Optimal backpressure routing for wireless networks with multi-receiver diversity

  • Authors:
  • Michael J. Neely;Rahul Urgaonkar

  • Affiliations:
  • Department of Electrical Engineering, University of Southern California, 3740, McClintock Avenue, Room 520, Los Angeles, CA 90089, United States;Department of Electrical Engineering, University of Southern California, 3740, McClintock Avenue, Room 520, Los Angeles, CA 90089, United States

  • Venue:
  • Ad Hoc Networks
  • Year:
  • 2009

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Abstract

We consider the problem of optimal scheduling and routing in an ad-hoc wireless network with multiple traffic streams and time varying channel reliability. Each packet transmission can be overheard by a subset of receiver nodes, with a transmission success probability that may vary from receiver to receiver and may also vary with time. We develop a simple backpressure routing algorithm that maximizes network throughput and expends an average power that can be pushed arbitrarily close to the minimum average power required for network stability, with a corresponding tradeoff in network delay. When channels are orthogonal, the algorithm can be implemented in a distributed manner using only local link error probability information, and supports a ''blind transmission'' mode (where error probabilities are not required) in special cases when the power metric is neglected and when there is only a single destination for all traffic streams. For networks with general inter-channel interference, we present a distributed algorithm with constant-factor optimality guarantees.