Blinq Wireless Inc.

Sorin Alexandru Michnea

Ho Ting Cheng

Taiwen Tang

Radu Bogdan Selea

Terasan Niyomsataya

Akram Bin Sediq

Xiaochang Wu

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.

System and method for coordinating hub-beam selection in fixed wireless backhaul networks

A system and method for downlink power optimization in a partitioned wireless backhaul network with out-of-neighborhood utility evaluation is disclosed. The method comprises performing initial downlink power optimization for each neighborhood independently, considering only in-neighborhood utilities, by obtaining the transmit powers of all hubs and a utility performance of all served remote backhaul modules (RBMs) in the neighborhood. Power optimization data for each neighborhood are then reported to a central processing unit for storage. Thereafter, for each neighborhood, an out-of-neighborhood utility evaluation is performed by the centralized processing unit, based on reported power optimization data from other neighborhoods, for example, by obtaining delta out-of-neighborhood sum utilities for each hub as a function of hub transmit power, by curve fitting of reported data. Power optimization for each neighborhood is then performed by optimizing both in-neighborhood sum utilities and out-of-neighborhood sum utilities, and hub transmit powers are updated accordingly.

System and method for downlink power optimization in a partitioned wireless backhaul network with out-of-neighborhood utility evaluation

Growing community of inventors

Nepean, Canada

Sorin Alexandru Michnea