Channel models are important tools to evaluate the performance of new concepts in mobile communications. However, there is a tradeoff between complexity and accuracy. In this paper, we extend the popular Wireless World Initiative for New Radio (WINNER) channel model with new features to make it as realistic as possible. Our approach enables more realistic evaluation results at an early stage of algorithm development. The new model supports 3-D propagation, 3-D antenna patterns, time evolving channel traces of arbitrary length, scenario transitions and variable terminal speeds. We validated the model by measurements in a coherent LTE advanced testbed in downtown Berlin, Germany. We then reproduced the same scenario in the model and compared several channel parameters (delay spread, path gain, K-factor, geometry factor and capacity). The results match very well and we can accurately predict the performance for an urban macro-cell setup with commercial high-gain antennas. At the same time, the computational complexity does not increase significantly and we can use all existing WINNER parameter tables. These artificial channels, having equivalent characteristics as measured data, enable virtual field trials long before prototypes are available.
The main objective of this paper is to present major challenges regarding the fifth generation (5G) mobile communications propagation modelling work in the European 7th framework project METIS (Mobile and wireless communications Enablers for the Twenty-twenty Information Society). The goal of the propagation work in METIS is to provide adequate propagation models for 5G. For this purpose corresponding deficiencies of present commonly used models are identified. Further, the lack of available channel models for several propagation scenarios has been assessed. Based on this assessment the framework of 5G channel modelling is sketched. As propagation measurement campaigns are a crucial part of this work they are illustrated with a few examples
This article first identifies requirements of 5G radio propagation models for relevant propagation scenarios and link types derived from the analysis of recently discussed 5G visions and respective 5G technology trends. A literature survey reveals that none of the state-of-the-art propagation models such as WINNER/IMT-Advanced, COST 2100, and IEEE 802.11 fully satisfies the model requirements without significant extensions, and therefore there is room for a new framework of propagation models. We then present a novel map-based propagation model that satisfies the model requirements, and also introduce new extensions to existing stochastic models. Several open issues are finally identified that require further studies in 5G propagation modeling
The fourth industrial revolution, also referred to as Industrie 4.0, has triggered a number of research projects to improve communication systems for industrial environments. Wireless technologies for mission-critical machine-to-machine communication are expected to enable very efficient and highly flexible production processes. It is especially challenging for wireless interfaces to fulfill the required end-to-end latency and the reliability constraints of the automation industry. In order to design novel PHY and MAC schemes for ultra low delay, ultra reliable and deterministic transmission of data, e.g., through optimized pulse shaping, we study the indoor radio propagation in a representative factory automation cell where industrial robots are to be controlled. We performed channel measurements using a broadband channel sounder at 5.85 GHz carrier frequency. During the measurements, the robots were in motion and executed a typical pick-and-place process. From the recorded data we evaluate the channel characteristics and calculate relevant delay statistics. We distinguish two measurement series that differ in the scattering environment and present the derived parameters. Finally, we discuss the impact of our results on the design of new 5G waveforms for industrial radio systems
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