In this letter we consider a resource allocation problem for multi-user MIMO non orthogonal multiple access (MU-MIMO-NOMA) downlink transmissions. Under the NOMA paradigm, users are organized in clusters of strong/weak pair and our aim is to find an optimal clustering, beamforming and power allocation scheme to minimize the power transmitted subject to a rate constraint for each user. Since the joint optimization problem is intractable, we split it in three sub-problems: clustering, which is formulated as a mixed integer linear programming (MILP) problem, beamforming and power allocation. Simulations results show that the our proposed scheme greatly outperforms both the classical OMA scheme and state-of-the-art NOMA techniques.
|Titolo:||A Quasi-Optimal Clustering Algorithm for MIMO-NOMA Downlink Systems|
|Citazione:||Saggese, F., Moretti, M., & Abrardo, A. (2020). A Quasi-Optimal Clustering Algorithm for MIMO-NOMA Downlink Systems. IEEE WIRELESS COMMUNICATIONS LETTERS, 9(2), 152-156.|
|Appare nelle tipologie:||1.1 Articolo in rivista|