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Analysis of QoS aware traffic template in n78 band using proportional fair scheduling in 5G NR

Author

Listed:
  • Rajesh Kumar

    (Manipal University Jaipur)

  • Deepak Sinwar

    (Manipal University Jaipur)

  • Vijander Singh

    (NTNU – Norwegian University of Science and Technology)

Abstract

Fifth generation new radio (5G NR) is bringing revolutions in almost every field such as healthcare, industrial automation, smart farming, and defense. These fields utilize three major use case scenarios of 5G NR viz. eMBB, URLLC, and mMTC. 5G NR deployment relies on two major frequency bands such as sub-6 GHz and high-frequency bands (millimeter waves). Among all sub-6 GHz bands, the n78 band (3300–3800 MHz) is gaining popularity due to its unique characteristics viz. higher capacity and coverage, wide bandwidth, and higher data rate. Despite these unique characteristics, in the 5G standalone architecture, users expect high-speed video/voice transmission without delay and good quality of services (QoS) requirements. QoS is one of the important paradigms that indicates the quality of services experienced by end users instead of services claimed by service providers. In this work, we have designed a QoS scenario that utilizes the n78 band with an “urban macro mixed office scenario with low loss” path loss model. As per types of services are concerned, the scenario utilizes six different traffic templates (i.e., FTP, Voice, Video, COAP, CBR, and Email). The path loss model operates on non-line-of-sight scenarios with Rayleigh fading and eigen beamforming using 64 $$\times $$ × 32 antenna elements. The performance of the proposed scenario is examined through different metrics i.e., throughput, packet drop ratio, and delay. Here, priorities to different traffic templates are assigned based on GBR and non-GBR resource types. In addition, the proportional fair scheduling algorithm is employed to schedule the resources. It was observed that video services achieved a higher throughput of 25.93 Mbps due to their prioritization in the QoS model. Conversely, FTP services experienced higher delay, measured at 64 ms, and a packet delivery ratio of 5.94%.

Suggested Citation

  • Rajesh Kumar & Deepak Sinwar & Vijander Singh, 2024. "Analysis of QoS aware traffic template in n78 band using proportional fair scheduling in 5G NR," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(1), pages 17-32, September.
    • Handle: RePEc:spr:telsys:v:87:y:2024:i:1:d:10.1007_s11235-024-01169-8
    DOI: 10.1007/s11235-024-01169-8
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    References listed on IDEAS

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    1. Asmae Mamane & M. Fattah & M. El Ghazi & M. El Bekkali, 2022. "5G enhanced mobile broadband multi-criteria scheduler for dense urban scenario," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(1), pages 33-43, May.
    2. Tariq Mumtaz & Shahabuddin Muhammad & Muhammad Imran Aslam & Irfan Ahmed, 2022. "Inter-slice resource management for 5G radio access network using markov decision process," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(4), pages 541-557, April.
    3. Chol Jong & Yong Chun Kim & Jun Ho So & Kum Chol Ri, 2023. "QoS and energy-efficiency aware scheduling and resource allocation scheme in LTE-A uplink systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 175-191, February.
    4. Usman Ali & Giuseppe Caso & Luca De Nardis & Konstantinos Kousias & Mohammad Rajiullah & Özgü Alay & Marco Neri & Anna Brunstrom & Maria-Gabriella Di Benedetto, 2022. "Data-Driven Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks," Future Internet, MDPI, vol. 14(8), pages 1-27, August.
    5. Fareha Nizam & Teong Chee Chuah & Ying Loong Lee, 2023. "Quality of service driven hierarchical resource allocation for network slicing-enabled hybrid wireless–wireline access networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 83(4), pages 339-355, August.
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