Non-orthogonal Multiple Access (NOMA) provides use of the power domain to boost system efficiency in the spectrum. This letter explores the use of a new transceiver design and non-orthogonal multiple access (NOMA) for MIMO uplinks. The overall energy use can be reduced while still meeting individual rate requirements by utilizing a new NOMA implementation scheme with group interference cancellation. Jamming attacks can target NOMA communication. MIMO technology is used to implement anti-jamming regulations in NOMA systems. While subsequent interference cancellation utilized to get rid of between groups interference, interference nulling at the transmitters and equalizers at the jointly designed receivers for improved power system efficiency. Where the transmitter is side, interference nulling techniques have been developed. By using the above technique, the total power consumption (dBm) which it required which it is less when compare to traditional technique like orthogonal multiple access (OMA). The outcomes of the simulation show that, in comparison to both signal alignment NOMA and orthogonal multiple-use communication, the proposed NOMA scheme typically requires less power.

Multiple access technologies have grown hand in hand from the first generation to the 5th Generation (5G) with both performance and quality improvement. Non-Orthogonal Multiple Access (NOMA) is the recent multiple access technology adopted in the 5G communication technology. Capacity requirements of wireless networks have grown to a large extent with the penetration of ultra-high-definition video transmission, Internet of Things (IoT), and virtual reality applications taking ground in the recent future. This paper develops the Physical Layer Network Coding (PNC) for collision resolution in a NOMA environment with two users. Traditionally NOMA uses Successive Interference Cancellation (SIC) for collision resolution. While additionally a decoding algorithm is added along with SIC to improve the performance of the collision resolution. MATLAB-based simulation is developed on the NOMA environment with two users using Viterbi coding, Low-Density Parity Check (LDPC), and Turbo coding. Performance parameters of Bit Error Rate (BER) and throughput are compared for these three algorithms. It is observed that the Turbo coding performed better among these three algorithms both in the BER and throughput. The BER obtained from the SIC- Turbo is found to be performing well with an increase of about 14% from the ordinary SIC implementation. The performance of the collision resolution has increased by 13% to 14% when joint decoding techniques are used and thus increasing the throughput of the NOMA paradigm.