10 papers
Trellis-Based Noise Modulation with Soft-Decision Viterbi Detection
Razieh Torkamani, Hadi Zayyani, Mohammad Salman +2
Noise modulation conveys information through the statistical properties of noise rather than conventional deterministic signal parameters. This paper investigates a trellis-based n…
Fluid Antenna Multiple Access for Noise Modulation
Hadi Zayyani, Felipe A. P. de Figueiredo
Noise modulation (NoiseMod) encodes information in the variance of a noise-like waveform. Its noncoherent structure enables low-complexity links, but co-channel users are challengi…
Fluid Antenna-Aided Noise Modulation: Spatial Diversity for Variance-Based Wireless Communication
Hadi Zayyani, Felipe A. P. de Figueiredo, Pedro M. R. Pereira +2
Noise modulation (NoiseMod) encodes information in the \emph{variance} of a transmitted noise-like waveform rather than in its amplitude, phase, or frequency, and is attractive for…
Performance Limits of FRIS Systems in Nakagami- Fading
Masoud Khazaee, Felipe A. P. de Figueiredo, Rausley A. A. de Souza +4
Fluid reconfigurable intelligent surfaces (FRIS) have recently emerged as a promising technology for enhancing wireless link reliability through spatial decorrelation. However, the…
Fast-TurboQuant: A Multiplier-Free Online Vector Quantization Approach
Pedro M. R. Pereira, Felipe A. P. de Figueiredo, Rausley A. A. de Souza
As large language models scale, memory bandwidth for key-value caches and retrieval-augmented generation systems becomes a critical bottleneck. While 1-bit quantization addresses t…
Evaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset
Wiliane Carolina Silva, Evandro César Vilas Boas, Felipe A. P. de Figueiredo
This work investigates the impact of severe class imbalance on the performance of automated machine learning (AutoML) frameworks for multiclass network intrusion detection using th…
A Double Proportionate Sparse Adaptive Filter for Impulsive Noise Environments
Mohammad Salman, Falah Ibrahim Al Hassan, Hadi Zayyani +2
Sparse adaptive filters and impulsive noise robust algorithms have largely been developed along separate tracks, leaving a gap when both properties are needed simultaneously. This…
On the Practical Performance of Noise Modulation for Ultra-Low-Power IoT: Limitations, Capacity, and Energy Trade-offs
Felipe A. P. de Figueiredo, Pedro M. R. Pereira, Evandro C. Vilas Boas +3
Ultra-low-power (ULP) Internet of Things (IoT) applications demand communication architectures with minimal energy consumption. Noise Modulation (NoiseMod) addresses this by encodi…
Dual-Domain Sparse Adaptive Filtering: Exploiting Error Memory for Improved Performance
Mohammad Salman, Hadi Zayyani, Felipe A. P. de Figueiredo +2
Many signal processing applications such as acoustic echo cancellation and wireless channel estimation require identifying systems where only a small fraction of coefficients are a…
Optimal Bit Detection in Thermal Noise Communication Systems Under Rician Fading
Mohamed El Jbari, Fernando D. A. García, Hugerles S. Silva +2
Thermal noise communication (TNC) enables ultra-low-power wireless links for Internet of Things (IoT) devices by modulating the variance of thermal noise, rather than using active…