in a laboratory environment, covering both line-of-sight (LoS) and obstructed lineof-sight (OLoS), are reported. Comparison of data taken at 2.55 and 5.25 GHz reveal subtle differences in temporal and angular characteristics. Multipath appears in clusters, which can be attributed to specific scattering/reflection areas in the(More)
This paper presents the Random-Cluster Model (RCM), a stochastic time-variant, frequency-selective, propagation-based MIMO channel model that is directly parametrised from measurements. Using a fully automated algorithm, multipath clusters are identified from measurement data without user intervention. The cluster parameters are then used to define the(More)