M2HO: Mitigating the Adverse Effects of 5G Handovers on TCP

The advent of 5G promises high bandwidth with the introduction of mmWave technology recently, paving the way for throughput-sensitive applications. However, our measurements in commercial 5G networks show that frequent handovers in 5G, due to physical limitations of mmWave cells, introduce significant under-utilization of the available bandwidth. By analyzing 5G link-layer and TCP traces, we uncover that improper interactions between these two layers causes multiple inefficiencies during handovers. To mitigate these, we propose M2HO, a novel device-centric solution that can predict and recognize different stages of a handover and perform state-dependent mitigation to markedly improve throughput. M2HO is transparent to the firmware, base stations, servers, and applications. We implement M2HO and our extensive evaluations validate that it yields significant improvements in TCP throughput with frequent handovers.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3690680
Primary Topic
Network Traffic and Congestion Control
Type
article
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article

M2HO: Mitigating the Adverse Effects of 5G Handovers on TCP

Zhaowei Tan, Zhiyun Qian, Z. Liu, Srikanth V. Krishnamurthy et al.
Network Traffic and Congestion Control
article

M2HO: Mitigating the Adverse Effects of 5G Handovers on TCP

Zhaowei Tan, Zhiyun Qian, Z. Liu, Srikanth V. Krishnamurthy, Xinyu Zhang, Ananthram Swami, Qing Deng
article en

Abstract

The advent of 5G promises high bandwidth with the introduction of mmWave technology recently, paving the way for throughput-sensitive applications. However, our measurements in commercial 5G networks show that frequent handovers in 5G, due to physical limitations of mmWave cells, introduce significant under-utilization of the available bandwidth. By analyzing 5G link-layer and TCP traces, we uncover that improper interactions between these two layers causes multiple inefficiencies during handovers. To mitigate these, we propose M2HO, a novel device-centric solution that can predict and recognize different stages of a handover and perform state-dependent mitigation to markedly improve throughput. M2HO is transparent to the firmware, base stations, servers, and applications. We implement M2HO and our extensive evaluations validate that it yields significant improvements in TCP throughput with frequent handovers.

University of California, Riverside (US), DEVCOM Army Research Laboratory (US), University of California San Diego (US)
Openalex Percentile: Top 75%
Network Traffic and Congestion Control
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