Welcome to our new graduate student, Ibrahim Pehlivan, and our new visiting scholar, Hazem Sallouha from KU Leuven!
Cognitive Reconfigurable Embedded Systems Lab
Cognitive Reconfigurable Embedded Systems Lab is a unique research entity within UCLA, which focuses on research in Cognitive Radio and Cognitive Radio-like systems. We are interested in all modern radio technologies, with the emphasis on systems that enable more efficient utilization of spectrum. Our group headed by Prof. Danijela Čabrić is a vibrant and young group of graduate students, international visitors and researchers.
Congratulations to Samer Hanna for winning the Best PhD Dissertation Research Award in Signals & Systems!
CORES Lab releases the WiSig dataset!
Welcome to our new graduate student, Manali Sharma, and our new postdoc, Shamik Sarkar!
Congratulations to Han Yan for winning the Best PhD Dissertation Research Award in Signals & Systems!
Congratulations to Enes Krijestorac for securing the 1st place in the Ph.D. Preliminary Examination (Signals & Systems track)!
CORES lab receives a new NSF award for Circuits and Systems Design for UAV Swarm Enabled Communications.
Congratulations to Ghaith Hattab on defending his Ph.D. thesis!
CORES lab focuses on advances in radio hardware, signal processing, machine learning, sensing, communications, network protocols, and system architectures to enable future wireless networks. Our vision is that wireless networks require fundamentally new approaches to spectrum access based on dynamic spectrum sharing, operation at high frequencies and network intelligence. Critical to this vision is design of radios with sensing, learning, and cognition capabilities that can enable new dimensions for networks coordination and optimization of spectrum resources across time, frequency, and space. From the implementation perspective, the feasibility of hardware design, its cost and energy efficiency become critically important for their applications and adoption in future 5G cellular networks and Internet-of-Things (IoT). To address these research challenges, we have taken an interdisciplinary approach with a balanced mix of theoretical modeling, algorithmic development, system implementation and experimental validation. Our research activities have revolved around three main research thrusts: