An Analytical Model of a System with Compression and Queuing for Selected Traffic Flows
Objective
To develop a priority-aware analytical queuing model with class-dependent compression thresholds for multi-service 5G systems, enabling efficient resource allocation and improved QoS differentiation across heterogeneous traffic classes.
Abstract
This paper presents a priority-aware analytical model for multi-service queuing systems supporting heterogeneous traffic flows in next-generation 5G networks. Extending the base model of Hanczewski et al., we introduce class-dependent compression thresholds that differentiate Quality of Service (QoS) among stream, elastic, and adaptive traffic classes. The proposed model employs a three-dimensional Markov state space (ns, ne, na) to independently track allocation units occupied by each traffic class within a shared server augmented with virtual compression capacity and a finite queue. Per-class compression coefficients and normalisation factors, derived analytically across three occupancy regions, enable precise modelling of priority-differentiated resource allocation. High-priority elastic traffic receives an enlarged server budget, reducing blocking probability, while low-priority adaptive traffic is penalised through a reduced threshold, freeing server resources. Numerical results confirm that the extension achieves lower elastic blocking, reduced average queue length, and quantifiable QoS differentiation, demonstrating suitability for URLLC and eMBB network slicing scenarios.
Keywords: analytical model; multi-service queuing system; compression mechanism; priority-aware resource allocation; blocking probability; 5G network slicing; URLLC; eMBB; Markov processes; elastic and adaptive trafficNOTE: 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 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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