Publicação: A new channel and QoS-aware scheduling algorithm for real-time and non-real-time traffic in 5G heterogeneous networks
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CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA::TELECOMUNICACOES::SISTEMAS DE TELECOMUNICACOES
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5G mobile communication systems present growing demands aimed at Quality of Service
(QoS) requirements combined with the high densification of users in a heterogeneous network
infrastructure (HetNet). Thus, 5G networks are expected to accommodate various applications
and services. Therefore, it is necessary to develop scheduling methods that can benefit both
real-time (RT) and non-real-time (NRT) services. In this sense, we propose two new scheduling
algorithms, the Weighted QoS Aware Scheduler (WQAS) and the Channel and QoS Aware
Scheduler (CQAS), in a HetNet scenario characterized by the diversity of traffic models: full
buffer (IoT), HTTP, vehicular, VoIP, gaming, and video. System-level simulations are carried
out to analyze the performance of WQAS and CQAS compared to the Round Robin (RR), best
Channel Quality Indicator (CQI), and QoS Aware Scheduler (QAS) algorithms, considering the
variation in the number of users as a way of stress testing the network. The results indicate that
WQAS and CQAS show similar results for RT applications, with WQAS standing out for
reliability. Furthermore, CQAS shows significant overall throughput gains except for HTTP
when compared with QAS and WQAS. Both WQAS and CQAS perform well in adapting to
the delay constraints related to the QoS requirements of each 5G RT application, in addition to
good reliability performance. Finally, CQAS achieved the results described above for RT
applications while generating the lowest impact on NRT applications, demonstrating the
importance of a Channel and QoS-aware algorithm.
Abstract
5G mobile communication systems present growing demands aimed at Quality of Service
(QoS) requirements combined with the high densification of users in a heterogeneous network
infrastructure (HetNet). Thus, 5G networks are expected to accommodate various applications
and services. Therefore, it is necessary to develop scheduling methods that can benefit both
real-time (RT) and non-real-time (NRT) services. In this sense, we propose two new scheduling
algorithms, the Weighted QoS Aware Scheduler (WQAS) and the Channel and QoS Aware
Scheduler (CQAS), in a HetNet scenario characterized by the diversity of traffic models: full
buffer (IoT), HTTP, vehicular, VoIP, gaming, and video. System-level simulations are carried
out to analyze the performance of WQAS and CQAS compared to the Round Robin (RR), best
Channel Quality Indicator (CQI), and QoS Aware Scheduler (QAS) algorithms, considering the
variation in the number of users as a way of stress testing the network. The results indicate that
WQAS and CQAS show similar results for RT applications, with WQAS standing out for
reliability. Furthermore, CQAS shows significant overall throughput gains except for HTTP
when compared with QAS and WQAS. Both WQAS and CQAS perform well in adapting to
the delay constraints related to the QoS requirements of each 5G RT application, in addition to
good reliability performance. Finally, CQAS achieved the results described above for RT
applications while generating the lowest impact on NRT applications, demonstrating the
importance of a Channel and QoS-aware algorithm.
Palavras-chave
Channel and QoS Aware Scheduler, Weighted QoS Aware Scheduler, Scheduling Algorithm, Real-Time Traffic, Non-Real-Time Traffic, 5G Heterogeneous Networks
Citação
QUEIROZ, Gabriel Andrade. A new channel and QoS-aware scheduling algorithm for real-time and non-real-time traffic in 5G heterogeneous networks. 2024. 100 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Federal de Uberlândia, Uberlândia, 2024. DOI http://doi.org/10.14393/ufu.di.2024.445.