Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks
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.
Cite
@article{arxiv.2401.16952,
title = {Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks},
author = {Pedro Suárez-Casal and Óscar Fresnedo and Darian Pérez-Adán and Luis Castedo},
journal= {arXiv preprint arXiv:2401.16952},
year = {2024}
}