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Random Access Transport Capacity

Abstract : We develop a new metric for quantifying end-to-end throughput in multihop wireless networks, which we term random access transport capacity, since the interference model presumes uncoordinated transmissions. The metric quantifies the average maximum rate of successful end-to-end transmissions, multiplied by the communication distance, and normalized by the network area. We show that a simple upper bound on this quantity is computable in closed-form in terms of key network parameters when the number of retransmissions is not restricted and the hops are assumed to be equally spaced on a line between the source and destination. We also derive the optimum number of hops and optimal per hop success probability and show that our result follows the well-known square root scaling law while providing exact expressions for the preconstants, which contain most of the design-relevant network parameters. Numerical results demonstrate that the upper bound is accurate for the purpose of determining the optimal hop count and success (or outage) probability.
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Submitted on : Tuesday, October 19, 2010 - 3:48:49 PM
Last modification on : Thursday, February 7, 2019 - 4:22:48 PM

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J.G. Andrews, S. Weber, Marios Kountouris, M. Haenggi. Random Access Transport Capacity. IEEE Transactions on Wireless Communications, Institute of Electrical and Electronics Engineers, 2010, 9 (6), pp.2101-2111. ⟨10.1109/TWC.2010.06.091432⟩. ⟨hal-00527558⟩



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