Cognitive dynamic systems: A review of theory, applications, and recent advances
The field of cognitive dynamic systems (CDSs) is an emerging area of research, whereby
engineering learns from neuroscience. Under this framework, engineering systems are …
engineering learns from neuroscience. Under this framework, engineering systems are …
Deep neural networks for spectrum sensing: a review
As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …
Cooperative spectrum sensing in cognitive radio networks using machine learning techniques
RG Nair, K Narayanan - Applied Nanoscience, 2023 - Springer
For effective utilization of the available spectrum and for preventing the channel interference
among the users the sensing of the availability of spectrum becomes an essential task in …
among the users the sensing of the availability of spectrum becomes an essential task in …
Qualitative survey on artificial intelligence integrated blockchain approach for 6G and beyond
Utilizing the 0.1 to 10 THz spectrum in the next-generation wireless communication networks
holds potential for futuristic applications. However, managing resources to accommodate …
holds potential for futuristic applications. However, managing resources to accommodate …
Meta reinforcement learning-based spectrum sharing between RIS-assisted cellular communications and MIMO radar
New wireless networks together with fixed spectrum allocation have resulted in spectrum
paucity, which has led to the idea of spectrum sharing between radar and communication …
paucity, which has led to the idea of spectrum sharing between radar and communication …
Hierarchical cooperative LSTM-based spectrum sensing
In this letter, we design a hierarchical cooperative long short-term memory (LSTM) network-
based cooperative spectrum sensing (CSS) method which utilizes convolutional neural …
based cooperative spectrum sensing (CSS) method which utilizes convolutional neural …
AERIQ: SDR-based LTE I/Q measurement and analysis framework for air-to-ground propagation modeling
In this paper, we introduce AERIQ: a software-defined radio (SDR) based I/Q measurement
and analysis framework for wireless signals for aerial experimentation. AERIQ is integrated …
and analysis framework for wireless signals for aerial experimentation. AERIQ is integrated …
Extreme learning machine based identification of malicious users for secure cooperative spectrum sensing in cognitive radio networks
MK Giri, S Majumder - Wireless Personal Communications, 2023 - Springer
Cognitive radio (CR) technology has evolved over the traditional radio to successfully utilize
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …
[HTML][HTML] A Review on Congestion Mitigation Techniques in Ultra-Dense Wireless Sensor Networks: State-of-the-Art Future Emerging Artificial Intelligence-Based …
The Internet of Things (IoT) and wireless sensor networks (WSNs) have evolved rapidly due
to technological breakthroughs. WSNs generate high traffic due to the growing number of …
to technological breakthroughs. WSNs generate high traffic due to the growing number of …
On eigenvalue-based cooperative spectrum sensing using feature extraction and maximum entropy fuzzy clustering
MK Giri, S Majumder - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
This article explores the scope of feature extraction and maximum entropy-based fuzzy
clustering (MEFC) on eigenvalue-based cooperative spectrum sensing (CSS). The sensed …
clustering (MEFC) on eigenvalue-based cooperative spectrum sensing (CSS). The sensed …