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Constant Modulus Waveforms for IoT-Centric Integrated Sensing and Communications

delete2026-03-01
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PRE
AI
T
Tian Han *
S
Shalanika Dayarathna
R
Rajitha Senanayake
P
Peter J. Smith
A
Aryan Kaushik
A
Alain Mourad
R
Richard A. Stirling-Gallacher
J
Jamie Evans
DOI:10.1109/MCOMSTD.2026.3665540delete
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Abstract

Abstract

En 中文
Integrated sensing and communications (ISAC) is considered a key enabler to support application scenarios such as the Internet-of-Things (IoT) in which both communications and sensing play significant roles. Multi-carrier waveforms, such as orthogonal frequency division multiplexing (OFDM), have been considered as good candidates for ISAC due to their high communications data rate and good time bandwidth property for sensing. Nevertheless, their high peak-to-average-power-ratio (PAPR) values lead to either performance degradation or an increase in system complexity. This can make OFDM unsuitable for IoT applications with insufficient resources in terms of power, system complexity, hardware size or cost. This article provides IoT-centric constant modulus signalling scheme designs that leverage the advantage of unit PAPR and thus are more suitable in resource-limited scenarios. More specifically, several single-carrier frequency and/or phase signalling schemes are considered. A comprehensive discussion on their radar sensing and communications performance is conducted based on performance metrics including the radar ambiguity function, the bandwidth property, the data rate, and the communications receiver complexity. Results demonstrate that under the constraint of unit PAPR, the sensing-communications tardeoff can be achieved by selecting among the discussed signalling schemes. Recommendations for linking particular low-rate IoT scenarios with those signalling schemes are also provided based on the their performance.
Keywords:
Radar
Peak to average power ratio
Integrated sensing and communication
Costs
6G mobile communication
Internet of Things
Industries
Bandwidth
Signal resolution
3GPP

Journal

I
IEEE Communications Standards Magazine
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196
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huawei technologies
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Victoria University Wellington
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Indraprastha Institute of Information Technology Delhi
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university of melbourne
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