A Gradual Resource Allocation Technique for Massive MIMO-NOMA

Eric Pierre Simon (1, 2) , Joumana Farah (3) , Pierre Laly (2, 4) , Gauthier Delbarre (2, 4)

1 TELICE - IEMN - Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN
2 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520
3 LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]
4 PCMP - IEMN - Plateforme de Caractérisation Multi-Physiques - IEMN

In this paper, a new perspective for channel allocation and user pairing is proposed for a crowded downlink system using massive multiple-input multiple-output (MIMO), non-orthogonal multiple access (NOMA), and Zero-forcing (ZF) beamforming. The proposed user clustering technique allocates users to subbands and beams by a gradual relaxation of the correlation constraints in such a way to enhance the conditioning of the channel matrix. Channel measurements are performed in this context to validate the proposed technique in an experimental setup. Results show an important gain in performance in terms of both throughput and fairness with respect to orthogonal multiple access and to two state-of-the-art NOMA clustering methods.

Mots clés: Non Orthogonal Multiple Access; Massive Multiple-Input Multiple-Output; Zero-Forcing Beamforming; Channel Allocation; Channel Mearsurements

Domaines: Sciences de l'ingénieur [physics]

Eric Pierre Simon, Joumana Farah, Pierre Laly, Gauthier Delbarre. A Gradual Resource Allocation Technique for Massive MIMO-NOMA. IEEE Antennas and Wireless Propagation Letters, 2022, 21 (3), pp.476-480. ⟨10.1109/LAWP.2021.3135981⟩. ⟨hal-03497334⟩