An Investigation of Channel Estimation in RIS-NOMA with the 6G Network

Abstract

 The integration of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is suggested as a solution to address the requirements for information rate, latency addition, and accessibility in sixth-generation (6G) networks. The two methodologies may synergistically reinforce one another to enhance the efficiency of the 6G system. Channel estimation (CE) is a significant challenge in a system that utilizes RIS. In this regard, this paper serves as a comprehensive resource for researchers, academicians, and industry professionals seeking an in-depth understanding of the framework and developments in 6G wireless technology, thereby contributing to the ongoing discourse on the future of wireless communication systems. Furthermore, this article meticulously compares the efficacy of distinct techniques employed in CE. The comparative analysis serves as a comprehensive guide, elucidating the strengths and limitations of each approach. the article contributes to the ongoing discourse on channel estimation, offering valuable insights for researchers, practitioners, and stakeholders engaged in the evolution of wireless communication systems. This article endeavors to provide a comprehensive overview of the individual merits of RISs and NOMA while delving into the synergies created through their integration. The confluence of RISs and NOMA holds the promise of overcoming existing limitations in communication networks, paving the way for unprecedented advancements in 6G. Utilizing an in-depth exploration of these paradigms, this paper contributes to the essential knowledge required for the evolution of wireless communication networks toward the 6G frontier.