AG Kommunikationstheorie


Measurement-based Modeling of a Mobile Radio Channel


The new generation technologies, such as Long Term Evolution (LTE), come with great demands regarding high-speed data transmissions. Hence, the providers of user equipment (UE) should satisfy these requirements in the real mobile radio channel. Thereby, the manufacturers of the UEs have to test their products extensively and under realistic channel conditions to fulfill with the high expectation of their customers. In order to design the user equipment, two conventional validation methods are used i.e., conformance testing and field testing. Conformance testing determines whether the UE meets the requirements of a specification. Field testing evaluates the UE in a realistic environment during a drive test. However, both methods have drawbacks i.e., the conformance testing does not take into consideration the real-world factors, whereas the field testing is not reproducible in the laboratory. To overcome the shortcomings of these methods, this thesis presents a channel model that enables the simulation of a radio channel in the lab which shows a similar behavior like a real-world drive test scenario. The goal of this study is to record the mobile radio channel with a scanner during a drive test and reproduce the experienced channel condition in the laboratory. Hence, the measured channel data is estimated using a narrowband scanner. This data is processed, so it can serve as input to a continuous channel model that supports sideband systems. In order to truly capture the changing reception nature that a UE experiences due to motion or due to multipath propagation, this thesis proposes an approach that determines propagation paths individually based on the correlated scatterers and expresses the remaining scatterers statistically by scaling 3rd Generation Partnership Project (3GPP) channel models. The suggested approach is computed and compared with the measured channel profile for various scenarios. The emulation reveal beneficial results in different environments. As conclusion, the proposed method is promising, as it provides a method of modeling the mobile radio channel for typical real-world scenarios.

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