LWIP and Wi-Fi Boost Flow Control

Liu, David; Ling, Jonathan; Kim, Bong Ho; Vasudevan, Subramanyan; Kanugovi, Satish; Ding, Ming

doi:10.1109/wcnc.2017.7925595

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…3GPP systems adopt multihoming to aggregate 4G spectrum with WiFi spectrum, in the so-called dual connectivity mode [27], exploiting the presence of both WiFi and 4G radio frequency modules in almost all user devices. The 3GPP LWIP Release 13 standard includes aggregation of WiFi and LTE (called "Wifi Boost") at the IP layer, and [28,29] show that large performance gains result from this aggregation.…”

Section: Spectrum Aggregationmentioning

confidence: 99%

Multipath Streaming: Fundamental Limits And Efficient Algorithms

Combes

Sidi

Elayoubi

2016

IEEE J. Select. Areas Commun.

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We investigate streaming over multiple links. A file is split into small units called chunks that may be requested on the various links according to some policy, and received after some random delay. After a start-up time called pre-buffering time, received chunks are played at a fixed speed. There is starvation if the chunk to be played has not yet arrived. We provide lower bounds (fundamental limits) on the starvation probability of any policy. We further propose simple, order-optimal policies that require no feedback. For general delay distributions, we provide tractable upper bounds for the starvation probability of the proposed policies, allowing to select the pre-buffering time appropriately. We specialize our results to: (i) links that employ CSMA or opportunistic scheduling at the packet level, (ii) links shared with a primary user (iii) links that use fair rate sharing at the flow level. We consider a generic model so that our results give insight into the design and performance of media streaming over (a) wired networks with several paths between the source and destination, (b) wireless networks featuring spectrum aggregation and (c) multi-homed wireless networks.

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Section: Spectrum Aggregationmentioning

confidence: 99%

Multipath Streaming: Fundamental Limits And Efficient Algorithms

Combes

Sidi

Elayoubi

2016

IEEE J. Select. Areas Commun.

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“…In this paper, we focus on LWA and its aggregation capabilities. Please refer to [9] for further details on LWIP and its current switching capabilities.…”

Section: Introductionmentioning

confidence: 99%

Long Term Evolution-Wireless Local Area Network Aggregation Flow Control

et al. 2016

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Long term evolution-wireless local area network (LTE-WLAN) aggregation (LWA) has recently emerged as a promising third generation partnership project (3GPP) Release 13 technology to efficiently aggregate LTE and WLAN at the packet data convergence protocol layer, allowing uplink traffic to be carried on LTE and downlink on both LTE and WLAN. This removes all the contention asymmetry problems of WLAN and allows an optimum usage of both licensed and unlicensed band for downlink. In this paper, we present a new feature of LWA, its flow control scheme, which controls how to aggregate downlink traffic in licensed and unlicensed bands. This aggregation technique exploits user equipment-based flow control feedback in the form of LWA status reports, and can be expanded to work with any number of frequency bands and radio technologies. The same concepts apply to 5G networks, although the performance evaluation provided here is in the context of LTE-Advanced Pro. Simulation results in a typical enterprise scenario show that LWA can enhance user performance up to 8 times over LTE-only, and 3.7 times over WLAN only networks, respectively. The impact of the file size and LWA status report frequency on network performance is also investigated. INDEX TERMSCellular networks, long term evolution (LTE), wireless local area network (WLAN), LTE WLAN aggregation (LWA), flow control, aggregation.

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