Name
Abstract | ||
|---|---|---|
Mobility management is a prominent feature in cellular networks. In this paper, we examine the (in)stability of mobility management. We disclose that handoff may never converge in some real-world cases. We focus on persistent handoff oscillations, rather than those transient ones caused by dynamic networking environment and user mobility (e.g., moving back and force between two base stations). Our study reveals that persistent handoff loops indeed exist in operational cellular networks. They not only violate their design goals, but also incur excessive signaling overhead and data performance degradation. To detect and validate instability in mobility management, we devise MMDIAG, an in-device diagnosis tool for cellular network operations. The core of MMDIAG is to build a handoff decision automata based on 3GPP standards, and detect possible loops by checking the structural property of stability. We first leverage device-network signaling exchanges to retrieve mobility management policies and configurations, and then feed them into MMDIAG, along with runtime measurements. MMDIAG further emulates various handoff scenarios and identifies possible violations (i.e., loops) caused by the used policies and configurations. Finally, we validate the identified problems through real measurements over operational networks. Our preliminary results with a top-tier US carrier demonstrate that, unstable mobility management indeed occurs in reality and hurts both carriers and users. The proposed methodology is effective to identify persistent instabilities and pinpoint their root causes in problematic configurations and policy conflicts. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2873587.2873599 | HotMobile |
Field | DocType | Citations |
Base station,Mobility management,Computer science,Automaton,Mobility model,Computer network,Structural property,Cellular network,Handover | Conference | 6 |
PageRank | References | Authors |
0.57 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanjie Li | 1 | 243 | 38.95 |
| Jiaqi Xu | 2 | 106 | 9.50 |
| Chunyi Peng | 3 | 1503 | 156.84 |
| Songwu Lu | 4 | 6137 | 504.90 |