A Spectrum-Efficient Data Modulation Scheme for Internet-of-Things Applications

Md Kamal Hossain, Yehia Massoud, Mohammad R. Haider

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


With the proliferation of wireless sensor networks, the high-density of sensing data is imposing a significant challenge on spectrum management to share the existing bandwidth. In this paper, a spectrum efficient data encoding scheme is proposed using a set of analog orthogonal modified Hermite pulses. The novelty of this approach is to use an analog pulse-sequence based data encoding scheme, that reduces multi-user interference and supports more data by sharing the same network bandwidth. The serial-parallel data transmission techniques are proposed using a set of distinct pulse sequences instead of a single pulse. The analog pulse set generation and the pulse encoding scheme is analyzed through MATLAB simulation package. Simulation results show that the proposed data encoding scheme will provide 6-times improvement in data rate for 4 distinct orthogonal pulses. The proposed scheme will be a promising feature for high density larger array sensor signal monitoring in a wireless sensor network.
Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781538629161
StatePublished - Aug 1 2020
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2022-09-13


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