A transport layer approach for achieving aggregate bandwidths on multi-homed mobile hosts

Hsieh, Hung‐Yun; Sivakumar, R.

doi:10.1145/570654.570656

Cited by 42 publications

(37 citation statements)

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“…In contrast, to achieve best utilization of high bandwidth links, MPCubic [47] uses a cubic congestion control mechanism [48] and Le et al [49] use a binomial congestion control mechanism [50] for each of their sub-flows. Meanwhile, to efficiently operate on top of heterogeneous interfaces, pTCP [51] allows the use of a different TCP variant, e.g. [29,52,28], for each interface depending on its characteristics.…”

Section: Extending Widely Deployed Protocolsmentioning

confidence: 99%

“…-Implicit estimation: Other systems depend on their congestion control mechanisms to keep the transmission rate at each interface close to its available bandwidth [55,59,65,51,69,43,67,56,96,61,58,40,45,35,97,98,44,66,46,47,49,41,36,34,39,53,54]. Although they adopt different congestion control mechanisms (Section 2.2), they rely on the same concepts to avoid explicitly estimating the available bandwidth for each interface.…”

Section: Bandwidth Estimationmentioning

confidence: 99%

“…Different bandwidth aggregation solutions, however, estimate this delay in different forms based on their main purpose of estimating it. For instance, many solutions, specially transport layer protocols, estimate the round trip time (RTT) as the average time difference between sending a packet and receiving its acknowledgement and use it to calculate the retransmission timeout (RTO) [25,76,86,63,64,59,65,51,69,43,67,56,96,61,58,40,45,35,97,98,44,66,55,47,46,49,41,36,34,39,53,54]. On the other hand, to take the delay into account while distributing traffic across interfaces, Phatak et al argue that it is sufficient to calculate the differences in latency between the interfaces, not the actual latency of each interface [71].…”

Section: Delaymentioning

confidence: 99%

“…TCP) were already heavily adopted and deployed. Therefore, researchers started proposing modifications to TCP to utilize the available interfaces [51]. Because of the formidable deployment barrier these approaches faced, researchers had to find a work-around to overcome this problem through network or application layer approaches.…”

Section: Protocol Stack Layered Evolutionmentioning

confidence: 99%

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Bandwidth aggregation techniques in heterogeneous multi-homed devices: A survey

2015

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The widespread deployment of various networking technologies, coupled with the exponential increase in end-user data demand, have led to the proliferation of multi-homed, or multi-interface enabled, devices. These trends drove researchers to investigate a wide spectrum of solutions, at different layers of the protocol stack, that utilize available interfaces in such devices by aggregating their bandwidth. In this survey paper, we provide an overview and examine the evolution of bandwidth aggregation solutions over time. We begin by describing the bandwidth aggregation problem. We then investigate the common features of proposed bandwidth aggregation systems and break them down into two major categories: layer-dependent and layer-independent features. Afterwards, we discuss the evolution trends in the literature and discuss some open challenges requiring further research. We end the survey with a brief presentation of related work in tangential research areas.

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Section: Extending Widely Deployed Protocolsmentioning

confidence: 99%

Section: Bandwidth Estimationmentioning

confidence: 99%

Section: Delaymentioning

confidence: 99%

Section: Protocol Stack Layered Evolutionmentioning

confidence: 99%

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Bandwidth aggregation techniques in heterogeneous multi-homed devices: A survey

2015

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“…Besides the standardization activities in the 802.11 family, end-to-end approaches for seamless roaming and bandwidth aggregation are advocated in the literature, e.g. parallel TCP (pTCP) [59], stream control transmission protocol (SCTP) [60]. As the price of RF transceivers (radios) has fallen dramatically in recent years, the low cost allows multiple radios to be used in the same device.…”

Section: Horizontal and Vertical Handoffsmentioning

confidence: 99%

VoIP over WLAN: voice capacity, admission control, QoS, and MAC

Xiao¹,

Shen²,

Cai³

et al. 2006

Int J Communication

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SUMMARYVoice over Internet Protocol (VoIP) is one of the fastest growing Internet applications. It is a viable alternative to the traditional telephony systems due to its high resource utilization and cost efficiency. Meanwhile, Wireless Local Area Networks (WLANs) have become a ubiquitous networking technology that has been deployed around the world. Driven by these two popular technologies, Voice over WLAN (VoWLAN) has been emerging as an infrastructure to provide low-cost wireless voice services. However, VoWLAN poses significant challenges since the performance characteristics of wireless networks are much worse than that of their wireline counterparts, and the IEEE 802.11-based WLAN was not originally designed to support delay-sensitive voice traffic. In this paper, we provide a survey of recent advances in VoWLAN voice capacity analysis, call admission schemes, and medium access control (MAC) layer quality of service (QoS) enhancement mechanisms. Some open research issues are presented for further investigation.

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Device‐centric data reordering and buffer management for mobile Internet using Multipath Transmission Control Protocol

Kumar

Tyagi

2021

Int J Communication

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Summary Today's smart mobile devices (SMDs) are equipped with multiple interfaces, powerful processors, and workable battery power. Such SMDs are making future networks truly heterogeneous. In such future mobile networks, there is an opportunity to utilize the SMD's interfaces concurrently. There are challenges in the implementation of this idea, because regular TCP does not support path aggregation, multihoming, and full‐mesh networking. The multipath TCP (MPTCP) is a power set of TCP extensions that provide the subflows on each SMD's interface. The MPTCP runs over the existing infrastructure of the TCP by using TCP options field, without compromising the normal TCP functions. An end‐to‐end data scheduling and data reordering are important issues in such mobile Internet across multiple subflows of MPTCP. In this paper, we proposed the mechanisms for multipath scheduling, device‐centric data reordering, and buffer management to achieve concurrent utilization of SMD's LTE and Wi‐Fi interfaces for video stream applications on mobile Internet. We modeled the approaches for multipath scheduling and reordering to ensure the improved utilization of SMD's interfaces and decrease the buffer usage. The proposed approaches consider the outstanding data bytes and latency of each MPTCP subflow. The proposed approaches are tested on a MPTCP‐supported testbed, and captured data are analyzed in terms of gross throughput, buffer usage, end‐to‐end performance, and path utilization of subflows on SMD's LTE and Wi‐Fi interfaces. The performance is evaluated and compared with related state‐of‐the‐art approaches, and significant improvement is observed.

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A transport layer approach for achieving aggregate bandwidths on multi-homed mobile hosts

Cited by 42 publications

References 0 publications

Bandwidth aggregation techniques in heterogeneous multi-homed devices: A survey

Bandwidth aggregation techniques in heterogeneous multi-homed devices: A survey

VoIP over WLAN: voice capacity, admission control, QoS, and MAC

Device‐centric data reordering and buffer management for mobile Internet using Multipath Transmission Control Protocol

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