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A 3GPP NR Compliant Beam Management Framework to Simulate End-to-End mmWave Networks

Published: 25 October 2018 Publication History

Abstract

The advent of the next iteration of mobile and wireless communication standards, the so called 5G, is already a reality. 3GPP released in December 2017 the first set of specifications of the 5G New Radio (NR), which introduced important innovations with respect to legacy networks. One of the main novelties is the use of very-high frequencies in the radio access, which requires highly-directional transmissions or beams to overcome the severe propagation losses. Therefore, it is paramount to manage these beams in an efficient manner in order to always choose the optimum set of beams. In this work, we describe the first NR-compliant beam management framework for the ns-3 network simulator. We aim at providing an open-source and fully-customizable solution to let the scientific community implement their solutions and assess their impact on the end-to-end network performance. Additionally, we describe the necessary modifications in ns-3 to align the radio frame structure to what the 3GPP standards mandate. Finally, we validate our results by running a simple mobility scenario.

References

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3GPP. 2017b. NR; Physical layer measurements. TS 38.215. 3rd Generation Partnership Project (3GPP) . Version 15.0.0.
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3GPP. 2017c. Study on channel model for frequency spectrum above 6 GHz. Technical Report (TR) 38.900. 3rd Generation Partnership Project (3GPP) . http://www.3gpp.org/DynaReport/38900.htm Version 14.3.1.
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3GPP. 2017 d. Study on new radio access technology Physical layer aspects . Technical Reference (TR) 38.802. 3rd Generation Partnership Project (3GPP) . Version 15.0.0.
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Carlos Herranz and Menglei Zhang. 2018. Extension of the ns-3 mmWave module implementing the beam management framework. https://github.com/MengleiZhang/ns3-mmwave-ssblock Retrieved 2018-05--19 from
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Marco Mezzavilla, Sourjya Dutta, Menglei Zhang, Mustafa Riza Akdeniz, and Sundeep Rangan. 2015. 5G MmWave Module for the Ns-3 Network Simulator. In Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM '15). ACM, New York, NY, USA, 283--290.
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M. Mezzavilla, M. Zhang, M. Polese, R. Ford, S. Dutta, S. Rangan, and M. Zorzi. 2018. End-to-End Simulation of 5G mmWave Networks. IEEE Communications Surveys Tutorials (2018), 1--1.
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  • (2023)Nodal Transmission in 5G Wireless Networking2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)10.1109/PEEIC59336.2023.10451270(898-902)Online publication date: 19-Dec-2023
  • (2023)flexRLM: Flexible Radio Link Monitoring for Multi-User Downlink Millimeter-Wave NetworksIEEE INFOCOM 2023 - IEEE Conference on Computer Communications10.1109/INFOCOM53939.2023.10229071(1-10)Online publication date: 17-May-2023
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cover image ACM Conferences
MSWIM '18: Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
October 2018
372 pages
ISBN:9781450359603
DOI:10.1145/3242102
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 October 2018

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Author Tags

  1. 5g
  2. beam management
  3. mmwave
  4. nr
  5. ns-3
  6. phy

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Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Cited By

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  • (2024)A Detailed Review on Challenges in the Computational Frameworks in Building 6G for Healthcare System2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10617123(286-291)Online publication date: 14-May-2024
  • (2023)Nodal Transmission in 5G Wireless Networking2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)10.1109/PEEIC59336.2023.10451270(898-902)Online publication date: 19-Dec-2023
  • (2023)flexRLM: Flexible Radio Link Monitoring for Multi-User Downlink Millimeter-Wave NetworksIEEE INFOCOM 2023 - IEEE Conference on Computer Communications10.1109/INFOCOM53939.2023.10229071(1-10)Online publication date: 17-May-2023
  • (2022)Full-Stack ns-3 Framework for the Evaluation of 5G-NR Beam Management in Non-Standalone Downlink Millimeter-Wave Networks2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)10.1109/WoWMoM54355.2022.00020(40-49)Online publication date: Jun-2022
  • (2022)6G Driven Fast Computational Networking Framework for Healthcare ApplicationsIEEE Access10.1109/ACCESS.2022.320306110(94235-94248)Online publication date: 2022
  • (2021)Towards Energy Efficient Mobile Wireless Receivers Above 100 GHzIEEE Access10.1109/ACCESS.2020.30448499(20704-20716)Online publication date: 2021
  • (2020)The shift to 6G communications: vision and requirementsHuman-centric Computing and Information Sciences10.1186/s13673-020-00258-210:1Online publication date: 21-Dec-2020
  • (2020)Power Efficient Multi-Carrier Baseband Processing for 5G and 6G Wireless2020 54th Asilomar Conference on Signals, Systems, and Computers10.1109/IEEECONF51394.2020.9443544(324-330)Online publication date: 1-Nov-2020
  • (2020)One-Bit Feedback Exponential Learning for Beam Alignment in Mobile mmWaveIEEE Access10.1109/ACCESS.2020.30334198(194575-194589)Online publication date: 2020
  • (2020)Power Consumption Analysis for Mobile MmWave and Sub-THz Receivers2020 2nd 6G Wireless Summit (6G SUMMIT)10.1109/6GSUMMIT49458.2020.9083793(1-5)Online publication date: Mar-2020

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