An optimal deployable bandwidth aggregation system

Habak, Karim; Youssef, Moustafa; Harras, Khaled A.

doi:10.1016/j.comnet.2013.07.012

Cited by 15 publications

(21 citation statements)

References 33 publications

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“…A scheme proposed in [92] named MC-MLAS can reduce this latency and decision making can be performed in real time. An optimal channel aggregation system has been given in [91] and it does not require any intermediate hardware or modifications in operating systems. Also in channel aggregation, control messages exchange overhead increases with the increase in number of channels.…”

Section: ) Channel Aggregationmentioning

confidence: 99%

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Bukhari

Rehmani

Siraj

2016

IEEE Commun. Surv. Tutorials

131

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Abstract-Channel bonding (CB) is a proven technique to increase bandwidth and reduce delays in wireless networks. It has been applied in traditional wireless networks such as cellular networks and wireless local area networks along with the emerging cognitive radio networks. This paper first focuses on providing a survey of CB schemes for traditional wireless networks such as cellular networks, wireless local area networks and wireless sensor networks, and then provides a detailed discussion on the CB schemes proposed for cognitive radio networks. Finally, we highlight a number of issues and challenges regarding CB in cognitive radio sensor networks and also provide some guidelines on using CB schemes in these futuristic networks.

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Section: ) Channel Aggregationmentioning

confidence: 99%

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

Bukhari

Rehmani

Siraj

2016

IEEE Commun. Surv. Tutorials

131

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“…To minimize the widespread deployment cost of the transparent middlewares, researchers avoid relying on upgrading the servers to enable bandwidth aggregation. Habak et al use connection-level granularity scheduling as the default mode of operation while leveraging optional server modifications to further enhance performance [16,17,18]. Moreover, Sharma et al rely on a proxy server to hide the effects of using multiple interfaces at the client side form legacy servers [19].…”

Section: Application Layer Solutionsmentioning

confidence: 99%

“…-Probing Reference Servers: Assuming that the bottleneck is local, Habak et al use geographically dispersed reference servers to estimate the available bandwidth at each interface [16,17,13,18]. They periodically connect to these servers to estimate the uplink and the downlink available bandwidth.…”

Section: Bandwidth Estimationmentioning

confidence: 99%

“…This approach has the advantage of being backwards compatible and transparent to the applications. For example, Saeed et al [12] and Habak et al [16,17,18] estimate the connection's sent and received bytes based on each application connections' history. As a result, the estimated connection length equals the average connection length calculated from the history.…”

Section: Estimationmentioning

confidence: 99%

“…However, packets belonging to the same connection must be assigned to the same network interface. These solutions either utilize connectionlevel scheduling as their main operational mode [12,13] or as an optional mode triggered by the lack of network support [77,16,17,18]. MOTA is considered a special case of connection-oriented scheduling in which connections belonging to the same application are assigned to the same network interface [78].…”

Section: Scheduling Granularitymentioning

confidence: 99%

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

2015

Self Cite

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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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A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Kandar

Chyne

Sur

et al. 2023

Int J Communication

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The most well-known sort of remote Internet connection is wireless local area networks (WLANs) due to its unsophisticated operation and deployment. Subsequently, the quantity of gadgets getting to the Internet through WLANs, for example, PCs, cell phones, or wearables, is expanding radically at the equivalent time that applications' throughput necessities do. To provide wireless networks with supplementary spectral resources, the researchers are considering the aggregation of frequency spectrums in licensed, unlicensed, and shared access (SA) bands. Channel aggregation/channel bonding (CA/CB) techniques accumulate quite a few channels together as one channel for the purpose of achieving better bandwidth utilization. In this study, we focus on reliable CA/CB techniques in different wireless networks. CA/CB procedures are utilized for empowering higher information rates by transmitting in more extensive channels, accordingly expanding range proficiency with the assured secure channel for communication. We also discuss the spectral scarcity issues in today's wireless IoT network. This paper presents an extensive survey on CA/CB procedures and methods, issues and challenges, and open research areas related to IoT devices. We analyze the performance of channel CA/CB strategies in the different wireless networks too.

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An optimal deployable bandwidth aggregation system

Cited by 15 publications

References 33 publications

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

A Survey of Channel Bonding for Wireless Networks and Guidelines of Channel Bonding for Futuristic Cognitive Radio Sensor Networks

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

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

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