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Cross-layer optimization including congestion control, routing, and scheduling has shown dramatic throughput improvement over layered designs for wireless networks. In parallel, the paradigm-shifting network coding has empirically demonstrated substantial throughput improvement when coding operations are permitted at intermediate nodes and packets from different sessions are mixed. Designing network codes and the associated flow in network coding presents new challenges for cross-layer optimization for wireless multi-hop networks. This paper shows that with a new flow-based characterization of pair-wise intersession network coding, a joint optimal scheduling and rate-control algorithm can be implemented distributively.
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