Traffic Aware Optimal Bandwidth Segmentation for Low Latency Communication in 5G

Pawar, Ujjwal and Chilukuri, Aditya and Franklin, Antony (2021) Traffic Aware Optimal Bandwidth Segmentation for Low Latency Communication in 5G. In: 15th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2021, 13 -16 December 2021, Hyderabad.

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The fifth-generation (5G) mobile technology comes with numerous enhancements to support new use cases and services. Two of these enhancements are Numerology and Bandwidth Part (BWP) in the 5G NR (New Radio) standard. While Numerology gives the flexibility for selecting Transmission Time Interval (TTI) for different types of service classes, the BWP allows a gNB (5G NR Base Station) carrier to be divided into multiple parts. Different BWPs can run different Numerologies simultaneously by selecting higher Numerology for low latency use cases. In this paper, we identified the drawbacks of higher Numerology under high traffic scenario and proposed an optimal bandwidth (BW) segmentation algorithm. The proposed solution reduces the downlink latency by selecting Numerologies and BWP based on the traffic conditions of various services. The simulation results show that the proposed algorithm can effectively adapt to the traffic load and reduce the delay and packet loss rate by up to 36% and 18.5%, respectively compared to static Numerology-based scheduling. © 2021 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Franklin, Antony
Item Type: Conference or Workshop Item (Paper)
Additional Information: ACKNOWLEDGMENT This work has been partly supported by the Department of Telecommunications, Ministry of Communications, India as part of the “Indigenous 5G Test Bed” project and “CCRAN: Energy Efficiency in Converged Cloud Radio Next Generation Access Network” funded by Intel India.
Uncontrolled Keywords: Bandwidth Parts (BWP); Low latency communication; Numerology
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Ms Palak Jain
Date Deposited: 22 May 2023 09:36
Last Modified: 22 May 2023 09:36
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