Achieving Optimal Performance-Cost Trade-Off in Hierarchical Cell-Free Massive MIMO
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909757902684160 |
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| author | Jiang, Wei Schotten, Hans D |
| author_facet | Jiang, Wei Schotten, Hans D |
| contents | Cell-free (CF) massive MIMO offers uniform service via distributed access points (APs), which impose high deployment costs. A novel design called hierarchical cell-free (HCF) addresses this problem by replacing some APs with a central base station, thereby lowering the costs of fronthaul network (wireless sites and fiber cables) while preserving performance. To identify the optimal uplink configuration in HCF massive MIMO, this paper provides the first comprehensive analysis, benchmarking it against cellular and CF systems. We develop a unified analytical framework for spectral efficiency that supports arbitrary combining schemes and introduce a novel hierarchical combining approach tailored to HCF two-tier architecture. Through analysis and evaluation of user fairness, system capacity, fronthaul requirements, and computational complexity, this paper identifies that HCF using centralized zero-forcing combining achieves the optimal balance between performance and cost-efficiency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20704 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Achieving Optimal Performance-Cost Trade-Off in Hierarchical Cell-Free Massive MIMO Jiang, Wei Schotten, Hans D Information Theory Signal Processing Cell-free (CF) massive MIMO offers uniform service via distributed access points (APs), which impose high deployment costs. A novel design called hierarchical cell-free (HCF) addresses this problem by replacing some APs with a central base station, thereby lowering the costs of fronthaul network (wireless sites and fiber cables) while preserving performance. To identify the optimal uplink configuration in HCF massive MIMO, this paper provides the first comprehensive analysis, benchmarking it against cellular and CF systems. We develop a unified analytical framework for spectral efficiency that supports arbitrary combining schemes and introduce a novel hierarchical combining approach tailored to HCF two-tier architecture. Through analysis and evaluation of user fairness, system capacity, fronthaul requirements, and computational complexity, this paper identifies that HCF using centralized zero-forcing combining achieves the optimal balance between performance and cost-efficiency. |
| title | Achieving Optimal Performance-Cost Trade-Off in Hierarchical Cell-Free Massive MIMO |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2508.20704 |