L25GC: a low latency 5G core network based on high-performance NFV platforms
Vivek A. Jain, Hao-Tse Chu, Shixiong Qi, Chia-An Lee, Hung-Cheng Chang, Cheng-Ying Hsieh, K. K. Ramakrishnan, Jyh-Cheng Chen
Abstract
Cellular network control procedures (e.g., mobility, idle-active transition to conserve energy) directly influence data plane behavior, impacting user-experienced delay. Recognizing this control-data plane interdependence, L25GC re-architects the 5G Core (5GC) network, and its processing, to reduce latency of control plane operations and their impact on the data plane. Exploiting shared memory, L25GC eliminates message serialization and HTTP processing overheads, while being 3GPP-standards compliant. We improve data plane processing by factoring the functions to avoid control-data plane interference, and using scalable, flow-level packet classifiers for forwarding-rule lookups. Utilizing buffers at the 5GC, L25GC implements paging, and an intelligent handover scheme avoiding 3GPP's hairpin routing, and data loss caused by limited buffering at 5G base stations, reduces delay and unnecessary message processing. L25GC's integrated failure resiliency transparently recovers from failures of 5GC software network functions and hardware much faster than 3GPP's reattach recovery procedure. L25GC is built based on free5GC, an open-source kernel-based 5GC implementation. L25GC reduces event completion time by 50% for several control plane events and improves data packet latency (due to improved control plane communication) by 2×, during paging and handover events, compared to free5GC. L25GC's design is general, although current implementation supports a limited number of user sessions.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 2b2bb3ad-da58-4d47-9201-ad11d62feec6Cited by top-tier papers3
- CoreKube: An Efficient, Autoscaling and Resilient Mobile Core SystemJon Larrea, Andrew E. Ferguson, Mahesh K. MarinaMobiCom 2023 · 21 citations
- X-Plane: A High-Throughput Large-Capacity 5G UPFYunzhuo Liu, Hao Nie, Hui Cai, Bo Jiang et al.MobiCom 2023 · 7 citations
- 5G-MAP: Demystifying the Performance Implications of Cloud-Based 5G Core DeploymentsTolga O. Atalay, Dragoslav Stojadinovic, Alireza Famili, Angelos Stavrou et al.MobiCom 2025 · 3 citations
Related papers
- A Low Latency and Consistent Cellular Control PlaneMukhtiar Ahmad, Syed Usman Jafri, Muhammed Azam Ikram, Wasiq Noor Ahmad Qasmi et al.SIGCOMM 2020 · 43 citations
- How to Hardware Accelerate Your 5G CUXin Zhe Khooi, Satis Kumar Permal, Cha Hwan Song, Nishant Budhdev et al.INFOCOM 2026
- PAVE: Mitigating Non-Congestive Delay for Seamless Video Calls over NextG Mobile NetworksGoodsol Lee, Seyeon Kim, Juheon Yi, Junhong Min et al.INFOCOM 2026 · 1 citation
- CellDAM: User-Space, Rootless Detection and Mitigation for 5G Data PlaneZhaowei Tan, Jinghao Zhao, Boyan Ding, Songwu LuNSDI 2023 · 13 citations
- Batchy: Batch-scheduling Data Flow Graphs with Service-level ObjectivesTamás Lévai, Felicián Németh, Barath Raghavan, Gábor RétváriNSDI 2020 · 30 citations
