Almohanad Fayez

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CSERE (Cognitive System Enabling Radio Evolution) is a high performance modular cognitive engine written in Python which can control a wide variety of radio platforms to implement fully functional cognitive radios. Its modular architecture allows CSERE to hot swap software components like objective analyzers (objective function calculators), rankers, and(More)
Main Developers : Rohit Rangnekar, Feng Ge, Alex Young, Mark Silvius, Almohanad Fayez, Gyuhyun Kwon, Xueqi Cheng, Nannan He, Scott Bates, Bin Li, Terrence Brisebois, Qinqin Chen, Aravind Radhakrishnan, Mustafa EI-Nainay, Gladstone Marballie, Sujit Nair, Ying Wang, Yongsheng Sam Shi This project is supported by Award No. 2005-IJ-CXK017 awarded by the(More)
Cognitive Radios (CRs) and Software Defined Radios (SDRs) have ubiquitous applications ranging from handheld to base station devices. In order to meet the computational requirements of such radios, computing heterogeneity, the mixed usage of General Purpose Processors (GPPs), Digital Signal Processors (DSPs), and Field-Programmable Gate Arrays (FPGAs), is(More)
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