In the rapidly evolving landscape of wireless communication, the scarcity of the frequency spectrum has become a pressing challenge. As demand for wireless services surges, traditional methods of spectrum management are proving inadequate. Researcher
Cognitive Radio Networks: A Collaborative Leap in Spectrum Management Read More »
In an era where social media has become a primary source of political news and information, a recent study sheds light on the worrying trend of disinformation campaigns targeting US military personnel and veterans. The research, conducted by John D.
Military Targeted: Social Media Disinformation Campaigns Exposed Read More »
In the ever-evolving landscape of social media influence, a new study sheds light on the significant role that defence veterans play in shaping political discourse, particularly in the context of India. The research, titled “Closed Ranks: The Discurs
Defence Veterans Shaping India’s Political Narratives Online Read More »
In the rapidly evolving landscape of wireless communication, the ability to automatically identify signals is becoming increasingly critical. This capability is essential for applications ranging from software-defined radio and cognitive radio to spe
Revolutionary Algorithm Advances MIMO Signal Identification Read More »
Researchers Yu Liu and Fanggang Wang, affiliated with the University of Electronic Science and Technology of China, have developed a groundbreaking blind receiver system that promises to revolutionize signal processing in both civilian and military a
China’s BERD Receiver: A Leap in Signal Processing Tech Read More »
Researchers Anu Jagannath and Jithin Jagannath, affiliated with the University of Texas at Austin, have developed a groundbreaking low-cost, hand-held device designed to detect and localize radio frequency interference (RFI). Their innovation, dubbed
UT Austin’s Jam-Guard: A Game-Changer in RFI Detection Read More »
Researchers from Carleton University in Ottawa, Canada, have proposed a novel communication model that combines cognitive radio (CR) and free-space optical (FSO) technologies to enhance aerial relay networks. The team, led by Eylem Erdogan, Ibrahim A
Carleton Researchers Revolutionize Aerial Communication Read More »
Researchers from the University of Sheffield and the University of Bristol have developed a novel approach to optimise the positioning of unmanned aerial vehicles (UAVs) for received signal strength (RSS)-based passive localisation, addressing real-w
Sheffield and Bristol Optimize Drone Swarms for Precision Localization Read More »
Researchers from the University of Granada, led by A. M. Mora and J. J. Merelo, have developed a novel algorithm designed to optimize military unit pathfinding in simulated battlefield environments. Their work, titled “CHAC: A MOACO Algorithm for Com
Ant-Inspired Algorithm Revolutionizes Military Pathfinding Read More »
Researchers from North Carolina State University, led by Hyeokjun Kwon, Sung Joon Maeng, and Ismail Guvenc, have developed a simulator that enhances the accuracy of radio frequency (RF) signal source search and localization (SSSL) using autonomous un
