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Quantifying Energy and Latency Improvements of FPGA-Based Sensors for Low-Cost Spectrum Monitoring

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dc.contributor.advisor en_US
dc.contributor.author Bhattacharya, Arani
dc.contributor.author Chen, Han
dc.contributor.author Milder, Peter
dc.contributor.author Das, Samir R.
dc.date.accessioned 2018-10-23T19:34:46Z
dc.date.available 2018-10-23T19:34:46Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/11401/78412
dc.description.abstract There is a recent interest in large-scale RF spectrum monitoring using low-cost crowdsourced spectrum sensors. A major challenge here is improving the latency and energy usage of signal processing algorithms on the sensor. This improves operational cost and effectiveness and also makes the sensors more responsive to the monitoring task. We specifically consider the case of signal detection using such sensors. Typical crowdsourced implementation using a low-cost software radio connected to a Raspberry Pi or a smartphone as host is not energy-efficient and incurs significant latencies. We propose use of field-programmable gate array (FPGA) to improve both metrics for the signal detection task. Our benchmarking shows significant improvements with FPGA platforms relative to using a Raspberry Pi or smartphone, up to a factor of 73 in terms of latency and a factor of 29 in terms of energy usage. en_US
dc.description.sponsorship National Science Foundation, Ministry of Science and ICT, Republic of Korea en_US
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.title Quantifying Energy and Latency Improvements of FPGA-Based Sensors for Low-Cost Spectrum Monitoring en_US
dc.type Preprint en_US


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