On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity
Spatial Modulation (SM) and Generalized Spatial Modulation (GSM) have attracted significant attention in the development of spectrally and energy-efficient transmission schemes for multiple-input multiple-output (MIMO) systems. However, independently designing the constellation cardinality and TACs...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Signal Processing |
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| Online Access: | https://ieeexplore.ieee.org/document/10994453/ |
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| author | Yen-Ming Chen Wei-Lun Lin Heng Lee Tsung-Lin Chen |
| author_facet | Yen-Ming Chen Wei-Lun Lin Heng Lee Tsung-Lin Chen |
| author_sort | Yen-Ming Chen |
| collection | DOAJ |
| description | Spatial Modulation (SM) and Generalized Spatial Modulation (GSM) have attracted significant attention in the development of spectrally and energy-efficient transmission schemes for multiple-input multiple-output (MIMO) systems. However, independently designing the constellation cardinality and TACs leads to limited performance gains and an exponential increase in complexity, particularly under maximum-likelihood (ML) detection. To address these limitations, the generalized block-based spatial modulation (GBSM) scheme was proposed, enabling greater flexibility by jointly designing GSM signals across a block of time indices. Building on this idea, this paper first proposes a near-optimal codebook search method based on three-dimensional (3-D) mapping, applicable to both fast and slow Rayleigh fading channels. Secondly, a codebook-assisted tree-search detector (CATSD) is introduced, offering a 98% reduction in complexity compared to ML detection while maintaining near-ML error performance. Finally, an alternative codebook search method is presented, accompanied by a complexity analysis that reveals a favorable trade-off between performance and computational cost. |
| format | Article |
| id | doaj-art-76bbb3feb3d947a081a1cdbea9f66e33 |
| institution | OA Journals |
| issn | 2644-1322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Signal Processing |
| spelling | doaj-art-76bbb3feb3d947a081a1cdbea9f66e332025-08-20T02:35:32ZengIEEEIEEE Open Journal of Signal Processing2644-13222025-01-01655557010.1109/OJSP.2025.356867510994453On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection ComplexityYen-Ming Chen0https://orcid.org/0000-0002-0786-3314Wei-Lun Lin1https://orcid.org/0000-0001-6174-9945Heng Lee2https://orcid.org/0009-0003-7851-057XTsung-Lin Chen3Institute of Communications Engineering and the Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanDepartment of Communications Engineering, Feng Chia University, Taichung, TaiwanInstitute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanInstitute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanSpatial Modulation (SM) and Generalized Spatial Modulation (GSM) have attracted significant attention in the development of spectrally and energy-efficient transmission schemes for multiple-input multiple-output (MIMO) systems. However, independently designing the constellation cardinality and TACs leads to limited performance gains and an exponential increase in complexity, particularly under maximum-likelihood (ML) detection. To address these limitations, the generalized block-based spatial modulation (GBSM) scheme was proposed, enabling greater flexibility by jointly designing GSM signals across a block of time indices. Building on this idea, this paper first proposes a near-optimal codebook search method based on three-dimensional (3-D) mapping, applicable to both fast and slow Rayleigh fading channels. Secondly, a codebook-assisted tree-search detector (CATSD) is introduced, offering a 98% reduction in complexity compared to ML detection while maintaining near-ML error performance. Finally, an alternative codebook search method is presented, accompanied by a complexity analysis that reveals a favorable trade-off between performance and computational cost.https://ieeexplore.ieee.org/document/10994453/Massive MIMOspatial modulationgeneralized spatial modulationgeneralized block-based spatial modulationspace-time code |
| spellingShingle | Yen-Ming Chen Wei-Lun Lin Heng Lee Tsung-Lin Chen On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity IEEE Open Journal of Signal Processing Massive MIMO spatial modulation generalized spatial modulation generalized block-based spatial modulation space-time code |
| title | On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity |
| title_full | On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity |
| title_fullStr | On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity |
| title_full_unstemmed | On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity |
| title_short | On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity |
| title_sort | on the design of near optimal generalized block based spatial modulation with low detection complexity |
| topic | Massive MIMO spatial modulation generalized spatial modulation generalized block-based spatial modulation space-time code |
| url | https://ieeexplore.ieee.org/document/10994453/ |
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