Performance analysis of NOMA using different coding techniques

Abstract

To date, Non-Orthogonal Multiple Access (NOMA) is the best and most compatible technique to support for the incoming Fifth Generation (5G). However, the NOMA performance is affected by noise, interference and poor signal strength during transmission. Channel coding is required to correct transmission errors due to error propagation, Therefore, channel coding is an important technique that can detect and correct errors at the receiver side. This paper analyses the performance comparison of different channel coding schemes in order to suggest the optimum channel coding scheme for the 5G mobile communication system. The Bit Error Rate (BER) is being evaluated to assure that better performance can be achieved. The simulation was done using The Vienna 5G Link Level Simulator (LLS). The result of BER shows that LDPC perform better than Turbo and Convolutional which is 3.4×10−1 for cell centred user and 4×10−2 for cell-edge user.

A Low-Complexity Coding Scheme for NOMA

“…The concord of the theoretical and practical results of equations (18) and (21) proves the correctness of the mathematical calculations of different power allocation coefficients, and this is very clear, as can be seen in Fig. 3.…”

“…Moreover, a resource-pattern-aided bit-interleaved NOMA was proposed in [17], where the LDPC code was integrated with this NOMA system. The authors in [18] has investigated the performance of the NOMA system when different coding schemes are utilized and they deducted that the LDPC code outperforms the Turbo and convolutional codes. Despite the efficiency of these coding schemes in orthogonal multiple access (OMA) communication systems, they are not designed to deal with particularity of NOMA, i.e.…”

A Survey of NOMA-Aided Cell-Free Massive MIMO Systems

“…LDPC codes are found to offer better performance when applied to NOMA [121]. The application of LDPC to CF-mMIMO systems can boost reliability.…”

Advanced hybrid algorithms for precise multipath channel estimation in next-generation wireless networks

“…When implemented in real-time on digital signal processors, these work better than soft-decision algorithms, achieving faster convergence and less processing time and memory usage. For comparative purposes, this work examined an LDPC code based on 5G requirements [22]. The decoding process employs the Min-Sum algorithm, highlighting its efficiency in terms of error correction within the 5G network framework.…”