Many decoders of error-correcting codes use the Log-Likelihood Ratio (LLR) as an input,
which involves the probability density function (pdf) of the noise. In impulsive noise, the pdf …

The rapid expansion of Internet of Things (IoT) networks has paved the way for their
integration into mission-critical applications requiring secure and reliable monitoring, such …

Impulsive noise, where large amplitudes arise with a relatively high probability, arises in
many communication systems including interference in Low Power Wide Area Networks. A …

Future networks will become more dense and heterogeneous due to the inevitable increase
in the number of communicated devices and the coexistence of numerous independent …

In this paper, we derive an analytical expression for the bit error probability of a multi-
threshold (MTh) detector in the downlink three-user non-orthogonal multiple access (NOMA) …

A wide range of communication systems are corrupted by non-Gaussian noise, ranging from
wireless to power line. In some cases, including interference in uncoordinated OFDM-based …

In environments characterized by impulsive noise, the probability density function (pdf) of
noise is inaccessible in closed form and can only be obtained through complex numerical …

In environments characterized by impulsive noise, such as Symmetric-α-Stable (SαS)
channels, the channel parameters α and γ need to be fixed to approximate the Log …

This paper presents a joint estimation and decoding algorithm for decoding over different
impulsive noise in practical use, as the state of most impulsive noise changes rapidly in the …

This deliverable presents an initial description of the radio resource management (RRM)
solutions for dense in-X subnetworks studied in 6G-SHINE, including preliminary results …