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LTE-Enhanced Cognitive Radio Testbed (LTE-CORNET)


LTE testbed


Testbeds play a major role in developing and testing new wireless communications technologies and systems. Virginia Tech’s COgnitive Radio NETwork (CORNET) is a large-scale testbed featuring forty-eight remotely accessible software radio nodes that are used in education and research. The CORNET nodes enable dynamic spectrum access (DSA) and cognitive radio (CR) related research and education using open-source software and flexible hardware. CORNET is unique in that it offers a wide range of experimental research and educational tools, including an FCC experimental license agreement for several frequency bands. As communications systems gradually move towards 4G using long-term evolution (LTE) technology, LTE nodes need to be integrated into the CORNET testbed to be able to train engineers and students on this emerging technology and its evolution. This proposal aims to extend and augment the capabilities of our existing testbed so that it can support LTE-related experiments relevant to the DoD. LTE-CORNET will provide a flexible platform that leverages commercial off-the-shelf (COTS) equipment and enables research and education with emphasis on rapid prototyping and quick evaluation of new ideas that improve the robustness of LTE. The solicited equipment will be an enabler for developing and testing sophisticated wireless communications systems, initially following the recommendations of LTE and LTE Advanced (LTE-A) as milestones for bringing 4G and eventually 5G to the soldier. LTE-CORNET may then become an extremely valuable tool for planning, developing, and analyzing the communication needs of future DoD missions. It allows generating multiple signals, emulating natural and man-made interference, in a safe operating environment. The flexible and modular setup together with the mobile nodes allows attaching and detaching LTE-CORNET from the core CORNET testbed, enabling the easy relocation of part of the LTE-CORNET equipment to other testing site