A new Channel and QoS Aware Scheduler algorithm for real time and non real time traffic in 5G heterogeneous networks

5G mobile communication systems have increasing demands related to Quality of Service (QoS) parameters integrated with high user densification in heterogeneous network scenarios. In this sense, 5G networks are expected to handle a wide range of applications and services. Therefore, scheduling algori...

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Vydáno v:Revista IEEE América Latina Ročník 22; číslo 8; s. 659 - 669
Hlavní autoři: Andrade Queiroz, Gabriel, Rosa da Silva, Ederson
Médium: Journal Article
Jazyk:angličtina
Vydáno: Los Alamitos IEEE 01.08.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
5G heterogeneous networks
5G mobile communication
Algorithms
Channel and QoS Aware Scheduler
Delays
Densification
HTTP
Mobile communication systems
Network latency
Network reliability
non-real-time traffic
Quality of service
Quality of service architectures
Real time
real-time traffic
Scheduling
scheduling algorithm
Scheduling algorithms
Throughput
Traffic models
ISSN:1548-0992, 1548-0992
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Shrnutí:5G mobile communication systems have increasing demands related to Quality of Service (QoS) parameters integrated with high user densification in heterogeneous network scenarios. In this sense, 5G networks are expected to handle a wide range of applications and services. Therefore, scheduling algorithms that can benefit users of real-time (RT) and non-real-time (NRT) applications are studied. System-level simulations are carried out to analyze the performance of a new proposed Channel and Quality of Service Aware scheduler (CQAS) and compare it to Round Robin (RR), Best Channel Quality Indicator (CQI), and QoS Aware Scheduler (QAS) in a heterogeneous network with multiple traffic models while varying the number of users to stress test the network. The results show that CQAS has significant gains in overall throughput and latency while performing well in the reliability and fairness index.
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2024.10620389