Resource Allocation Analysis using Power Domain Sparse Code Multiple Access

A new technique for fifth-generation (5G) cellular networks in Multiple Access (MA) called Power domain sparse code multiple access (PSMA) is proposed in this paper. It is then analyzed using resolute decoding and dynamic decoding respectively. In PSMA, a hybrid of both code domain and power domain resource elements are used to transmit encoded signals of multiple users over a set of subcarriers or frequencies simultaneously. Same codebook is used by more than one user whereas, for these users with the same codebook, encoded signals are sent non-orthogonally using Power Domain Non-Orthogonal Multiple Access (PD-NOMA) technique. Inter-cell interference is caused in-between users because of the usage of the same codebook for multiple users at any given point of time. Especially, the receiver part of the PSMA system has been utilized, where the main focus is inclined towards solving the bi-pirate graph/ Factor graph. This graph is formed from the many to many relationships between the Factor nodes and Variable nodes. Our primary analysis showed improved decoding accuracy as well as effective spectral usage if this system is made to work dynamically. So, to tackle these new parameters, this research work has developed a hybrid system that performs user detection by using compressive sensing algorithm and then data detection of these active users is done by using message passing algorithm (MPA). This system considers the multiple users present in a single cell. This paper mainly focuses to maximize the system's resource allocation capacity and error correcting capability when it is subjected to a similar set of network and resource constraints. The proposed system formulates a set of N users, where K users are actively considered. Decoding is done by using Orthogonal Matching Pursuit-Message Passing Algorithm (OMP-MPA). Finally, the effectiveness of the proposed decoder is investigated using numerical results and corresponding graphs.