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artificial noise

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lightbulbAbout this topic
Artificial noise refers to sound signals generated by human-made sources, often used in various fields such as telecommunications, audio engineering, and environmental studies. It encompasses a range of frequencies and amplitudes, serving purposes like testing equipment, simulating real-world conditions, or masking unwanted sounds in various applications.
lightbulbAbout this topic
Artificial noise refers to sound signals generated by human-made sources, often used in various fields such as telecommunications, audio engineering, and environmental studies. It encompasses a range of frequencies and amplitudes, serving purposes like testing equipment, simulating real-world conditions, or masking unwanted sounds in various applications.

Key research themes

1. How can artificial noise be effectively utilized to enhance physical layer security in wireless communication systems?

This research theme investigates the role of artificially generated noise—such as jamming signals or artificial interference—in improving the secrecy and confidentiality of wireless communications at the physical layer. The focus lies on quantifying and optimizing secrecy performance metrics like secrecy outage probability and ergodic secrecy rate in scenarios where legitimate transmissions are subject to eavesdropping. Key challenges include designing noise that disrupts eavesdroppers without significantly impairing legitimate receivers, optimal power allocation between information signals and artificial noise, and evaluating impacts in advanced network architectures including RIS-aided, multi-hop, and NOMA-enabled systems.

Key finding: Demonstrated that incorporating a cooperative jammer emitting artificial noise in a dual-hop RIS-aided regenerative relaying system significantly reduces secrecy intercept probability (IP), achieving an IP as low as 10^−4... Read more
Key finding: Derived closed-form approximate expressions for secrecy outage probability (SOP) in RIS-aided wireless systems enhanced with friendly jamming, and proposed an optimal transmit and jamming power allocation scheme minimizing... Read more
Key finding: Analyzed ergodic secrecy rates in large-scale K-tier heterogeneous networks employing non-orthogonal multiple access (NOMA) with randomly distributed eavesdroppers. The work derived lower bounds on secrecy rates and revealed... Read more

2. What are the methodological innovations for generating, designing, and applying artificial noise and reverberation for audio and signal processing?

This theme addresses the computational and algorithmic development of artificial noise generation and reverberation modeling, particularly for applications in audio signal processing and noise mitigation. It encompasses innovative techniques such as genetic algorithms for synthesizing room impulse responses, psychoacoustically motivated designs for active noise control (ANC) that factor in human hearing perception, and optimization frameworks to create energy-efficient noise for protecting cryptographic devices. The focus is on generating artificial noise or reverberation that meets specific acoustic or security performance criteria while optimizing resource use and system robustness.

Key finding: Introduced a Genetic Algorithm (GA)-based method to create synthetic Room Impulse Responses (RIRs) for real-time convolution reverberation, allowing user control over acoustic parameters like reverberation time and clarity.... Read more
Key finding: Proposed a novel remote ANC system that incorporates psychoacoustic weighting filters into the Filtered-x Least Mean Square (FxLMS) algorithm to optimize noise cancellation at locations different from the error microphone. By... Read more
Key finding: Developed an energy-efficient artificial noise generation framework optimized against power consumption-based side-channel attacks on cryptographic devices by leveraging signal sparsity and compression models. The paper... Read more

3. How does artificial noise and anthropogenic noise influence biological systems and human experience?

This research area explores the effects and perception of artificial and environmental noise on living organisms and human auditory processes. It spans behavioral impacts of anthropogenic noise across sensory modalities, psychoacoustic phenomena related to auditory illusions, and the philosophical contemplation of noise as a human experience. The focus includes behavioral experiments revealing cross-modal noise effects in animals, psychophysical characterizations of complex sound perception revealing auditory system nonlinearities, and the cultural and phenomenological dimensions of noise's ubiquity and meaning.

Key finding: Demonstrated that exposure to anthropogenic noise induces behavioral changes not only in species relying on acoustic signals but also in those using non-acoustic sensory modalities. Experimental evidence with common... Read more
Key finding: Reviewed and elucidated multiple complex auditory illusions—such as the octave illusion, scale illusion, and glissando illusion—that reveal the auditory system's non-veridical processing of sound. These phenomena illustrate... Read more
Key finding: Provided a multidisciplinary philosophical overview highlighting that noise is simultaneously a ubiquitous scientific phenomenon and a complex cultural and experiential concept. It emphasizes the challenges in correlating... Read more

All papers in artificial noise

by Xia Lei and 
1 more
Recently, stacked intelligent metasurfaces (SIMs) have aroused widespread discussions as an innovative technology for directly processing electromagnetic (EM) wave signals. By stacking multiple programmable metasurface layers, an SIM has... more
We deeply explore the physical layer security of simultaneous wireless information and power transfer (SWIPT) network which uses the cooperative non-orthogonal multiple access (NOMA) technique in this paper. A novel cooperative NOMA... more
Background: Visible Light Communication (VLC) has emerged as a promising alternative to radio frequency (RF) communication, providing high data rates, enhanced security, and cost-efficient deployment using existing lighting... more
Throughout this study, a novel network model for massive machine-type communications (mMTC) is proposed using a compressive sensing (CS) algorithm and a non-orthogonal multiple access (NOMA) scheme. Further, physical-layer security (PLS)... more
This paper presents the security evaluation, energy consumption optimization, and spectrum scarcity analysis of artificial noise techniques to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSNs). These... more
This paper investigates the throughput and outage probability (OP) of ratesplitting multiple access (RSMA) in satellite-terrestrial communication networks. By dividing user messages into common and private parts, RSMA enhances spectral... more
In this paper, the K-user interference channel with secrecy constraints is considered with delayed channel state information at transmitters (CSIT). We propose a novel secure retrospective interference alignment scheme in which the... more