With a growing number of connected devices in theInternet-of-Things (IoT), multi-user detection (MUD) becomes acritical issue in the IoT gateway at the edge. Thanks to the featureof activity sparsity in the IoT devices, compressive sensing (CS)is a promising solution for MUD to handle massive devices underlimited resources. For practical IoT applications, the CS-basedIoT gateway needs to support an unknown number of activedevices up to 10% of total devices and should complete a timeslotdetection within 0.5 ms. However, most existing CS detectionengines cannot fulfill above requirements simultaneously. In thispaper, we proposed a modified sparsity adaptive matching pursuit(MSAMP) detection engine for the IoT gateway at the edge.With decomposition-free architecture, our proposed engine canefficiently operate multiple and arbitrary indices updating thatcan achieve adaptive sparsity realization and index set backtrackingoptimization with no need of prior information. Moreover,coarse-searching and turbo step-size techniques are designed toenhance 2.86× of throughput rate gain. The efficiently implementedMSAMP detection engine in TSMC 90-nm technologycan complete a time-slot detection in 0.192 ms (<0.5ms). Thus,the proposed detection engine can provide a constructive realtimedesign for practical IoT applications.
To View the Base Paper Abstract Contents
Now it is Your Time to Shine.
Great careers Start Here.
We Guide you to Every Step
Success! You're Awesome
Thank you for filling out your information!
We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.
To know more details Call 900 31 31 555
The WISEN Team