Iterative Interference Cancellation for Clustered Cell-Free Massive MIMO Networks
In this letter, we propose an iterative soft interference cancellation scheme for intra-cluster (ICL) and out-of-cluster (OCL) interference mitigation in user-centric clustered cell-free massive multiple-antenna networks. We propose a minimum mean-square error receive filter with a novel modified parallel interference cancellation scheme to mitigate ICL and OCL interference. Unlike prior work, we model the OCL interference and devise a least squares estimator to perform OCL interference estimation. An iterative detection and decoding scheme that adopts low-density parity check codes and incorporates the OCL interference estimate is developed. Simulations assess the proposed scheme against existing techniques in terms of bit error rate performance.
Authors
- Lukas T. N. Landau (ORCID: https://orcid.org/0000-0003-4777-5885)
- Tonny Ssettumba (ORCID: https://orcid.org/0000-0002-2185-3673)
- Rodrigo C. de Lamare (ORCID: https://orcid.org/0000-0003-2322-6451)
- Saeed Mashdour (ORCID: https://orcid.org/0000-0001-9599-9870)
- Paulo Ricardo Branco da Silva (ORCID: https://orcid.org/0000-0002-4599-6345)
Institutions
- Pontifícia Universidade Católica do Rio de Janeiro (BR)
- Centre for Research and Development in Telecommunications (Brazil) (BR)
Publication Details
- Journal
- IEEE Wireless Communications Letters
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1109/lwc.2024.3512497
- Citations
- 1
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- CPqD
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro