Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A Survey of Downlink Non-orthogonal Multiple Access for 5G Wireless Communication Networks
Uplink Non-Orthogonal Multiple Access for 5G Wireless Networks
Receiver Design for Downlink Non-Orthogonal Multiple Access (NOMA)
A Precoding-Based Multicarrier Non-Orthogonal Multiple Access Scheme for 5G Cellular Networks
Non-orthogonal Multiple Access in a Downlink Multiuser Beamforming System
On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems
SCMA for Downlink Multiple Access of 5G Wireless Networks
Power and Channel Allocation for Non-orthogonal Multiple Access in 5G Systems: Tractability and Computation
Resource Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) for Future Radio Access
Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
Non-Orthogonal Multiple Access (NOMA) in Cellular Uplink and Downlink: Challenges and Enabling Techniques
Pattern Division Multiple Access—A Novel Nonorthogonal Multiple Access for Fifth-Generation Radio Networks
Non-Orthogonal Multiple Access in Multi-Cell Networks: Theory, Performance, and Practical Challenges
Modulation and Multiple Access for 5G Networks
Millimeter-Wave Communication with Non-Orthogonal Multiple Access for 5G
System-level performance evaluation of downlink non-orthogonal multiple access (NOMA)
Non-Orthogonal Multiple Access (NOMA) for Downlink Multiuser MIMO Systems: User Clustering, Beamforming, and Power Allocation
Performance of Non-Orthogonal Multiple Access (NOMA) in mmWave wireless communications for 5G networks
Evaluations of downlink non-orthogonal multiple access (NOMA) combined with SU-MIMO
Design of Cooperative Non-Orthogonal Multicast Cognitive Multiple Access for 5G Systems: User Scheduling and Performance Analysis
Non-Orthogonal Multiple Access: A Unified Perspective
CIAL at the NTCIR-13 STC-2 Task
Classification of Building Information Model (BIM) Structures with Deep Learning
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Transmit power adaptation for multiuser OFDM systems
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