Lattice-Based Analog Mappings for Low-Latency Wireless Sensor Networks

Author:

Pedro Suárez-Casal, Óscar Fresnedo, Darian Pérez-Adán, Luis Castedo

Keyword:

Computer Science, Information Theory, Information Theory (cs.IT)

journal:

IEEE Internet of Things Journal, vol. 10, n.o 19, pp. 17137-17154, Oct 2023

date:

2024-01-30 00:00:00

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.

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