Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks
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Lattice-Based Analog Mappings for Low-Latency Wireless Sensor NetworksDate
2023-10-01Citation
P. Suárez-Casal, Ó. Fresnedo, D. Pérez-Adán and L. Castedo, "Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks," in IEEE Internet of Things Journal, vol. 10, no. 19, pp. 17137-17154, 1 Oct.1, 2023, doi: 10.1109/JIOT.2023.3273194.
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https://doi.org/10.1109/JIOT.2023.3273194
Abstract
[Abstract]: We consider the transmission of spatially correlated analog information in a wireless sensor network (WSN) through fading single-input and multiple-output (SIMO) multiple access channels (MACs) with low-latency requirements. A lattice-based analog joint source-channel coding (JSCC) approach is considered where vectors of consecutive source symbols are encoded at each sensor using an n -dimensional lattice and then transmitted to a multiantenna central node. We derive a minimum mean square error (MMSE) decoder that accounts for both the multidimensional structure of the encoding lattices and the spatial correlation. In addition, a sphere decoder is considered to simplify the required searches over the multidimensional lattices. Different lattice-based mappings are approached and the impact of their size and density on performance and latency is analyzed. Results show that, while meeting low-latency constraints, lattice-based analog JSCC provides performance gains and higher reliability with respect to the state-of-the-art JSCC schemes.
Keywords
Lattices
Low-latency transmission
Minimum20 mean square error (MMSE) estimation
Source correlation
21 source-channel coding
Wireless sensor networks (WSNAs)
Low-latency transmission
Minimum20 mean square error (MMSE) estimation
Source correlation
21 source-channel coding
Wireless sensor networks (WSNAs)
Description
© 2023 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/JIOT.2023.3273194.
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© 2023 IEEE. All rights reserved. Todos os dereitos reservados.
ISSN
2327-4662