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In large-scale wireless networks, a fundamental question is how much information one source node can transmit to a destination in the presence of other simultaneous transmissions when the number of nodes grows large. In their seminal paper, Gupta and Kumar investigate the network layer throughput, or the capacity, of large-scale wireless networks. They study the scaling behavior of the throughput in static random wireless networks, where the network has n stationary nodes distributed in a unit disk. Every node serves simultaneously as a source for a randomly chosen destination, as a destination for another source, as well as a relay for all other Source-Destination (S-D) pairs.
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