ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866915793948639232 |
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| author | Jin, Xin Lv, Tiejun Cao, Yashuai Zeng, Jie Peng, Mugen |
| author_facet | Jin, Xin Lv, Tiejun Cao, Yashuai Zeng, Jie Peng, Mugen |
| contents | This letter proposes an active reconfigurable intelligent surface (ARIS) assisted rate-splitting multiple access (RSMA) integrated sensing and communication (ISAC) system to overcome the fairness bottleneck in multi-target sensing under obstructed line-of-sight environments. Beamforming at the transceiver and ARIS, along with rate splitting, are optimized to maximize the minimum multi-target echo signal-to-interference-plus-noise ratio under multi-user rate and power constraints. The intricate non-convex problem is decoupled into three subproblems and solved iteratively by majorization-minimization (MM) and sequential rank-one constraint relaxation (SROCR) algorithms. Simulations show our scheme outperforms nonorthogonal multiple access, space-division multiple access, and passive RIS baselines, approaching sensing-only upper bounds. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_06399 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design Jin, Xin Lv, Tiejun Cao, Yashuai Zeng, Jie Peng, Mugen Signal Processing Artificial Intelligence This letter proposes an active reconfigurable intelligent surface (ARIS) assisted rate-splitting multiple access (RSMA) integrated sensing and communication (ISAC) system to overcome the fairness bottleneck in multi-target sensing under obstructed line-of-sight environments. Beamforming at the transceiver and ARIS, along with rate splitting, are optimized to maximize the minimum multi-target echo signal-to-interference-plus-noise ratio under multi-user rate and power constraints. The intricate non-convex problem is decoupled into three subproblems and solved iteratively by majorization-minimization (MM) and sequential rank-one constraint relaxation (SROCR) algorithms. Simulations show our scheme outperforms nonorthogonal multiple access, space-division multiple access, and passive RIS baselines, approaching sensing-only upper bounds. |
| title | ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design |
| topic | Signal Processing Artificial Intelligence |
| url | https://arxiv.org/abs/2602.06399 |