Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929228688130048 |
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| author | Suárez-Casal, Pedro Fresnedo, Óscar Pérez-Adán, Darian Castedo, Luis |
| author_facet | Suárez-Casal, Pedro Fresnedo, Óscar Pérez-Adán, Darian Castedo, Luis |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_16952 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks Suárez-Casal, Pedro Fresnedo, Óscar Pérez-Adán, Darian Castedo, Luis Information Theory 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. |
| title | Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks |
| topic | Information Theory |
| url | https://arxiv.org/abs/2401.16952 |