Tone Reservation-Based PAPR Reduction Using Manifold Optimization for OFDM-ISAC Systems
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913515059544064 |
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| author | Rexhepi, Getuar Ranasinghe, Kuranage Roche Rayan de Abreu, Giuseppe Thadeu Freitas G, David González |
| author_facet | Rexhepi, Getuar Ranasinghe, Kuranage Roche Rayan de Abreu, Giuseppe Thadeu Freitas G, David González |
| contents | We consider the peak-to-average power ratio (PAPR) reduction challenge of orthogonal frequency division multiplexing (OFDM) systems utilizing tone reservation (TR) under a sensing-enabling constraint, such that the signals placed in the reserved tones (RTs) can be exploited for Integrated Sensing and Communication (ISAC). To that end, the problem is first cast as an unconstrained manifold optimization problem, and then solved via an iterative projected gradient descent algorithm assisted by an approximation of the infinity norm. Simulation results show that the proposed method, while maintaining a level of PAPR reduction similar to state of the art (SotA), not only has lower computational complexity but also outperforms the alternatives in terms of sensing performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_16121 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Tone Reservation-Based PAPR Reduction Using Manifold Optimization for OFDM-ISAC Systems Rexhepi, Getuar Ranasinghe, Kuranage Roche Rayan de Abreu, Giuseppe Thadeu Freitas G, David González Signal Processing We consider the peak-to-average power ratio (PAPR) reduction challenge of orthogonal frequency division multiplexing (OFDM) systems utilizing tone reservation (TR) under a sensing-enabling constraint, such that the signals placed in the reserved tones (RTs) can be exploited for Integrated Sensing and Communication (ISAC). To that end, the problem is first cast as an unconstrained manifold optimization problem, and then solved via an iterative projected gradient descent algorithm assisted by an approximation of the infinity norm. Simulation results show that the proposed method, while maintaining a level of PAPR reduction similar to state of the art (SotA), not only has lower computational complexity but also outperforms the alternatives in terms of sensing performance. |
| title | Tone Reservation-Based PAPR Reduction Using Manifold Optimization for OFDM-ISAC Systems |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2409.16121 |