Distributed Low-Complexity Maximum-Throughput Scheduling for Wireless Backhaul Networks

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Title: Distributed Low-Complexity Maximum-Throughput Scheduling for Wireless Backhaul Networks
Author: Kabbani, Abdul; Salonidis, Theodoros; Knightly, Edward
Type: Report
Keywords: Wireless networks; Scheduling; Graph Theory; Distributed MAC protocols
Citation: A. Kabbani, T. Salonidis and E. Knightly, "Distributed Low-Complexity Maximum-Throughput Scheduling for Wireless Backhaul Networks," IEEE INFOCOM, 2006.
Abstract: We introduce a low-complexity distributed slotted MAC protocol that can support all feasible arrival rates in a wireless backhaul network (WBN). For arbitrary wireless networks, such a maximum throughput protocol has been notoriously hard to realize because (i) even if global topology information is available, the problem of computing the optimal link transmission set at each slot is NP-complete (ii) no bounds exist on the number of steps required for such a computation (per-slot overhead). For the logical tree structures induced by the WBN traffic matrices, we first introduce a centralized algorithm that solves the optimal scheduling problem in a number of steps at most linear in the number of nodes in the network. This is achieved by discovering and exploiting a novel set of graph-theoretical properties of the WBN contention graph. Guided by the centralized algorithm, we design a distributed protocol where, at the beginning of each slot, nodes coordinate and incrementally compute the optimal link transmission set. We then introduce an algorithm to compute the minimum number of steps to complete this computation, thus minimizing the per-slot overhead. Using both analysis and simulations, we show that in practice our protocol yields low overhead when implemented over existing wireless technologies and significantly outperforms existing suboptimal distributed slotted scheduling mechanisms.
Date Published: 2006-08-01

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  • ECE Publications [1048 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students