Doubly Selective with Expectation Maximization based Massive-Mimo-Non-Orthogonal Multiple Access systems

Abstract

The Long-Term Evaluation (LTE) based Fourth Generation (4G) and Fifth Generation (5G) communications require higher data rates to satisfy the requirements of user equipment. However, it is a difficult task for conventional Multiple Input Multiple Output (MIMO) systems to deliver the highest throughput and data rates to end users. Additionally, an increase in data rates led to increased power consumption, which decreased spectrum efficiency and energy efficiency. Therefore, this paper focuses on the implementation of the Doubly Selective with Expectation Maximization (DSEM) channel estimation method for Massive-MIMO based Non-Orthogonal Multiple Access (NOMA) systems. Here, the DSEM scheme divides the channel into expectation and maximization vectors based on antenna diversity. Further, time sample and frequency band base dual channel analysis are performed to maintain the synchronization in the receiver. The simulations conducted using MatlabR2018a show that base station (BS) capacity, user equipment capacity, uplink (UL)-Spectrum Efficiency (SE), and downlink (DL)-SE performance measures are improved in Massive-MIMO-NOMA systems using DSEM channel estimation and shows the superior performance than state of art approaches.