Secrecy Rate Region of SWIPT Wiretap Interference Channels Article Swipe
Ali Kariminezhad
,
Zohaib Hassan Awan
,
Hendrik Vogt
,
Aydin Sezgin
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1709.00906
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1709.00906
The secrecy rate region of wiretap interference channels with a multi-antenna passive eavesdropper is studied under receiver energy harvesting constraints. To stay operational in the network, the legitimate receivers demand energy alongside information, which is fulfilled by power transmission and exploiting a power splitting (PS) receiver. By simultaneous wireless information and power transfer (SWIPT), the amount of leakage to the eavesdropper increases, which in turn reduces the secrecy rates. For this setup, lower-bounds for secure communication rate are derived without imposing any limitation at the eavesdropper processing. These lower-bounds are then compared with the rates achieved by assuming the worst-case linear eavesdropper processing. We show that in certain special cases the worst-case eavesdropper does not enlarge the achievable secure rate region in comparison to the unconstrained eavesdropper case. It turns out that in order to achieve the Pareto boundary of the secrecy rate region, smart tuning of the transmit power and receiver PS coefficient is required. Hence, we propose an efficient algorithm to optimize these parameters jointly in polynomial-time. The secrecy rate region characterization is formulated as a weighted max-min optimization problem. This problem turns out to be a non-convex problem due to the non-convex constrained set. This set is replaced by a convex subset that in consequence leads to an achievable suboptimal solution which is improved iteratively. By solving the problem efficiently, we obtain the amount of rate loss for providing secrecy, meanwhile satisfying the energy demands.
Related Topics
Concepts
Secure transmission
Secrecy
Computer science
Transmitter power output
Maximum power transfer theorem
Transmission (telecommunications)
Wireless
Mathematical optimization
Convex optimization
Secure communication
Energy (signal processing)
Power (physics)
Computer network
Regular polygon
Transmitter
Channel (broadcasting)
Telecommunications
Mathematics
Computer security
Geometry
Physics
Quantum mechanics
Encryption
Statistics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1709.00906
- https://arxiv.org/pdf/1709.00906
- OA Status
- green
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2891038267
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2891038267Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1709.00906Digital Object Identifier
- Title
-
Secrecy Rate Region of SWIPT Wiretap Interference ChannelsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-09-04Full publication date if available
- Authors
-
Ali Kariminezhad, Zohaib Hassan Awan, Hendrik Vogt, Aydin SezginList of authors in order
- Landing page
-
https://arxiv.org/abs/1709.00906Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1709.00906Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1709.00906Direct OA link when available
- Concepts
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Secure transmission, Secrecy, Computer science, Transmitter power output, Maximum power transfer theorem, Transmission (telecommunications), Wireless, Mathematical optimization, Convex optimization, Secure communication, Energy (signal processing), Power (physics), Computer network, Regular polygon, Transmitter, Channel (broadcasting), Telecommunications, Mathematics, Computer security, Geometry, Physics, Quantum mechanics, Encryption, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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16Number 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.be | 187 |
| abstract_inverted_index.by | 36, 96, 201 |
| abstract_inverted_index.in | 23, 63, 106, 121, 132, 167, 206 |
| abstract_inverted_index.is | 13, 34, 154, 174, 199, 215 |
| abstract_inverted_index.of | 4, 56, 139, 146, 227 |
| abstract_inverted_index.to | 58, 123, 134, 162, 186, 192, 209 |
| abstract_inverted_index.we | 157, 223 |
| abstract_inverted_index.For | 69 |
| abstract_inverted_index.The | 0, 169 |
| abstract_inverted_index.and | 39, 50, 150 |
| abstract_inverted_index.any | 81 |
| abstract_inverted_index.are | 77, 89 |
| abstract_inverted_index.due | 191 |
| abstract_inverted_index.for | 73, 230 |
| abstract_inverted_index.not | 114 |
| abstract_inverted_index.out | 130, 185 |
| abstract_inverted_index.set | 198 |
| abstract_inverted_index.the | 24, 26, 54, 59, 66, 84, 93, 98, 110, 116, 124, 136, 140, 147, 193, 220, 225, 235 |
| abstract_inverted_index.(PS) | 44 |
| abstract_inverted_index.This | 182, 197 |
| abstract_inverted_index.does | 113 |
| abstract_inverted_index.loss | 229 |
| abstract_inverted_index.rate | 2, 76, 119, 142, 171, 228 |
| abstract_inverted_index.set. | 196 |
| abstract_inverted_index.show | 104 |
| abstract_inverted_index.stay | 21 |
| abstract_inverted_index.that | 105, 131, 205 |
