A Matching-Theoretic Approach to Antenna Selection in Alamouti STBC-Based Clustered NOMA Networks.

This paper considers joint antenna selection and power allocation (J-AS-PA) for Alamouti space-time block coding (STBC)-based clustered non-orthogonal multiple-access (NOMA) networks. Essentially, the aim is to assign a pair of antennas to each user cluster and perform power allocation to maximize the network sum-rate, while satisfying quality-of-service requirements. However, the problem is non-convex and computationally-expensive. In turn, it is split into two sub-problems; antenna selection, and power allocation over each (user cluster, antenna pairs) combination, and then solved using a two-stage algorithm. In Stage 1, antenna selection is solved using the stable marriage matching algorithm, whereas the power allocation problem is reformulated as a concave maximization problem. In Stage 2, a swap matching algorithm is devised to ensure stability and improve the network sum-rate. Simulation results illustrate that the proposed solution procedure achieves a near-optimal network sum-rate, and is superior to the OMA-based network.