Real-time Digital RF Emulation -- I: The Direct Path Computational Model Article Swipe
Coleman DeLude
,
J. Driscoll
,
Mandovi Mukherjee
,
Nael Mizanur Rahman
,
Uday Kamal
,
Xiangyu Mao
,
Sharjeel Khan
,
Hariharan Sivaraman
,
Eric Huang
,
Jeffrey McHarg
,
Madhavan Swaminathan
,
Santosh Pande
,
Saibal Mukhopadhyay
,
Justin Romberg
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.08710
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2406.08710
In this paper we consider the problem of developing a computational model for emulating an RF channel. The motivation for this is that an accurate and scalable emulator has the potential to minimize the need for field testing, which is expensive, slow, and difficult to replicate. Traditionally, emulators are built using a tapped delay line model where long filters modeling the physical interactions of objects are implemented directly. For an emulation scenario consisting of $M$ objects all interacting with one another, the tapped delay line model's computational requirements scale as $O(M^3)$ per sample: there are $O(M^2)$ channels, each with $O(M)$ complexity. In this paper, we develop a new ``direct path" model that, while remaining physically faithful, allows us to carefully factor the emulator operations, resulting in an $O(M^2)$ per sample scaling of the computational requirements. The impact of this is drastic, a $200$ object scenario sees about a $100\times$ reduction in the number of per sample computations. Furthermore, the direct path model gives us a natural way to distribute the computations for an emulation: each object is mapped to a computational node, and these nodes are networked in a fully connected communication graph. Alongside a discussion of the model and the physical phenomena it emulates, we show how to efficiently parameterize antenna responses and scattering profiles within this direct path framework. To verify the model and demonstrate its viability in hardware, we provide several numerical experiments produced using a cycle level C++ simulator of a hardware implementation of the model.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2406.08710
- https://arxiv.org/pdf/2406.08710
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399695207
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399695207Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2406.08710Digital Object Identifier
- Title
-
Real-time Digital RF Emulation -- I: The Direct Path Computational ModelWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-13Full publication date if available
- Authors
-
Coleman DeLude, J. Driscoll, Mandovi Mukherjee, Nael Mizanur Rahman, Uday Kamal, Xiangyu Mao, Sharjeel Khan, Hariharan Sivaraman, Eric Huang, Jeffrey McHarg, Madhavan Swaminathan, Santosh Pande, Saibal Mukhopadhyay, Justin RombergList of authors in order
- Landing page
-
https://arxiv.org/abs/2406.08710Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2406.08710Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2406.08710Direct OA link when available
- Concepts
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Emulation, Path (computing), Computer science, Computer network, Economics, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.modeling | 59 |
| abstract_inverted_index.physical | 61, 201 |
| abstract_inverted_index.produced | 236 |
| abstract_inverted_index.profiles | 215 |
| abstract_inverted_index.scalable | 26 |
| abstract_inverted_index.scenario | 71, 144 |
| abstract_inverted_index.testing, | 37 |
| abstract_inverted_index.Alongside | 193 |
| abstract_inverted_index.carefully | 119 |
| abstract_inverted_index.channels, | 96 |
| abstract_inverted_index.connected | 190 |
| abstract_inverted_index.difficult | 43 |
| abstract_inverted_index.directly. | 67 |
| abstract_inverted_index.emulates, | 204 |
| abstract_inverted_index.emulating | 13 |
| abstract_inverted_index.emulation | 70 |
| abstract_inverted_index.emulators | 47 |
| abstract_inverted_index.faithful, | 115 |
| abstract_inverted_index.hardware, | 230 |
| abstract_inverted_index.networked | 186 |
| abstract_inverted_index.numerical | 234 |
| abstract_inverted_index.phenomena | 202 |
| abstract_inverted_index.potential | 30 |
| abstract_inverted_index.reduction | 149 |
| abstract_inverted_index.remaining | 113 |
| abstract_inverted_index.responses | 212 |
| abstract_inverted_index.resulting | 124 |
| abstract_inverted_index.simulator | 242 |
| abstract_inverted_index.viability | 228 |
| abstract_inverted_index.consisting | 72 |
| abstract_inverted_index.developing | 8 |
| abstract_inverted_index.discussion | 195 |
| abstract_inverted_index.distribute | 168 |
| abstract_inverted_index.emulation: | 173 |
| abstract_inverted_index.expensive, | 40 |
| abstract_inverted_index.framework. | 220 |
| abstract_inverted_index.motivation | 18 |
| abstract_inverted_index.physically | 114 |
| abstract_inverted_index.replicate. | 45 |
| abstract_inverted_index.scattering | 214 |
| abstract_inverted_index.$100\times$ | 148 |
| abstract_inverted_index.complexity. | 100 |
| abstract_inverted_index.demonstrate | 226 |
| abstract_inverted_index.efficiently | 209 |
| abstract_inverted_index.experiments | 235 |
| abstract_inverted_index.implemented | 66 |
| abstract_inverted_index.interacting | 77 |
| abstract_inverted_index.operations, | 123 |
| abstract_inverted_index.Furthermore, | 157 |
| abstract_inverted_index.computations | 170 |
| abstract_inverted_index.interactions | 62 |
| abstract_inverted_index.parameterize | 210 |
| abstract_inverted_index.requirements | 87 |
| abstract_inverted_index.communication | 191 |
| abstract_inverted_index.computational | 10, 86, 133, 180 |
| abstract_inverted_index.computations. | 156 |
| abstract_inverted_index.requirements. | 134 |
| abstract_inverted_index.Traditionally, | 46 |
| abstract_inverted_index.implementation | 246 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 14 |
| citation_normalized_percentile |