Improving Common Randomness Rate using Software Defined Radios
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Common Randomness (CR) can be considered as a resource for future communication devices and systems that not only improve the transmission capacity of identification systems but also provide robust information theoretical security. To achieve this, CR must be generated such that the reconciliation cost must be lower than the size of the key that is being generated. This can be achieved by using filters. In this live demonstration, we prepare a CR generation mechanism using Software Defined Radio (SDR) and achieve this tradeoff using multi-bit quantization and Savitzky Golay filter.
Details
| Original language | English |
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| Title of host publication | IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1-2 |
| ISBN (electronic) | 979-8-3503-8447-5 |
| Publication status | Published - 2024 |
| Peer-reviewed | Yes |
Conference
| Title | 2024 IEEE International Conference on Computer Communications |
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| Abbreviated title | INFOCOM 2024 |
| Duration | 20 - 23 May 2024 |
| Website | |
| Degree of recognition | International event |
| Location | Hyatt Regency Vancouver |
| City | Vancouver |
| Country | Canada |
External IDs
| ORCID | /0000-0001-8469-9573/work/175744541 |
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Keywords
ASJC Scopus subject areas
Keywords
- 5G/6G, common randomness, goal-oriented communication, physical layer security, Post-Shannon communication, Software Defined Radios