1 research outputs found
Ray-of-Arrival Passing for Indirect Beam Training in Cooperative Millimeter Wave MIMO Networks
This paper is concerned with the channel estimation problem in multi-cell
Millimeter (mmWave) wireless systems. We develop a novel Ray-of-Arrival Passing
for Indirect (RAPID) Beam Training framework, in which a network consisting of
multiple BS are able to work cooperatively to estimate jointly the UE channels.
To achieve this aim, we consider the spatial geometry of the mmWave environment
and transform conventional angular domain beamforming concepts into the more
euclidean, Ray-based domain. Leveraging this model, we then consider the
conditional probabilities that pilot signals are received in each direction,
given that the deployment of each BS is known to the network. Simulation
results show that RAPID is able to improve the average estimation of the
network and significantly increase the rate of poorer quality links.
Furthermore, we also show that, when a coverage rate threshold is considered,
RAPID is able to improve greatly the probability that multiple link options
will be available to a user at any given time