HyDNN: A hybrid deep learning framework based multiuser uplink channel estimation and signal detection for NOMA-OFDM system
Deep learning (DL) techniques can significantly improve successive interference
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …
Multi-user joint detection using bi-directional deep neural network framework in NOMA-OFDM system
Non-orthogonal multiple access (NOMA) has great potential to implement the fifth-
generation (5G) requirements of wireless communication. For a NOMA traditional detection …
generation (5G) requirements of wireless communication. For a NOMA traditional detection …
Optimal user scheduling in multi antenna system using multi agent reinforcement learning
Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from
the research community due to their potential to improve data rates. However, a suitable …
the research community due to their potential to improve data rates. However, a suitable …
Deep learning-based sequential models for multi-user detection with M-PSK for downlink NOMA wireless communication systems
B Panda, P Singh - Annals of Telecommunications, 2023 - Springer
Non-orthogonal multiple access (NOMA) techniques have the potential to achieve large
connectivity requirements for future-generation wireless communication. NOMA detection …
connectivity requirements for future-generation wireless communication. NOMA detection …