Abstract: Systems and methods are disclosed for coordinating hub-beam selection in wireless backhaul networks and optionally, for joint hub-beam selection and slot assignment. Data indicative of path loss is measured or estimated for each of a set of RBMs and for each hub-beam of a respective multi-beam serving hub. A performance metric is computed, and hub-beam selection is made based on optimizing the performance metric across the set of RBMs. A serving hub may use reserved frames to train an RBM on each hub-beam and communicate beam selections, e.g. based on minimizing path loss on a per-cell or per-sector basis, or maximizing a sum-utility function for improved performance over a neighborhood of the network. A beam assignment map may be shared amongst serving hubs. A weight table of good and bad beam combinations may be generated to evaluate the cost of a hub-beam combination, for joint hub-beam selection and slot assignment.

Abstract: Systems and methods are disclosed for coordinating hub-beam selection in wireless backhaul networks and optionally, for joint hub-beam selection and slot assignment. Data indicative of path loss is measured or estimated for each of a set of RBMs and for each hub-beam of a respective multi-beam serving hub. A performance metric is computed, and hub-beam selection is made based on optimizing the performance metric across the set of RBMs. A serving hub may use reserved frames to train an RBM on each hub-beam and communicate beam selections, e.g. based on minimizing path loss on a per-cell or per-sector basis, or maximizing a sum-utility function for improved performance over a neighborhood of the network. A beam assignment map may be shared amongst serving hubs. A weight table of good and bad beam combinations may be generated to evaluate the cost of a hub-beam combination, for joint hub-beam selection and slot assignment.