The WiNLAB Network Centric Cognitive Radio (WiNC2R) is a task-based, programmable, multi-processor system-on-a-chip architecture for radio processing. It provides robust support for multiple wireless standards and excellent runtime flexibility using a ‘Virtual Flow Pipelining’ (VFP) mechanism. WiNC2R defines a cluster based architecture with a shared VFP controller, with specific functionalities for the VFP controller, to enable efficient processing of tasks in a given protocol flow. Given the stringent requirements of modern wireless protocols, it becomes critical to ensure that the WiNC2R implementation adheres to the design specifications. Implementing a transceiver design on WiNC2R for complex protocols requires a large number of processing engines. In this thesis, we have laid emphasis on architecture scalability, by addressing features like multi-clustering and next task processing. We have performed a detailed functional verification of the VFP controller using a SystemVerilog testbench, based on Open Verification Methodology (OVM) principles. We base the work by proposing a framework for using the WiNC2R platform for 802.16e Mobile WiMAX flows, by defining the specifications and performance requirements for each processor in the cluster. We have also provided sample programmable tasks for implementing WiMAX flows.
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Electrical and Computer Engineering
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Rutgers University Electronic Theses and Dissertations
Rutgers University. Graduate School - New Brunswick
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