List-Decodability of Poisson Point Processes
Zhang, Yihan and Vatedka, Shashank (2022) List-Decodability of Poisson Point Processes. In: 2022 IEEE International Symposium on Information Theory, ISIT 2022, 26 June 2022 through 1 July 2022, Espoo.
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Abstract
We study the problem of high-dimensional multiple packing in Euclidean space. Multiple packing is a natural generalization of sphere packing and is defined as follows. Let N > 0 and L ∈ Z ≫ 2. A multiple packing is a set C of points in Rn such that any point in Rn lies in the intersection of at most L - 1 balls of radius √nN around points in C. Given a well-known connection with coding theory, multiple packings can be viewed as the Euclidean analog of list-decodable codes, which are well-studied for finite fields. In this paper, we exactly pin down the asymptotic density of (expurgated) Poisson Point Processes under a stronger notion called average-radius multiple packing. To this end, we apply tools from high-dimensional geometry and large deviation theory. This gives rise to the best known lower bound on the largest multiple packing density. Our result corrects a mistake in a previous paper by Blinovsky [Bli05]. © 2022 IEEE.
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Item Type: | Conference or Workshop Item (Paper) | ||||
Additional Information: | YZ has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 682203-ERC-[Inf-Speed-Tradeoff]. The work of SV was supported by a seed grant from IIT Hyderabad and SRG/2020/000910 by SERB (DST), India. 1We choose to stick with L ´ 1 rather than L for notational convenience. This is because in the proof, we need to examine the violation of pL ´ 1q-packing,? i.e., the existence of an L-sized subset that lies in a ball of radius nN. 2Logarithms to the base e are denoted by lnp¨q. | ||||
Uncontrolled Keywords: | Coding Theory; Euclidean; Euclidean spaces; High-dimensional; Higher-dimensional; List decodability; Multiple packings; Natural generalization; Poisson point process; Sphere packings | ||||
Subjects: | Electrical Engineering | ||||
Divisions: | Department of Electrical Engineering | ||||
Depositing User: | . LibTrainee 2021 | ||||
Date Deposited: | 02 Sep 2022 04:27 | ||||
Last Modified: | 02 Sep 2022 04:27 | ||||
URI: | http://raiithold.iith.ac.in/id/eprint/10384 | ||||
Publisher URL: | http://doi.org/10.1109/ISIT50566.2022.9834512 | ||||
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