Ergodic Capacity Analysis for Reconfigurable Intelligent Surfaces-Assisted Wireless System

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Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/113254

Title:	Ergodic Capacity Analysis for Reconfigurable Intelligent Surfaces-Assisted Wireless System
Authors:	Umamahrswari, Kaveti
Contributors:	資訊工程學系
Keywords:	Ergodic capacity、Outage Probability、Reconfiguarble Intelligent Surfaces(RIS)、Non-orthogonal multiple access (NOMA)、Rayleigh and Rician fading channels
Date:	2022
Issue Date:	2022-06-15 03:05:35 (UTC+0)
Publisher:	亞洲大學
Abstract:	The main purpose of this dissertation is to evaluate ergodic capacity analysis for reconfigurable intelligent surfaces (RIS) assisted wireless systems under various channel environments. Tight upper bounds for the ergodic capacity of the proposed system will be derived from this research. To improve the capacity of the system, RIS is deployed, creating additional paths in the system. In this research project, we will learn about the ergodic capacity, which is considered to be the upper bound of the capacity that is on a statistical channel. Moreover, it can be evaluated by making use of averaging all the capacity for a particular period of time for an infinite interval of time. From the thesis, we will find that ergodic capacity can be easily achieved with the help of instantaneous feedback received. Besides that, ergodic capacity is determined to be a good performance limit indicator that is used for the purpose of delaying insensitive services. The ergodic capacity is considered to be the maximum rate achieved for making the fades block able. In the case of this thesis, we will conduct an in-depth investigation regarding it. In this the-sis, we will also get evidence of the ergodic capacity of the different fading channels, which is also studied under both averages and at the peak for making the power to be transmitted. It is mainly because the control of the source unit is determined to be more flexible under average interference types of power constraints. In other words, to make the determination to be done traditionally, two of the channel capacities are mainly introduced. Additionally, we will also deter-mine the outage probability of the RIS-aided NOMA system in two different methods for multiple users. The use of NOMA, which serves multiple users at the same time, is mainly dependent on the position of the user. Due to its better spectral efficiency, NOMA is expected to be a potential multiple access strategy for 5G networks. This communication's ergodic capacity optimization issue for numerous users across channel estimation has been investigated under this communication. NOMA systems with statistical channel state information. It assists both perfect and low-difficulty suboptimal power allocation techniques in maximizing the ergodic capacity of a NOMA system with a total transmit power constraint and a moderate user's standard rate requirement. In the case of the new communication techniques, they have been used intensively for cooperative communication development. There will be simulation results, for which analysis will also be done in the research.
Appears in Collections:	[資訊工程學系] 博碩士論文

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