Implementation of mmWave-energy Module and Power Saving Schemes in ns-3
Pages 89 - 96
Abstract
Next-generation 5G New Radio (NR) cellular networks operating at mmWave frequencies are targeted to support diverse use cases, such as enhanced Mobile Broadband (eMBB), massive machine-type communications (mMTC), ultra-reliable and low latency communications (URLLC), etc. Energy-Efficiency is one of the key performance indicators for NR technology. User Equipment (UE) battery life significantly impacts the Quality of Experience (QoE) of the UE. Thus 5G NR standard is designed to have great flexibility on network operation modes to adapt to different requirements and trade-offs. 3GPP, in its 5G technical specification release, has proposed various power-saving schemes such as connected mode Discontinuous Reception (cDRX), RRC INACTIVE state, etc. In this work, we discuss the implementation and analysis of UE RRC state-based energy consumption module, including different power saving schemes in ns-3. We have thoroughly evaluated the module with the simulation study and validated the implementation with the 3GPP standards. The implementation source code is publicly available as open-source.
References
[1]
2017. Quantitative Analysis on UL Data Transmission in Inactive State. https://www.3gpp.org/DynaReport/TDocExMtg--R2-97--17054.htm.
[2]
2018. Consideration on UE Power Consumption Model and Preliminary Evaluation Results. https://www.3gpp.org/DynaReport/TDocExMtg--R1-95--18807.htm.
[3]
2018. NR; Medium Access Control (MAC) Protocol Specification. https://portal.3gpp.org/.
[4]
2019. 3GPP TR 38.840 – Study on User Equipment (UE) Power Saving in NR. https://itectec.com/archive/3gpp-specification-tr-38-840/.
[5]
Icaro Leonardo Da Silva, Gunnar Mildh, Mikko Säily, and Sofonias Hailu. 2016. A Novel State Model for 5G Radio Access Networks. In 2016 IEEE International Conference on Communications Workshops (ICC). IEEE, 632–637.
[6]
Sofonias Hailu, Mikko Saily, and Olav Tirkkonen. 2018. RRC State Handling for 5G. IEEE Communications Magazine 57, 1 (2018), 106–113.
[7]
Mads Lauridsen, Daniela Laselva, Frank Frederiksen, and Jorma Kaikkonen. 2019. 5G New Radio User Equipment Power Modeling and Potential Energy Savings. In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 1–6.
[8]
Yu-Ngok Ruyue Li, Mengzhu Chen, Jun Xu, Li Tian, and Kaibin Huang. 2020. Power Saving Techniques for 5G and Beyond. IEEE Access 8(2020), 108675–108690.
[9]
Mukesh Kumar Maheshwari, Mamta Agiwal, Navrati Saxena, and Abhishek Roy. 2018. Directional Discontinuous Reception (DDRX) for mmWave enabled 5G Communications. IEEE Transactions on Mobile Computing 18, 10 (2018), 2330–2343.
[10]
Mudasar Latif Memon, Mukesh Kumar Maheshwari, Dong Ryeol Shin, Abhishek Roy, and Navrati Saxena. 2019. Deep-DRX: a Framework for Deep Learning–based Discontinuous Reception in 5G Wireless Networks. Transactions on Emerging Telecommunications Technologies 30, 3(2019), e3579.
[11]
Marco Mezzavilla, Menglei Zhang, Michele Polese, Russell Ford, Sourjya Dutta, Sundeep Rangan, and Michele Zorzi. 2018. End-to-end Simulation of 5G mmWave Networks. IEEE Communications Surveys & Tutorials 20, 3 (2018), 2237–2263.
[12]
Harald Ott, Konstantin Miller, and Adam Wolisz. 2017. Simulation Framework for HTTP-based Adaptive Streaming Applications. In Proceedings of the 2017 Workshop on ns-3. 95–102.
