Labeling-Based Recipient Identification with Low-Order Modulation
Labeling-Based Recipient Identification (LABRID) brings the possibility of representing the destination station address in a Bit-Interleaved Coded Modulation with Iterative Decoding (BICM-ID) system by a signal labeling rule. Low-order modulations, such as BPSK or QPSK, pose a general problem for BI...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/13/2/425 |
| _version_ | 1797344154573864960 |
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| author | Maciej Krasicki |
| author_facet | Maciej Krasicki |
| author_sort | Maciej Krasicki |
| collection | DOAJ |
| description | Labeling-Based Recipient Identification (LABRID) brings the possibility of representing the destination station address in a Bit-Interleaved Coded Modulation with Iterative Decoding (BICM-ID) system by a signal labeling rule. Low-order modulations, such as BPSK or QPSK, pose a general problem for BICM-ID due to a limited convergence of iterative decoding. In the context of LABRID, they have one more drawback—a small number of different labeling rules in general; the number of the optimal ones, which exhibit the maximal asymptotic coding gain, is reduced even further. Meanwhile, LABRID needs a sizable collection of different optimal labeling rules to serve many users in large wireless networks. In this paper, the author suggests the use of hypercube BPSK or QPSK labeling to overcome all these challenges. By means of the Reactive Tabu Search (RTS) algorithm, more than 1500 equivalent optimal hypercube labeling rules are found. Analytical error bounds of the system are developed and supported by simulation experiments. Then, the focus is moved to the criterion to determine the frame destination at the LABRID receiver; a simple threshold-based method is proposed to keep the incorrect decision probability below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup></semantics></math></inline-formula>. Finally, it is shown that LABRID outperforms a reference BICM-ID system in terms of computational complexity. |
| first_indexed | 2024-03-08T10:59:13Z |
| format | Article |
| id | doaj.art-778a7ab0a1584bbd8d3838cfcbb2e824 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-08T10:59:13Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-778a7ab0a1584bbd8d3838cfcbb2e8242024-01-26T16:14:55ZengMDPI AGElectronics2079-92922024-01-0113242510.3390/electronics13020425Labeling-Based Recipient Identification with Low-Order ModulationMaciej Krasicki0Institute of Radiocommunications, Poznan University of Technology, Polanka 3, 61-131 Poznan, PolandLabeling-Based Recipient Identification (LABRID) brings the possibility of representing the destination station address in a Bit-Interleaved Coded Modulation with Iterative Decoding (BICM-ID) system by a signal labeling rule. Low-order modulations, such as BPSK or QPSK, pose a general problem for BICM-ID due to a limited convergence of iterative decoding. In the context of LABRID, they have one more drawback—a small number of different labeling rules in general; the number of the optimal ones, which exhibit the maximal asymptotic coding gain, is reduced even further. Meanwhile, LABRID needs a sizable collection of different optimal labeling rules to serve many users in large wireless networks. In this paper, the author suggests the use of hypercube BPSK or QPSK labeling to overcome all these challenges. By means of the Reactive Tabu Search (RTS) algorithm, more than 1500 equivalent optimal hypercube labeling rules are found. Analytical error bounds of the system are developed and supported by simulation experiments. Then, the focus is moved to the criterion to determine the frame destination at the LABRID receiver; a simple threshold-based method is proposed to keep the incorrect decision probability below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup></semantics></math></inline-formula>. Finally, it is shown that LABRID outperforms a reference BICM-ID system in terms of computational complexity.https://www.mdpi.com/2079-9292/13/2/425coded modulationdiversityiterative decodinglabeling map |
| spellingShingle | Maciej Krasicki Labeling-Based Recipient Identification with Low-Order Modulation Electronics coded modulation diversity iterative decoding labeling map |
| title | Labeling-Based Recipient Identification with Low-Order Modulation |
| title_full | Labeling-Based Recipient Identification with Low-Order Modulation |
| title_fullStr | Labeling-Based Recipient Identification with Low-Order Modulation |
| title_full_unstemmed | Labeling-Based Recipient Identification with Low-Order Modulation |
| title_short | Labeling-Based Recipient Identification with Low-Order Modulation |
| title_sort | labeling based recipient identification with low order modulation |
| topic | coded modulation diversity iterative decoding labeling map |
| url | https://www.mdpi.com/2079-9292/13/2/425 |
| work_keys_str_mv | AT maciejkrasicki labelingbasedrecipientidentificationwithlowordermodulation |