| abstract_inverted_index.then | 90 |
| abstract_inverted_index.this | 70 |
| abstract_inverted_index.turn | 64 |
| abstract_inverted_index.with | 8, 92 |
| abstract_inverted_index.These | 87 |
| abstract_inverted_index.case. | 127 |
| abstract_inverted_index.cases | 109 |
| abstract_inverted_index.leads | 208 |
| abstract_inverted_index.order | 133 |
| abstract_inverted_index.power | 37, 42, 51, 149 |
| abstract_inverted_index.rates | 94 |
| abstract_inverted_index.smart | 144 |
| abstract_inverted_index.these | 164 |
| abstract_inverted_index.turns | 129, 184 |
| abstract_inverted_index.under | 15 |
| abstract_inverted_index.which | 33, 62, 214 |
| abstract_inverted_index.Hence, | 156 |
| abstract_inverted_index.Pareto | 137 |
| abstract_inverted_index.amount | 55, 226 |
| abstract_inverted_index.convex | 203 |
| abstract_inverted_index.demand | 29 |
| abstract_inverted_index.energy | 17, 30, 236 |
| abstract_inverted_index.linear | 100 |
| abstract_inverted_index.obtain | 224 |
| abstract_inverted_index.rates. | 68 |
| abstract_inverted_index.region | 3, 120, 172 |
| abstract_inverted_index.secure | 74, 118 |
| abstract_inverted_index.setup, | 71 |
| abstract_inverted_index.subset | 204 |
| abstract_inverted_index.tuning | 145 |
| abstract_inverted_index.achieve | 135 |
| abstract_inverted_index.certain | 107 |
| abstract_inverted_index.derived | 78 |
| abstract_inverted_index.enlarge | 115 |
| abstract_inverted_index.jointly | 166 |
| abstract_inverted_index.leakage | 57 |
| abstract_inverted_index.max-min | 179 |
| abstract_inverted_index.passive | 11 |
| abstract_inverted_index.problem | 183, 190, 221 |
| abstract_inverted_index.propose | 158 |
| abstract_inverted_index.reduces | 65 |
| abstract_inverted_index.region, | 143 |
| abstract_inverted_index.secrecy | 1, 67, 141, 170 |
| abstract_inverted_index.solving | 219 |
| abstract_inverted_index.special | 108 |
| abstract_inverted_index.studied | 14 |
| abstract_inverted_index.wiretap | 5 |
| abstract_inverted_index.without | 79 |
| abstract_inverted_index.(SWIPT), | 53 |
| abstract_inverted_index.achieved | 95 |
| abstract_inverted_index.assuming | 97 |
| abstract_inverted_index.boundary | 138 |
| abstract_inverted_index.channels | 7 |
| abstract_inverted_index.compared | 91 |
| abstract_inverted_index.demands. | 237 |
| abstract_inverted_index.imposing | 80 |
| abstract_inverted_index.improved | 216 |
| abstract_inverted_index.network, | 25 |
| abstract_inverted_index.optimize | 163 |
| abstract_inverted_index.problem. | 181 |
| abstract_inverted_index.receiver | 16, 151 |
| abstract_inverted_index.replaced | 200 |
| abstract_inverted_index.secrecy, | 232 |
| abstract_inverted_index.solution | 213 |
| abstract_inverted_index.transfer | 52 |
| abstract_inverted_index.transmit | 148 |
| abstract_inverted_index.weighted | 178 |
| abstract_inverted_index.wireless | 48 |
| abstract_inverted_index.algorithm | 161 |
| abstract_inverted_index.alongside | 31 |
| abstract_inverted_index.efficient | 160 |
| abstract_inverted_index.fulfilled | 35 |
| abstract_inverted_index.meanwhile | 233 |
| abstract_inverted_index.providing | 231 |
| abstract_inverted_index.receiver. | 45 |
| abstract_inverted_index.receivers | 28 |
| abstract_inverted_index.required. | 155 |
| abstract_inverted_index.splitting | 43 |
| abstract_inverted_index.achievable | 117, 211 |
| abstract_inverted_index.comparison | 122 |
| abstract_inverted_index.exploiting | 40 |
| abstract_inverted_index.formulated | 175 |
| abstract_inverted_index.harvesting | 18 |
| abstract_inverted_index.increases, | 61 |
| abstract_inverted_index.legitimate | 27 |
| abstract_inverted_index.limitation | 82 |
| abstract_inverted_index.non-convex | 189, 194 |
| abstract_inverted_index.parameters | 165 |
| abstract_inverted_index.satisfying | 234 |
| abstract_inverted_index.suboptimal | 212 |
| abstract_inverted_index.worst-case | 99, 111 |
| abstract_inverted_index.coefficient | 153 |
| abstract_inverted_index.consequence | 207 |
| abstract_inverted_index.constrained | 195 |
| abstract_inverted_index.information | 49 |
| abstract_inverted_index.operational | 22 |
| abstract_inverted_index.processing. | 86, 102 |
| abstract_inverted_index.constraints. | 19 |
| abstract_inverted_index.eavesdropper | 12, 60, 85, 101, 112, 126 |
| abstract_inverted_index.efficiently, | 222 |
| abstract_inverted_index.information, | 32 |
| abstract_inverted_index.interference | 6 |
| abstract_inverted_index.iteratively. | 217 |
| abstract_inverted_index.lower-bounds | 72, 88 |
| abstract_inverted_index.optimization | 180 |
| abstract_inverted_index.simultaneous | 47 |
| abstract_inverted_index.transmission | 38 |
| abstract_inverted_index.communication | 75 |
| abstract_inverted_index.multi-antenna | 10 |
| abstract_inverted_index.unconstrained | 125 |
| abstract_inverted_index.characterization | 173 |
| abstract_inverted_index.polynomial-time. | 168 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.9200000166893005 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |