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NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications

Mylene Pischella 1 Didier Le Ruyet 1 
1 CEDRIC - LAETITIA - CEDRIC. Traitement du signal et architectures électroniques
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : This letter focuses on clustering and resource block (RB) allocation in multi-carrier uplink networks using power-domain non orthogonal multiple access (PD-NOMA). The optimization objective is time-based proportional fairness. PD-NOMA is applied per frame and RB only if the achieved individual data rates are larger with PD-NOMA than with time division multiple access. The clustering algorithm recur-sively uses maximum weight matching to build clusters per RB. Given the clusters, RB allocation is then optimal. The proposed algorithm provides a good trade-off between reduced overall network latency and rate improvement compared to two reference algorithms.
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Mylene Pischella, Didier Le Ruyet. NOMA-Relevant Clustering and Resource Allocation for Proportional Fair Uplink Communications. IEEE Wireless Communications Letters, IEEE comsoc, 2019, 8 (3), pp.873-876. ⟨10.1109/LWC.2019.2897796⟩. ⟨hal-02446283⟩



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