Joint Power Allocation and Radiation Optimization in NOMA-Assisted Pinching Antenna Systems
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arXiv
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| Format: | Preprint |
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2025
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| author | Vashakidze, Nikoloz Assi, Chadi Elhattab, Mohamed Ghrayeb, Ali Khabbaz, Maurice J. |
| author_facet | Vashakidze, Nikoloz Assi, Chadi Elhattab, Mohamed Ghrayeb, Ali Khabbaz, Maurice J. |
| contents | This paper explores a joint optimization of transmit power allocation and radiation coefficients in a downlink Pinching Antenna SyStem (PASS) employing Non-Orthogonal Multiple Access (NOMA). By leveraging the PASS-enabled flexible channel adjustment and NOMA's power allocation adaptability, a sum rate maximization problem is formulated with the objective of simultaneously optimizing base station (BS)'s transmit power coefficients and pinching antenna (PA)'s radiation powers. Due to its non-convexity and complexity, the formulated optimization problem is challenging to solve directly. Hence, we decompose the main problem into two sub-problems, namely transmit power allocation sub-problem and PA radiation power allocation sub-problem. In the first sub-problem, closed-form solutions are derived for the BS's power allocation among NOMA users. Meanwhile, in the second sub-problem, we optimize the PA's radiation power utilizing successive convex approximation (SCA). These two sub-problems are solved alternatively using Alternating Optimization (AO) until convergence. It should be noted that decoding order plays a significant role in NOMA-assisted PASS. Hence, two variations of decoding order are considered, namely: i) a high-complexity exhaustive search approach, and, ii) a low-complexity alternative that utilizes pre-determined channel information. Numerical results show that our proposed approach substantially improves the system's sum-rate compared to widely adopted equal power allocation PASS schemes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_04861 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Joint Power Allocation and Radiation Optimization in NOMA-Assisted Pinching Antenna Systems Vashakidze, Nikoloz Assi, Chadi Elhattab, Mohamed Ghrayeb, Ali Khabbaz, Maurice J. Signal Processing This paper explores a joint optimization of transmit power allocation and radiation coefficients in a downlink Pinching Antenna SyStem (PASS) employing Non-Orthogonal Multiple Access (NOMA). By leveraging the PASS-enabled flexible channel adjustment and NOMA's power allocation adaptability, a sum rate maximization problem is formulated with the objective of simultaneously optimizing base station (BS)'s transmit power coefficients and pinching antenna (PA)'s radiation powers. Due to its non-convexity and complexity, the formulated optimization problem is challenging to solve directly. Hence, we decompose the main problem into two sub-problems, namely transmit power allocation sub-problem and PA radiation power allocation sub-problem. In the first sub-problem, closed-form solutions are derived for the BS's power allocation among NOMA users. Meanwhile, in the second sub-problem, we optimize the PA's radiation power utilizing successive convex approximation (SCA). These two sub-problems are solved alternatively using Alternating Optimization (AO) until convergence. It should be noted that decoding order plays a significant role in NOMA-assisted PASS. Hence, two variations of decoding order are considered, namely: i) a high-complexity exhaustive search approach, and, ii) a low-complexity alternative that utilizes pre-determined channel information. Numerical results show that our proposed approach substantially improves the system's sum-rate compared to widely adopted equal power allocation PASS schemes. |
| title | Joint Power Allocation and Radiation Optimization in NOMA-Assisted Pinching Antenna Systems |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2511.04861 |