Preben Mogensen

TL;DR: A simple stochastic MIMO model channel has been developed that uses the correlation matrices at the mobile station (MS) and base station (BS) so that results of the numerous single-input/multiple-output studies that have been published in the literature can be used as input parameters.

TL;DR: It is found that in typical urban environments the power azimuth spectrum (PAS) is accurately described by a Laplacian function, while a Gaussian PDF matches the Azimuth PDF.

TL;DR: An adjusted Shannon capacity formula is introduced, where it is shown that the bandwidth efficiency can be calculated based on system parameters, while the SNR efficiency is extracted from detailed link level studies.

TL;DR: The other major technology transformations that are likely to define 6G are discussed: cognitive spectrum sharing methods and new spectrum bands; the integration of localization and sensing capabilities into the system definition, the achievement of extreme performance requirements on latency and reliability; new network architecture paradigms involving sub-networks and RAN-Core convergence; and new security and privacy schemes.

TL;DR: A simple framework for Monte Carlo simulations of a multiple-input-multiple-output radio channel is proposed and it is demonstrated that the Shannon capacity of the channel is highly dependent on the considered environment.