Abstract
With 5G's support for diverse radio bands and different deployment modes, e.g., standalone (SA) vs. non-standalone (NSA), mobility management-especially the handover process-becomes far more complex. Measurement studies have shown that frequent handovers cause wild fluctuations in 5G throughput, and worst, service outages. Through a cross-country (6,200 km+) driving trip, we conduct in-depth measurements to study the current 5G mobility management practices adopted by three major U.S. carriers. Using this rich dataset, we carry out a systematic analysis to uncover the handover mechanisms employed by 5G carriers, and compare them along several dimensions such as (4G vs. 5G) radio technologies, radio (low-, mid-high-)bands, and deployment (SA vs. NSA) modes. We further quantify the impact of mobility on application performance, power consumption, and signaling overheads. We identify key challenges facing today's NSA 5G deployments which result in unnecessary handovers and reduced coverage. Finally, we design a holistic handover prediction system Prognos and demonstrate its ability to improve QoE for two 5G applications 16K panoramic VoD and realtime volumetric video streaming. We have released the artifacts of our study at https://github.com/SIGCOMM22-5GMobility/artifact.
Original language | English (US) |
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Title of host publication | SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference |
Publisher | Association for Computing Machinery, Inc |
Pages | 86-100 |
Number of pages | 15 |
ISBN (Electronic) | 9781450394208 |
DOIs | |
State | Published - Aug 22 2022 |
Event | 2022 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2022 - Amsterdam, Netherlands Duration: Aug 22 2022 → Aug 26 2022 |
Publication series
Name | SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference |
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Conference
Conference | 2022 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2022 |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 8/22/22 → 8/26/22 |
Bibliographical note
Funding Information:We thank our shepherd Kyle Jamieson and the anonymous reviewers for their suggestions and feedback. This research was in part supported by NSF under Grants CNS-1836772, CNS-1901103, CNS-1915122, CMMI-2038559, CNS-2106771, CNS-2128489, CNS-2112562, CMMI-2038215, CNS-1930041, an MnRI (Minnesota Robotics Institute) Seed Grant, and a Cisco University Research Grant.
Publisher Copyright:
© 2022 ACM.
Keywords
- 5G
- application performance
- coverage
- dataset
- energy
- handover
- handover prediction
- mobility
- mobility management
- network measurement