Joshi, Madhura. System integration and performance evaluation of WiNC2R Platform for 802.11a-like protocol. Retrieved from https://doi.org/doi:10.7282/T30P0ZSW
DescriptionA Cognitive Radio (CR) is an intelligent transceiver that is able to support multiple technologies. It can also be dynamically reconfigured and be easily programmed to achieve high flexibility and speed. The WiNC2R platform is based on the concept of Virtual Flow Paradigm. The key characteristic of this concept is that the software provisions the flow by determining the roles of hardware and software modules whereas the runtime processing flow is controlled by the hardware. The revision1 of WiNC2R platform was a proof of concept implemented on an FPGA with the basic processing engines to achieve an 802.11a-light OFDM flow, and a simple Virtual Flow Pipeline (VFP) control unit. In the new revision, we have an advanced shared VFP control unit, cluster based SoC architecture, and all the processing engines in an 802.11a like OFDM transmitter flow. The focus of this thesis was to integrate the WiNC2R platform as an 802.11a like transmitter with the advanced VFP control unit and perform a performance analysis for the realistic application scenario. The performance evaluation revolves around system throughput and latency as a function of frame size, bandwidth, pipelining granularity, number of traffic flows, and flow bandwidth. The analysis is performed for various traffic mix scenarios. We analyze also how effectively the VFP control scheme performs run time task control for a single and multiple OFDM flows. The thesis starts with the comparative study between the two revisions of WiNC2R and continues to describe in detail the new revision features. The programming techniques are described next, followed by a performance evaluation section and suggestions for future work.