Throughput Maximization in RIS-Assisted NOMA-THz Communication Network
Objective
This study presents a joint power allocation and RIS phase shift optimization algorithm to enhance sum-rate and spectral efficiency in RIS-assisted NOMA-THz downlink communication systems.
Abstract
This paper proposes a novel joint power allocation and RIS phase shift optimization algorithm for Reconfigurable Intelligent Surface (RIS)-assisted NOMA-THz communication systems. The method aims to maximize downlink aggregated sum-rate by integrating the benefits of Non-Orthogonal Multiple Access (NOMA) with RIS reflection optimization in terahertz (THz) bands. The optimization problem is formulated to jointly determine the transmit power coefficients at the access point and the RIS phase shift matrix, subject to user QoS constraints. Due to its non-convex nature, the problem is decomposed into two convex sub problems, each solved iteratively using an alternating optimization approach and convex approximation techniques. Simulation results demonstrate that the proposed method achieves significant performance gains compared to existing benchmark schemes such as FDMA and NOMA with random phase shifts, improving overall system throughput and spectral efficiency. This approach offers a practical solution for enhancing 6G wireless network capacity and reliability.
Keywords: RIS, NOMA, THz communications, joint optimization, power allocation, phase shift optimization, sum-rate maximization, 6G.
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Block Diagram
Specifications
Software: Matlab 2022b or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is Communication?
· About Communication
· Introduction to Communication
· How Communication Works?
· Importing the System Design, Characterization and Visualization
· Analyzing of BER tool
· Analyzing of Error Rate Test Console
· Generation of WSN
· WSN network creation
· Nodes Communication
· Clustering
· Routing
· Convolutional
· Equalization and Synchronization etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
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