Hybrid SLPC using Enhanced Deep secure Symbol level Auto encoder for Massive MIMO-NOMA Communication

The main concept of future generation networks is utilizing the spectrum efficiently and also provides good quality of service to the end users. To facilitate this, different techniques like spectrum sharing, multiple input Multiple Output (MIMO), Cognitive Radio network and Non-Orthogonal Multiple Access (NOMA) schemes has been introduced. Hence, the NOMA and MIMO also combined in small scale MIMO. But in Massive MIMO, the utilization of NOMA results in poor retrieval of data at the receiver side. This hybrid pre-coder differentiates the symbols effectively in MIMO-NOMA that helps to utilize same frequency for multiple transmitters. The results showed that the proposed method utilized the spectrum efficiently by achieving 45 bits/s/Hz at SNR=10 dB for 64 transmitting and its corresponding BER is below 0.001. This shows that the proposed E-DSSLAE is best SLPC scheme for MIMO-NOMA for facilitating multiple users at a same frequency with better quality of service to the users.