Energy-Efficient Utility Function-Based Channel Resource Allocation and Power Control for D2D Clusters with NOMA Enablement in Cellular Networks
Objective
The objective is this study is to Develop an energy-efficient utility function to optimize channel resource allocation and power control for D2D clusters in NOMA-enabled cellular networks. Enhance system performance by reducing interference and maximizing spectral efficiency while minimizing energy consumption. Validate the proposed scheme through rigorous analysis and simulations to demonstrate improvements in network throughput, energy efficiency, and overall utility.
Abstract
Device-to-device (D2D) communication combined with non-orthogonal multiple access (NOMA) can further improve the quality of service for future communications systems, while also improving spectrum utilization and connection density in cellular networks. In this study, an effective power allocation technique is developed to maximize the performance of a D2D communication system based on NOMA for imperfect Successive Interference Cancellation (SIC) decoding. To overcome the non-convexity of the problem due to integer limitations and coupling variables, an alternate optimization method was developed to determine the optimal solution for each subproblem utilizing Lagrange duality analysis and the sub-gradient descent method. Finally, the numerical simulation results demonstrate the advantages of the proposed joint optimization strategy for energy efficiency in power control and channel resource allocation.
Keywords—Non-orthogonal Multiple Accesses, D2D Channel Resource Allocation, Power Allocation, Lagrange Duality Analysis.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab R2022b
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
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
Paper Publishing
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