Topology Optimization for Wireless Backhaul Networks Using Non-Analytical Methods

Abstract: methods and systems for optimizing topology of a wireless backhaul communication network are disclosed. the network comprises a plurality of nodes. each node reports load type information, indicative of data generation requirements of connected devices, and link quality information, indicative of communication link quality with neighboring nodes, to a controller. due to the large number of possible network topologies, which precludes exhaustive evaluation, a non-analytical shortcut process is used to generate a subset of candidate network topologies. this process identifies candidate topologies based on the received load type and link quality information. the network is configured according to a selected topology from the subset, and its actual performance is measured. if performance is unsatisfactory, the network is reconfigured using another topology from the subset. the non-analytical shortcut process may utilize an ai model, a heuristic algorithm, or a combination thereof. a method of training such ai model is also presented.

Inventor(s): Pinchas Ziv, Daniel Fichman, Gal Zuckerman, Tamir Lior Shmuel Gez

CPC Classification: H04W24/10 (Scheduling measurement reports {; Arrangements for measurement reports})

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