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2025 article

Outage Performance of Cognitive NOMA Incremental Relay Networks With Imperfect CSI and Residual Hardware Impairments

2Citations signalées — pas une note de qualité
4Institutions déclarées
1Pays d’affiliation déclarés

Résumé fourni par la source

Non-orthogonal multiple access (NOMA)-enabled incremental relaying can significantly enhance spectrum efficiency and boost the performance of cognitive radio (CR) networks. However, imperfect channel state information (CSI) due to estimation errors, and hardware impairments (HIs) caused by phase noise, quantization errors, and nonlinearities, introduce new complexities in CR-NOMA networks. In this work, we investigate the transmission strategy in HIs and imperfect CSI built-in cooperative NOMA networks. First, a system model with HIs and imperfect CSI is designed, in which multiple CR relays coexist to achieve the incremental relaying. Second, a multi-relay incremental relaying strategy is proposed, where all relays (successfully decoding the information to the destination) can cooperate to forward the information, thereby improving the network performance. More especially, the exact and asymptotic expressions of outage probability as well as the throughput are explicitly derived. Third, to get a comparable strategy, a best-relay incremental relaying strategy is further constructed, selecting the one with the highest signal-to-noise ratio (SNR) among all successful relays to assist the destination. Finally, the correctness of theoretical analyses for both strategies are verified by simulations, and the impact of different network parameters on performance are validated through simulations.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Outage Performance of Cognitive NOMA Incremental Relay Networks With Imperfect CSI and Residual Hardware Impairments
Date Crossref
01/02/2026
Éditeur
Institute of Electrical and Electronics Engineers (IEEE)
Type
journal-article

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Institutions déclarées

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Sujets associés

Advanced Wireless Communication TechnologiesPAPR reduction in OFDMCognitive Radio Networks and Spectrum Sensing

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