Learnable binary MIMO detection with negative penalty based on inexact ADMM
Abstract In this letter, a new learnable binary MIMO detection algorithm in massive MIMO systems with one‐bit analog‐to‐digital converters is proposed. A negative penalty is introduced to transform a non‐convex constraint to a convex box constraint and a learnable iterative algorithm is presented ba...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-03-01
|
| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.13155 |
| _version_ | 1797237665176748032 |
|---|---|
| author | Minwoo Kim Minsik Kim Daeyoung Park |
| author_facet | Minwoo Kim Minsik Kim Daeyoung Park |
| author_sort | Minwoo Kim |
| collection | DOAJ |
| description | Abstract In this letter, a new learnable binary MIMO detection algorithm in massive MIMO systems with one‐bit analog‐to‐digital converters is proposed. A negative penalty is introduced to transform a non‐convex constraint to a convex box constraint and a learnable iterative algorithm is presented based on inexact alternating direction methods of multipliers. The proposed MIMO detection method performs better than the existing binary MIMO detection methods even with lower computational complexity. |
| first_indexed | 2024-04-24T17:23:21Z |
| format | Article |
| id | doaj.art-1077d2fedf5a430c8094bf1f49835ddb |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-04-24T17:23:21Z |
| publishDate | 2024-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-1077d2fedf5a430c8094bf1f49835ddb2024-03-28T07:44:34ZengWileyElectronics Letters0013-51941350-911X2024-03-01606n/an/a10.1049/ell2.13155Learnable binary MIMO detection with negative penalty based on inexact ADMMMinwoo Kim0Minsik Kim1Daeyoung Park2Inha University Incheon Korea (the Republic of)Electronics and Telecommunications Research Institute Daejeon Korea (the Republic of)Department of Electrical and Computer Engineering Inha University Incheon Korea (the Republic of)Abstract In this letter, a new learnable binary MIMO detection algorithm in massive MIMO systems with one‐bit analog‐to‐digital converters is proposed. A negative penalty is introduced to transform a non‐convex constraint to a convex box constraint and a learnable iterative algorithm is presented based on inexact alternating direction methods of multipliers. The proposed MIMO detection method performs better than the existing binary MIMO detection methods even with lower computational complexity.https://doi.org/10.1049/ell2.13155MIMO communicationsignal detection |
| spellingShingle | Minwoo Kim Minsik Kim Daeyoung Park Learnable binary MIMO detection with negative penalty based on inexact ADMM Electronics Letters MIMO communication signal detection |
| title | Learnable binary MIMO detection with negative penalty based on inexact ADMM |
| title_full | Learnable binary MIMO detection with negative penalty based on inexact ADMM |
| title_fullStr | Learnable binary MIMO detection with negative penalty based on inexact ADMM |
| title_full_unstemmed | Learnable binary MIMO detection with negative penalty based on inexact ADMM |
| title_short | Learnable binary MIMO detection with negative penalty based on inexact ADMM |
| title_sort | learnable binary mimo detection with negative penalty based on inexact admm |
| topic | MIMO communication signal detection |
| url | https://doi.org/10.1049/ell2.13155 |
| work_keys_str_mv | AT minwookim learnablebinarymimodetectionwithnegativepenaltybasedoninexactadmm AT minsikkim learnablebinarymimodetectionwithnegativepenaltybasedoninexactadmm AT daeyoungpark learnablebinarymimodetectionwithnegativepenaltybasedoninexactadmm |