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.

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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
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Robustness of NOMA in HetNets: Impact of Hardware Impairments and Imperfect CSI

Nandana Rajatheva, Abhinav Singh Parihar, Matti Latva‐aho, Vimal Bhatia et al.
1 citations
IEEE Wireless Communications Letters
Brain Tumor Detection and Classification
0.84
article

Robustness of NOMA in HetNets: Impact of Hardware Impairments and Imperfect CSI

Nandana Rajatheva, Abhinav Singh Parihar, Matti Latva‐aho, Vimal Bhatia, Divyanshi Singh, Amit Baghel
article en
1 citations

Abstract

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.

IEEE Wireless Communications LettersVol. 14(12)
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)
Openalex Percentile: Top 22%
Brain Tumor Detection and Classification
0.84
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Robustness of NOMA in HetNets: Impact of Hardware Impairments and Imperfect CSI — Nandana Rajatheva, Abhinav Singh Parihar, et al. · IEEE Wireless Communications Letters (2025) | TGRS Research Map | TGRS