Throughput-optimal scheduling in multihop wireless networks without per-flow information

Bo Ji, Changhee Joo, Ness B. Shroff

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


In this paper, we consider the problem of link scheduling in multihop wireless networks under general interference constraints. Our goal is to design scheduling schemes that do not use per-flow or per-destination information, maintain a single data queue for each link, and exploit only local information, while guaranteeing throughput optimality. Although the celebrated back-pressure algorithm maximizes throughput, it requires per-flow or per-destination information. It is usually difficult to obtain and maintain this type of information, especially in large networks, where there are numerous flows. Also, the back-pressure algorithm maintains a complex data structure at each node, keeps exchanging queue-length information among neighboring nodes, and commonly results in poor delay performance. In this paper, we propose scheduling schemes that can circumvent these drawbacks and guarantee throughput optimality. These schemes use either the readily available hop-count information or only the local information for each link. 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 validate our theoretical results in various settings and show that the proposed schemes can substantially improve the delay performance in most scenarios.

Original languageEnglish
Article number6237558
Pages (from-to)634-647
Number of pages14
JournalIEEE/ACM Transactions on Networking
Issue number2
Publication statusPublished - 2013
Externally publishedYes


  • Fluid limit tecniques
  • multihop wireless networks
  • per-hop/per-link queues
  • scheduling
  • throughput-optimal
  • without per-flow information

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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