Bandwidth aggregation in heterogeneous wireless networks: A survey of current approaches and issues

Ramaboli, Allen Lehopotseng; Falowo, Olabisi E.; Chan, Anthony

doi:10.1016/j.jnca.2012.05.015

Cited by 107 publications

(48 citation statements)

References 60 publications

(63 reference statements)

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“…To address the so-called 1000X capacity challenge, wireless providers across the globe are aggressively seeking extending their cellular operation to license-exempt and OSA bands using innovative deployment of small cells with channel aggregation/bonding capabilities [4], [11], [12]. In [13], [14], the authors considered adaptive OSA techniques under the collision-protocol model, where users have no CB capabilities.…”

Section: Related Literaturementioning

confidence: 99%

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

Khan

Lehtomäki

Scott

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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Channel bonding (CB) is a technique that enables a wireless link to combine channels and achieve higher data rates. In this paper, competition for efficient spectrum access among autonomous users with heterogeneous CB capabilities is considered. Specifically, we propose distributed and coordinated channel/bonding selection methods under signal-to-interference-plus-noise ratio (SINR) and collisionprotocol models. In our methods, users utilize only limited feedback to distributively arrive at CB selections that minimize their probability of conflict. The proposed method utilizes a novel channel quality metric, which is based on the ratio of noise power to the sum of interference and noise power. It is shown that CB can lead to higher data rates, and it is most beneficial when users have a high SINR. However, it is also shown that as the ratio of users to available channels increases, CB performance degrades. Our results show that under certain scenarios, the proposed coordinated and distributed channel/bonding selection schemes help users converge fast to conflict-free channel selections as compared to the other channel/bonding selection schemes. Moreover, the proposed schemes result in considerably superior performance to existing CB schemes in terms of network data rate.

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Section: Related Literaturementioning

confidence: 99%

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

Khan

Lehtomäki

Scott

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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“…Survey on bandwidth aggregation approaches is presented in [29]. Bandwidth aggregation in heterogeneous wireless networks provides performance enhancement such as increased throughput, improved packet delivery and load balancing etc.…”

Section: Related Workmentioning

confidence: 99%

“…± [19] WSNs 2011 ± [29] Wireless Networks 2012 ± [4] LTE-A 2014 [3] LTE-A 2014 ± The paper highlights the need to develop bandwidth aggregation solutions to get maximum benefit of aggregation strategy. Bandwidth aggregation is different from CB that in bandwidth aggregation, a node having multiple interface terminals can transmit data parallel on all available channels, hence providing load balancing, whereas CB physically bonds the contiguous available channels to make a broadband channel.…”

Section: Related Workmentioning

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

130

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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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“…A full review of the different advantages and disadvantages of scheduling at these different layers can be found in [16].…”

Section: Related Workmentioning

confidence: 99%

Mobility and Network Selection in Heterogeneous Wireless Networks: User Approach and Implementation

Román

Liao

Ball

et al. 2016

NPA

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The Intelligent Transport Systems (ITS) wireless infrastructure needs to support various safety and non-safety services for both autonomous and non-autonomous vehicles. The existing wireless infrastructures can already be used for communicating with different mobile entities at various monetary costs. A packet scheduler, included in a shim layer between the network layer and the medium access (MAC) layer, which is able to schedule packets between uncoordinated Radio Access Technologies (RATs) without modification of the wireless standards, has been devised and its performance evaluated. In this paper, we focus on the influence of mobility type in heterogeneous wireless networks. Three cases are considered based on the mobility in the city: walking, cycling, and driving. Realistic simulations are performed by generating mobility traces of Oxford from Google Maps and overlaying the real locations of existing WiFi Access Points. Results demonstrate that the shim layer approach can accommodate different user profiles and can be a useful abstraction to support Intelligent Transport Systems where there is no coordination between different wireless operators.

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Bandwidth aggregation in heterogeneous wireless networks: A survey of current approaches and issues

Cited by 107 publications

References 60 publications

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

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

Mobility and Network Selection in Heterogeneous Wireless Networks: User Approach and Implementation

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