Unknown Interference Modeling for Rate Adaptation in Cell-Free Massive MIMO Networks
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911845010374656 |
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| author | Zaher, Mahmoud Björnson, Emil Petrova, Marina |
| author_facet | Zaher, Mahmoud Björnson, Emil Petrova, Marina |
| contents | Co-channel interference poses a challenge in any wireless communication network where the time-frequency resources are reused over different geographical areas. The interference is particularly diverse in cell-free massive multiple-input multiple-output (MIMO) networks, where a large number of user equipments (UEs) are multiplexed by a multitude of access points (APs) on the same time-frequency resources. For realistic and scalable network operation, only the interference from UEs belonging to the same serving cluster of APs can be estimated in real-time and suppressed by precoding/combining. As a result, the unknown interference arising from scheduling variations in neighboring clusters makes the rate adaptation hard and can lead to outages. This paper aims to model the unknown interference power in the uplink of a cell-free massive MIMO network. The results show that the proposed method effectively describes the distribution of the unknown interference power and provides a tool for rate adaptation with guaranteed target outage. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_12148 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Unknown Interference Modeling for Rate Adaptation in Cell-Free Massive MIMO Networks Zaher, Mahmoud Björnson, Emil Petrova, Marina Signal Processing Information Theory Co-channel interference poses a challenge in any wireless communication network where the time-frequency resources are reused over different geographical areas. The interference is particularly diverse in cell-free massive multiple-input multiple-output (MIMO) networks, where a large number of user equipments (UEs) are multiplexed by a multitude of access points (APs) on the same time-frequency resources. For realistic and scalable network operation, only the interference from UEs belonging to the same serving cluster of APs can be estimated in real-time and suppressed by precoding/combining. As a result, the unknown interference arising from scheduling variations in neighboring clusters makes the rate adaptation hard and can lead to outages. This paper aims to model the unknown interference power in the uplink of a cell-free massive MIMO network. The results show that the proposed method effectively describes the distribution of the unknown interference power and provides a tool for rate adaptation with guaranteed target outage. |
| title | Unknown Interference Modeling for Rate Adaptation in Cell-Free Massive MIMO Networks |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2404.12148 |