Low Complexity Multi-Layer Optimization for Multi-Hop Wireless Networks

The authors design a low-complexity solution to multi-layer optimization in multi-hop wireless networks with throughput objectives. Considering channel sensing and power control at the physical layer, they formulate resource allocation as a non-convex throughput optimization problem that allows distributed implementation. They develop a genetic algorithm to solve this physical layer problem with local information only and then formulate a localized back-pressure algorithm to make routing, scheduling, and frequency band assignments at the link and network layers along with physical-layer considerations.

Provided by: Virginia Systems Topic: Networking Date Added: Apr 2012 Format: PDF

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