Erik G. Larsson

TL;DR: Beam management for downlink and uplink transmissions is introduced as well as how the NR standard support reciprocity-based operation targeting multiple user multiple-input, multiple-output operation, using either advanced channel feedback or direct channel reciprocity.

TL;DR: It is shown that the proposed blind channel estimation method can substantially outperform the case where each user has only statistical channel knowledge, and that the difference in performance is particularly large in certain types of channel, most notably keyhole channels.

TL;DR: This work studies the maximum a posteriori probability model order selection algorithm for linear regression models, assuming Gaussian distributed noise and coefficient vectors, and derives "empirical Bayesian" versions of the algorithms, which require little or no information from the user.

TL;DR: Simulation results show that with the optimized feedback, the MI model can predict well the optimal amount of information that needs to be forwarded by the relay node, and that the two proposed schemes can substantially increase the spectral efficiency.

TL;DR: In this article, the authors propose a method for detecting channel-hardened data transmission by measuring a signal level for each of a predetermined plurality of distinct time-frequency transmission resources within a first time interval, non-coherently summing the measured signal levels, and comparing the sum to at least a first threshold to determine whether a channelhardened signal targeted to the wireless receiver is present.