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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/2506.01400 |
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| _version_ | 1866910980241358848 |
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| author | Naeem, Ahmed Gharib, Anastassia Arslan, Hüseyin |
| author_facet | Naeem, Ahmed Gharib, Anastassia Arslan, Hüseyin |
| contents | Water-filling (WF) algorithms are pivotal in maximizing capacity and spectral efficiency in multiple-input and multiple-output (MIMO) systems. However, traditional WF approaches cater solely to communication requirements, neglecting the emerging heterogeneity of 6G, including sensing and joint radar-communication (JRC). As these diverse demands grow in importance and have different Quality of Service (QoS) constraints, traditional WF becomes inadequate. Therefore, in this paper, we propose a unified interference-aware and QoS-constrained WF algorithm for systems with communication, sensing, and JRC. The proposed algorithm enables power allocation for multi-user MIMO systems, effectively addressing interference and balancing the support for heterogeneous user requirements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_01400 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unified Interference-Aware Water-Filling for QoS-Constrained Communication, Sensing, and JRC Naeem, Ahmed Gharib, Anastassia Arslan, Hüseyin Signal Processing Water-filling (WF) algorithms are pivotal in maximizing capacity and spectral efficiency in multiple-input and multiple-output (MIMO) systems. However, traditional WF approaches cater solely to communication requirements, neglecting the emerging heterogeneity of 6G, including sensing and joint radar-communication (JRC). As these diverse demands grow in importance and have different Quality of Service (QoS) constraints, traditional WF becomes inadequate. Therefore, in this paper, we propose a unified interference-aware and QoS-constrained WF algorithm for systems with communication, sensing, and JRC. The proposed algorithm enables power allocation for multi-user MIMO systems, effectively addressing interference and balancing the support for heterogeneous user requirements. |
| title | Unified Interference-Aware Water-Filling for QoS-Constrained Communication, Sensing, and JRC |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2506.01400 |