More is Better? Measurement of MPTCP Based Cellular Bandwidth Aggregation in the Wild

2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)(2016)

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摘要
4G/3G Networks have been widely deployed around the world to provide high wireless bandwidth for mobile users. However, the achievable 3G/4G bandwidth is still much lower than their theoretic maximum. Signal strengths and available backhaul capacities may vary significantly at different locations and times, often leading to unsatisfactory performance. Band-width aggregation, which uses multiple interfaces concurrently for data transfer, is a readily deployable solution. Specifically, Multi-Path TCP (MPTCP) has been advocated as a promising approach for leveraging multiple source-destination paths simultaneously in the transport layer. In this paper, we investigate the efficiency of an MPTCP-based bandwidth aggregation frame-work based on extensive measurements. In particular, we evaluate the gain for bandwidth aggregation across up to 4 cellular operators' networks, with respect to factors such as time, user location, data size, aggregation proxy location and congestion control algorithm. Our measurement studies reveal that (1) bandwidth aggregation in general improves the cellular network bandwidth experienced by mobile users, but the performance gain is significant only for bandwidth-intensive delay-tolerant flows, (2) the effectiveness of aggregation depends on many network factors, including QoS of individual cellular interfaces and the location of aggregation proxy, (3) contextual factors, including the time of day and the mobility of a user, also affect the aggregation performance.
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关键词
multipath TCP measurement,MPTCP measurement,cellular bandwidth aggregation,4G-3G networks,wireless bandwidth,mobile users,3G-4G bandwidth,signal strengths,backhaul capacity,multiple interfaces,data transfer,multiple source-destination paths,transport layer,cellular operators networks,aggregation proxy location,congestion control algorithm,bandwidth-intensive delay-tolerant flows,quality of service,QoS,cellular interfaces,contextual factors,user mobility
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