Robustness of NOMA in HetNets: Impact of Hardware Impairments and Imperfect CSI
To meet the ever-growing demands of sixth-generation (6G) wireless networks, this letter investigates the integration of non-orthogonal multiple access (NOMA) in multi-tier heterogeneous cellular networks (HCNs) comprising macro-base stations (MBS) and pico-base stations (PBS). By leveraging NOMA, we aim to enhance spectral efficiency and maximize data rates, making it a promising candidate for the next-generation wireless systems. Utilizing stochastic geometry, we conduct a comprehensive performance analysis under practical conditions, accounting for transceiver hardware impairments (HIs) and imperfect channel state information (i-CSI). Key performance metrics—including outage probability, system throughput, and energy efficiency—are evaluated and compared against OMA under both ideal and non-ideal scenarios. The results reveal that NOMA maintains a significant performance advantage over OMA, even in the presence of HIs and i-CSI, demonstrating its resilience and practicality for real-world multi-tier HCN deployments.
Authors
- Nandana Rajatheva (ORCID: https://orcid.org/0000-0002-7029-5583)
- Abhinav Singh Parihar (ORCID: https://orcid.org/0000-0003-4580-9340)
- Matti Latva‐aho (ORCID: https://orcid.org/0000-0002-6261-0969)
- Vimal Bhatia (ORCID: https://orcid.org/0000-0001-5148-6643)
- Divyanshi Singh
- Amit Baghel (ORCID: https://orcid.org/0000-0002-1526-7125)
Institutions
- Indian Institute of Information Technology Allahabad (IN)
- Indian Institute of Science Education and Research, Bhopal (IN)
- Indian Institute of Technology Indore (IN)
- University of Oulu (FI)
Publication Details
- Journal
- IEEE Wireless Communications Letters
- Published
- 2025-09-03
- DOI
- https://doi.org/10.1109/lwc.2025.3605209
- Citations
- 1
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.84