Abstract: According to an aspect, a method in the radio head comprises receiving a reference signal from a terminal device, and computing a channel estimate on the basis of the reference signal and transferring the channel estimate with a first precision level to the network node over a link between the radio head and the network node. The first precision level defines a first number of bits carrying the channel estimate, then the method determines to change the precision level and, in response to the determining, transfers the channel estimate or a further channel estimate with a second precision level to the network node. The second precision level defines a second number of bits carrying the channel estimate or the further channel estimate, the second number being different from the first number.

Abstract: An apparatus (60) for a base station (10) comprising an antenna system (11) for transmitting a radio signal with devices (30) located in a beam (12) associated with said antenna system (11); said apparatus comprising detecting means (20) configured to timely capture a dated image of a geographical zone (22) at least partly covering said beam (12); processing means (61) configured to determine at least an object (50) corresponding to said devices (30) within said image and properties of said objects, including at least one property representing the visibility of said object in said dated image; control means (62) configured to adapt the radio connection serving said device (30), according to said at least one property.

Abstract: According to an aspect, there is provided a network node comprising means for performing the following. Initially, a trained machine learning algorithm for predicting a probability of failed delivery of data packets based on measurements is maintained in a database. The network node performs, for each of its wireless communication links, the following. The network node causes performing measurements relating to a first wireless communication link to form a measurement data set and predicts, using the trained machine learning algorithm and the measurement data set, a probability of failed delivery of a data packet over the first wireless communication link. The network node determines whether the probability of failed delivery of the data packet exceeds a threshold. If it does, the network node transmits to a first receiver the data packet over the first wireless communication link and one of a copy of the data packet and redundancy data.