WMMSE resource allocation for FD-NOMA
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2019
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| _version_ | 1866910050852798464 |
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| author | Abrardo, Andrea Moretti, Marco Saggese, Fabio |
| author_facet | Abrardo, Andrea Moretti, Marco Saggese, Fabio |
| contents | Power and channel allocation in interference-limited systems is a key enabler for beyond 5G (B5G) technologies, such as multi-carrier full duplex non-orthogonal multiple access (FD-NOMA). In FD-NOMA systems power allocation is a very computationally intense non-convex problem due to the presence of strong interference and the integrality condition on channel allocation. In this paper, we propose an iterative power allocation algorithm based on the minimization of the weighted mean square error, which converges to a feasible allocation of the original problem. Experimental results show that the proposed algorithm has by far the lowest complexity among other state-of-the-art solutions. Moreover, they assess the validity of our approach showing performance close to the theoretical optimum. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_1905_06681 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | WMMSE resource allocation for FD-NOMA Abrardo, Andrea Moretti, Marco Saggese, Fabio Signal Processing Power and channel allocation in interference-limited systems is a key enabler for beyond 5G (B5G) technologies, such as multi-carrier full duplex non-orthogonal multiple access (FD-NOMA). In FD-NOMA systems power allocation is a very computationally intense non-convex problem due to the presence of strong interference and the integrality condition on channel allocation. In this paper, we propose an iterative power allocation algorithm based on the minimization of the weighted mean square error, which converges to a feasible allocation of the original problem. Experimental results show that the proposed algorithm has by far the lowest complexity among other state-of-the-art solutions. Moreover, they assess the validity of our approach showing performance close to the theoretical optimum. |
| title | WMMSE resource allocation for FD-NOMA |
| topic | Signal Processing |
| url | https://arxiv.org/abs/1905.06681 |