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Coverage probability in wireless networks with determinantal scheduling

Bartłomiej Błaszczyszyn 1 Antoine Brochard 1, 2 H. Paul Keeler 3
1 DYOGENE - Dynamics of Geometric Networks
Inria de Paris, CNRS - Centre National de la Recherche Scientifique : UMR 8548, DI-ENS - Département d'informatique de l'École normale supérieure
Abstract : We propose a new class of algorithms for randomly scheduling network transmissions. The idea is to use (discrete) determinantal point processes (subsets) to randomly assign medium access to various {\em repulsive} subsets of potential transmitters. This approach can be seen as a natural extension of (spatial) Aloha, which schedules transmissions independently. Under a general path loss model and Rayleigh fading, we show that, similarly to Aloha, they are also subject to elegant analysis of the coverage probabilities and transmission attempts (also known as local delay). This is mainly due to the explicit, determinantal form of the conditional (Palm) distribution and closed-form expressions for the Laplace functional of determinantal processes. Interestingly, the derived performance characteristics of the network are amenable to various optimizations of the scheduling parameters, which are determinantal kernels, allowing the use of techniques developed for statistical learning with determinantal processes. Well-established sampling algorithms for determinantal processes can be used to cope with implementation issues, which is is beyond the scope of this paper, but it creates paths for further research.
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https://hal.inria.fr/hal-03001399
Contributor : Bartlomiej Blaszczyszyn <>
Submitted on : Thursday, November 12, 2020 - 1:09:25 PM
Last modification on : Tuesday, November 17, 2020 - 9:34:05 AM

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  • HAL Id : hal-03001399, version 1
  • ARXIV : 2006.05038

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Bartłomiej Błaszczyszyn, Antoine Brochard, H. Paul Keeler. Coverage probability in wireless networks with determinantal scheduling. WiOPT 2020 - 18th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, Jun 2020, Volos / Virtual, Greece. ⟨hal-03001399⟩

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