Throughput-optimal Scheduling in Multi-hop Wireless Networks without Per-flow Information

Computer Science – Networking and Internet Architecture

Scientific paper

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Submitted to IEEE/ACM Transactions on Networking. A preliminary version of this work was presented at IEEE WiOpt 2011

Scientific paper

This paper focuses on designing throughput-optimal scheduling policies that avoid using per-flow or per-destination information, maintain a single data queue for each link, exploit only local information, for multi-hop wireless networks under general interference constraints. Although the celebrated back-pressure algorithm maximizes throughput, it requires per-flow or per-destination information (which may be difficult to obtain and maintain), maintains complex data structure at each node, relies on constant exchange of queue length information among neighboring nodes, and results in poor delay performance in certain scenarios. In contrast, the proposed schemes can circumvent these drawbacks while guaranteeing throughput optimality. We rigorously analyze the performance of the proposed schemes using fluid limit techniques via an inductive argument and show that they are throughput-optimal. We also conduct simulations to show that the proposed schemes can substantially improve the delay performance.

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