Next-Generation IoT Networks: Integrated Sensing Communication and Computation Article Swipe
Kunwar Pritiraj Rajput
,
Linlong Wu
,
Mallikarjun Shankar
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/icasspw59220.2023.10193000
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/icasspw59220.2023.10193000
To enable the exponential expansion of Internet of Things (IoT) applications, IoT devices must gather and transmit massive amounts of data to the server for further processing. By employing the same signals for both radar sensing and data transmission, the integrated sensing and communication (ISAC) approach provides simultaneous data gathering and delivery in the physical layer. Over-the-air computation (AirComp), which leverages the analog-wave addition property in multi-access channels, is a communication method that also supports function computation. In order to leverage the individual benefits of ISAC and AirComp, this work focuses on Integrated Sensing Communication and Computation (ISCCO) framework for the IoT network. Since the IoT sensors are small size low cost devices and each is equipped with single antenna, and hence to make the processing of received echo simple this work assume that the waveform transmitted by each sensor is orthogonal to each other. Furthermore, joint optimal power allocation for each sensor in the IoT network and the combining vector at the EC is designed such that the signal-to-noise (SNR) ratio at the EC is maximized. However, the design challenge lies in the non-convex joint optimal power allocation for each IoT device and the combining vector at the server. To address this, an iterative algorithm is proposed which provides closed-form solution for each quantity in each iteration. Results show that the proposed optimal power allocation and orthogonal waveform design scheme outperforms the equal power allocation-based design.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/icasspw59220.2023.10193000
- OA Status
- green
- Cited By
- 8
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385484913
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4385484913Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/icasspw59220.2023.10193000Digital Object Identifier
- Title
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Next-Generation IoT Networks: Integrated Sensing Communication and ComputationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-04Full publication date if available
- Authors
-
Kunwar Pritiraj Rajput, Linlong Wu, Mallikarjun ShankarList of authors in order
- Landing page
-
https://doi.org/10.1109/icasspw59220.2023.10193000Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://orbilu.uni.lu/bitstream/10993/57644/1/Integrated_Sensing_and_Communication_for_IoT_Networks%20%285%29.pdfDirect OA link when available
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Computer science, Wireless sensor network, Computation, Real-time computing, Electronic engineering, Distributed computing, Computer network, Algorithm, EngineeringTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 3, 2024: 5Per-year citation counts (last 5 years)
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11Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.provides | 46, 209 |
| abstract_inverted_index.quantity | 214 |
| abstract_inverted_index.received | 127 |
| abstract_inverted_index.solution | 211 |
| abstract_inverted_index.supports | 74 |
| abstract_inverted_index.transmit | 16 |
| abstract_inverted_index.waveform | 135, 228 |
| abstract_inverted_index.algorithm | 205 |
| abstract_inverted_index.challenge | 180 |
| abstract_inverted_index.channels, | 67 |
| abstract_inverted_index.combining | 159, 195 |
| abstract_inverted_index.employing | 28 |
| abstract_inverted_index.expansion | 4 |
| abstract_inverted_index.framework | 98 |
| abstract_inverted_index.gathering | 49 |
| abstract_inverted_index.iterative | 204 |
| abstract_inverted_index.leverages | 60 |
| abstract_inverted_index.(AirComp), | 58 |
| abstract_inverted_index.Integrated | 92 |
| abstract_inverted_index.allocation | 149, 188, 225 |
| abstract_inverted_index.individual | 82 |
| abstract_inverted_index.integrated | 40 |
| abstract_inverted_index.iteration. | 217 |
| abstract_inverted_index.maximized. | 176 |
| abstract_inverted_index.non-convex | 184 |
| abstract_inverted_index.orthogonal | 141, 227 |
| abstract_inverted_index.processing | 125 |
| abstract_inverted_index.Computation | 96 |
| abstract_inverted_index.analog-wave | 62 |
| abstract_inverted_index.closed-form | 210 |
| abstract_inverted_index.computation | 57 |
| abstract_inverted_index.exponential | 3 |
| abstract_inverted_index.outperforms | 231 |
| abstract_inverted_index.processing. | 26 |
| abstract_inverted_index.transmitted | 136 |
| abstract_inverted_index.Furthermore, | 145 |
| abstract_inverted_index.Over-the-air | 56 |
| abstract_inverted_index.computation. | 76 |
| abstract_inverted_index.multi-access | 66 |
| abstract_inverted_index.simultaneous | 47 |
| abstract_inverted_index.Communication | 94 |
| abstract_inverted_index.applications, | 10 |
| abstract_inverted_index.communication | 43, 70 |
| abstract_inverted_index.transmission, | 38 |
| abstract_inverted_index.signal-to-noise | 169 |
| abstract_inverted_index.allocation-based | 235 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.93225953 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |