Systems, methods, devices, and computer program products for control and performance prediction in wireless networks

摘要

Systems, methods, devices, and computer program products are directed to mobility control and performance prediction in directional wireless networks. Network coverage and connectivity are optimized. Convex and non-convex network modeling is implemented to provide adaptive topology control and mobility control within the network, whereby communication links are retained, released, or reconfigured based on their communication role within the network architecture. Optionally or alternatively, network health is monitored, future network failure or degradation conditions are predicted, and the network reconfigures responsive to the predictions to avoid the failure or degradation conditions.

主权项

1. A mobility control and link-failure prediction method implemented in a dynamic, heterogeneous, directional wireless backbone (DWB)-based communication network having multiple tiers of nodes for providing access to the communication network including end-user nodes and movable backbone nodes, the method comprising:
forming a plurality of wireless communication links between the end-user nodes and the backbone nodes and between the backbone nodes, respective backbone to backbone wireless communication links being directional wireless transmissions and characterized as high priority network communication links, and respective backbone to end-user wireless communication links being characterized as low priority network communication links, at least one of the backbone to end-user wireless communication links being of a different transmission form than at least one of the backbone to backbone wireless links; automatically moving the backbone nodes in relation to corresponding end-user nodes, said moving being based on a convex model for the high priority network communication links and a non-convex model for the low priority network communication links; predicting network link failures or degradation by tracking normal mode frequencies obtained from a matrix analysis as the backbone and end-user nodes move, and/or by tracking movement of the nodes within a global potential energy space; and responsive to said predicting network link failures or degradation, reconfiguring the network before occurrence of any predicted network link failures or degradation so as to avoid or mitigate the effects of any predicted network link failures or degradation, wherein said automatically moving the backbone nodes and said predicting network link failures or degradation are performed in parallel.