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Modeling distributed beamforming in wireless networks

Authors: Kery Hardwick; Dennis Goeckel; Don Towsley;

Modeling distributed beamforming in wireless networks

Abstract

Distributed beamforming in wireless ad hoc networks has the promise of greatly improving network throughput. However, unlike traditional beamforming from a fixed array, the random locations of the nodes collaborating to form the array lead to a random beam pattern. In particular, the position and size of side lobes can vary greatly and have a significant impact on the concurrent transmissions that are the source of much of the throughput gain realized from distributed beamforming. Here, we present a simple model that captures this randomness and then use the model to consider the average throughput of a large ad hoc wireless networks. Numerical results are compared to those obtained if one employs the oft-used pie-wedge approximation for a directed antenna beam, and the difference is shown to be significant in regions where the side lobe interference is non-negligible.

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United States
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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