[13]
S Thomas Valerrian Pasca, B Akilesh, Arjun V Anand, and Bheemarjuna Reddy Tamma. 2016. A ns-3 Module for LTE UE Energy Consumption. In 2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, 1–6.
[14]
Argha Sen, Abhijit Mondal, Basabdatta Palit, Jay Jayatheerthan, Krishna Paul, and Sandip Chakraborty. 2021. An ns3-based Energy Module of 5G NR User Equipments for Millimeter Wave Networks. In IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 1–2.
[15]
Syed Hashim Ali Shah, Sundar Aditya, Sourjya Dutta, Christopher Slezak, and Sundeep Rangan. 2019. Power Efficient Discontinuous Reception in THz and mmWave Wireless Systems. In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 1–5.
[16]
Panagiotis Skrimponis, Sourjya Dutta, Marco Mezzavilla, Sundeep Rangan, Seyed Hadi Mirfarshbafan, Christoph Studer, James Buckwalter, and Mark Rodwell. 2020. Power Consumption Analysis for Mobile mmWave and sub-THz Receivers. In 2020 2nd 6G Wireless Summit (6G SUMMIT). IEEE, 1–5.
[17]
Ashish Kumar Sultania, Carmen Delgado, and Jeroen Famaey. 2019. Implementation of NB-IoT Power Saving Schemes in ns-3. In Proceedings of the 2019 Workshop on Next-Generation Wireless with ns-3. 5–8.
[18]
He Wu, Sidharth Nabar, and Radha Poovendran. 2011. An Energy Framework for the Network Simulator 3 (ns-3). In Proceedings of the 4th international ICST conference on simulation tools and techniques. 222–230.
[19]
Menglei Zhang, Michele Polese, Marco Mezzavilla, Sundeep Rangan, and Michele Zorzi. 2017. ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum Above 6 GHz. In Proceedings of the 2017 Workshop on ns-3. 71–78.
[20]
Tommaso Zugno, Matteo Drago, Sandra Lagén, Zoraze Ali, and Michele Zorzi. 2021. Extending the ns-3 Spatial Channel Model for Vehicular Scenarios. In Proceedings of the 2021 Workshop on ns-3. 25–32.
[21]
Tommaso Zugno, Michele Polese, Mattia Lecci, and Michele Zorzi. 2019. Simulation of Next Generation Cellular Networks with ns-3: Open Challenges and New Directions. In Proceedings of the 2019 Workshop on Next-Generation Wireless with ns-3. 38–41.
[22]
Tommaso Zugno, Michele Polese, and Michele Zorzi. 2018. Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module. In Proceedings of the 2018 Workshop on ns-3. 45–52.
Recommendations
Mobility management across hybrid wireless networks: Trends and challenges
Future generation wireless networks are envisioned to be a combination of diverse but complementary access technologies. Internetworking these types of networks will provide mobile users with ubiquitous connectivity across a wide range of networking ...
Extensions to LTE mobility functions for ns-3
WNS3 '14: Proceedings of the 2014 Workshop on ns-3ns-3 is an open-source network simulator with support for simulating 3GPP LTE cellular network. This paper presents three extensions to the LTE module of ns-3, enhancing its capability of simulating scenarios with more sophisticated user mobility ...
A NS-3 module for LTE UE energy consumption
2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)NS-3 has evolved into a very popular simulator platform for networking research studies. As energy consumed by LTE user equipment (UE) is of keen interest to researchers working in wireless networks, they often analyze the energy consumed by a UE when ...
Comments
Information & Contributors
Information
Published In
June 2022
134 pages
ISBN:9781450396516
DOI:10.1145/3532577
Copyright © 2022 ACM.
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]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 June 2022
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
WNS3 2022
Acceptance Rates
Overall Acceptance Rate 54 of 82 submissions, 66%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 114Total Downloads
- Downloads (Last 12 months)32
- Downloads (Last 6 weeks)1
Reflects downloads up to 15 Sep 2024
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in