Efficient Resource Allocation with Dynamic Traffic Arrivals on D2D Communication for Beyond 5G Networks
Objective
This paper proposes a novel optimization approach for device-to-device (D2D) communication in B5G networks, enhancing spectral efficiency and minimizing latency through power control and resource allocation algorithms.
Abstract
A developing technology for networks beyond fifth generation (B5G) that supports important aspects including lower power consumption, high data rates, and spectrum efficiency is called device-to-device (D2D) communication. One of the main problems brought on by dynamic traffic arrivals in D2D networks is the efficient allocation of spectrum and the optimal regulation of power. This paper suggests a novel way to optimize the D2D network's spectral efficiency. A mixed-integer nonlinear programming problem (MINLP) has been formulated. Nevertheless, it is challenging to directly solve the global optimal solution because of its complexity. A two-step optimization technique is presented: the optimal power control algorithm, which adapts the Lyapunov stability method, and the optimal resource allocation algorithm (ORAA), which makes use of the idea of queue dynamics. Compared to the benchmark methods, the suggested solution minimizes latency up to 39.89% and achieves improved spectral efficiency up to 21.6%. The suggested approach will be extremely helpful in intelligent traffic control to enhance intelligent transportation systems.
Keywords—Device-to-Device communication, Beyond fifth generation (B5G), Dynamic traffic arrival, Resource allocation, Lyapunov optimization.
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Block Diagram
Specifications
Software: Matlab 2020a 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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