Dynamic Joint PHY-MAC Waveform Design for IoT Connectivity
| Autor: | George Sklivanitis, Dimitris A. Pados, Konstantinos Tountas |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Pulse (signal processing)
Computer science Continuum (topology) 020206 networking & telecommunications 02 engineering and technology Base station PHY Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electronic engineering Waveform Joint (audio engineering) Linear filter Energy (signal processing) Computer Science::Information Theory |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp.2019.8683748 |
| Popis: | We envision dense network deployments of Internet-of-Things (IoT) connected devices that report data to a common base station (BS). The devices utilize repeats of a basic shaping pulse occupying the entire continuum of the device-accessible spectrum. We propose an optimal algorithm to adaptively design sparse waveforms with well-placed energy that maximize the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum-SINR linear filter at the BS. Additionally, we propose a computationally efficient suboptimal waveform design algorithm for the same problem. Simulation studies show that the proposed waveform designs attain superior pre-detection SINR performance than conventional binary, quaternary, and sparse-binary/quaternary waveform designs, thus offering a promising PHY-MAC approach to maintain wireless connectivity in overloaded network setups. |
| Databáze: | OpenAIRE |
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