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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.17241 |
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| _version_ | 1866915170107785216 |
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| author | Zeng, Qing-Guo Cui, Xiao-Peng Tao, Xian-Zhe Hu, Jia-Qi Pan, Shi-Jie Sha, Wei E. I. Yung, Man-Hong |
| author_facet | Zeng, Qing-Guo Cui, Xiao-Peng Tao, Xian-Zhe Hu, Jia-Qi Pan, Shi-Jie Sha, Wei E. I. Yung, Man-Hong |
| contents | Applying quantum annealing or current quantum-/physics-inspired algorithms for MIMO detection always abandon the direct gray-coded bit-to-symbol mapping in order to obtain Ising form, leading to inconsistency errors. This often results in slow convergence rates and error floor, particularly with high-order modulations. We propose HOPbit, a novel MIMO detector designed to address this issue by transforming the MIMO detection problem into a higher-order unconstrained binary optimization (HUBO) problem while maintaining gray-coded bit-to-symbol mapping. The method then employs the simulated probabilistic bits (p-bits) algorithm to directly solve HUBO without degradation. This innovative strategy enables HOPbit to achieve rapid convergence and attain near-optimal maximum-likelihood performance in most scenarios, even those involving high-order modulations. The experiments show that HOPbit surpasses ParaMax by several orders of magnitude in terms of bit error rate (BER) in the context of 12-user massive and large MIMO systems even with computing resources. In addition, HOPbit achieves lower BER rates compared to other traditional detectors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_17241 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | High-Order Modulation Large MIMO Detector Based on Physics-Inspired Methods Zeng, Qing-Guo Cui, Xiao-Peng Tao, Xian-Zhe Hu, Jia-Qi Pan, Shi-Jie Sha, Wei E. I. Yung, Man-Hong Computational Physics Applying quantum annealing or current quantum-/physics-inspired algorithms for MIMO detection always abandon the direct gray-coded bit-to-symbol mapping in order to obtain Ising form, leading to inconsistency errors. This often results in slow convergence rates and error floor, particularly with high-order modulations. We propose HOPbit, a novel MIMO detector designed to address this issue by transforming the MIMO detection problem into a higher-order unconstrained binary optimization (HUBO) problem while maintaining gray-coded bit-to-symbol mapping. The method then employs the simulated probabilistic bits (p-bits) algorithm to directly solve HUBO without degradation. This innovative strategy enables HOPbit to achieve rapid convergence and attain near-optimal maximum-likelihood performance in most scenarios, even those involving high-order modulations. The experiments show that HOPbit surpasses ParaMax by several orders of magnitude in terms of bit error rate (BER) in the context of 12-user massive and large MIMO systems even with computing resources. In addition, HOPbit achieves lower BER rates compared to other traditional detectors. |
| title | High-Order Modulation Large MIMO Detector Based on Physics-Inspired Methods |
| topic | Computational Physics |
| url | https://arxiv.org/abs/2502.17241 |