Very tight coupling between LTE and WiFi: From theory to practice

Khadraoui, Younes; Lagrange, Xavier; Gravey, Annie

doi:10.1109/wd.2016.7461502

Cited by 14 publications

(5 citation statements)

References 2 publications

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“…The coupling between WiFi and a cellular network during offloading in Radio Access Networks (RAN) can be classified into three different classes: loose, tight and very tight coupling [7]. After studying these three couplings, the researcher found that continuity of session during a vertical handover is a major cause of concern for network architectures.…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled NextGen Service Architecture for Mobile Internet Offload

Singh

Tewari

2023

Future Internet

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The amalgamation of heterogeneous generations of mobile cellular networks around the globe has resulted in diverse data speed experiences for end users. At present, there are no defined mechanisms in place for subscribers of a mobile network operator (MNO) to use the services of third-party WiFi providers. MNOs also have no standardized procedures to securely interact with each other, and allow their subscribers to use third-party services on a pay-as-you-go basis. This paper proposes a blockchain-enabled offloading framework that allows a subscriber of a mobile operator to temporarily use another MNO or WiFi provider’s higher-speed network. A smart contract is employed to allow diverse entities, such as MNOs, brokers and WiFi providers, to automatically execute mutual agreements, to enable the utilization of third-party infrastructure in a secure and controlled manner. The proposed framework is tested using Ethereum’s testnet on the Goerli network using Alchemy and Hardhat. The analysis of the results obtained shows that the proposed technique helps mobile operators to offer improved user experience in the form of average speed and latency. The experiments show that the average time taken to deliver a 500 MB file is reduced from 10.23 s to 0.91 s for the global average scenario, from 6.09 s to 0.50 s for 5G, from 13.50 s to 0.50 s for 4G-LTE, from 41.11 s to 0.49 s for 4G, and from 339.11 s to 0.49 s for the 3G scenario. The results also show that, with WiFi offloading, users from all cellular generations can enjoy a similar quality of services, because delivery time ranges from 0.49 s to 0.91 s for offloaded experiments whereas for the non-offloaded scenario it ranges from 6.09 s to 339.11 s.

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Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled NextGen Service Architecture for Mobile Internet Offload

Singh

Tewari

2023

Future Internet

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“…So, all the network policies and services are handled by the network operators. Due to these advantages, we also used a very tight coupling approach in our proposed system 12 …”

Section: Coupling Techniques For Lte ‐Wifi Aggregationmentioning

confidence: 99%

An efficient SDN‐based LTE‐WiFi spectrum aggregation system for heterogeneous 5G networks

Abbas

Afaq

Khan

et al. 2020

Trans Emerging Tel Tech

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Nowadays, the continuously increasing demand for high data traffic and providing different quality of services (QoS) to the customer are very challenging tasks for all network operators. In the last few years, mobile data traffic is increased to a significant extent and half of the traffic is provided through WiFi technology which is known as WiFi offloading. To overcome the increasing traffic demand, WiFi offloading is the best option to reduce the burden of cellular networks. So, by aggregating existing indoor WiFi technology to the cellular network increases the network capacity and provides better QoS to customers. In this article, we propose and implement the LTE-WiFi aggregation system where eNodeB is responsible for the aggregation of the WiFi access point without modifying the core network. Furthermore, the proposed system is integrated with the mobile-CORD (M-CORD) platform which leverages software defined networking (SDN), network function virtualization (NFV), and cloud technologies for providing a 5G environment. M-CORD platform has three main modules: service orchestrator (XOS), SDN controller ONOS, and OpenStack. One of the important features of M-CORD is to provide virtualized core network functions that enable the users to automatically customize, monitor, and control the resources of the network. Due to ONOS controller support, we can easily scale up the network instances by giving the configurations to service orchestrator XOS of the M-CORD. The implementation of the proposed system is based on the OpenAirInterface (OAI) platform which provides open sources implementation of core and access networks. The aggregation of both LTE and WiFi technologies is done at the PDCP layer in a very tight coupling way. Moreover, we test our proposed system with three kinds of policies for UDP and TCP traffic: LTE only, WiFi only, and LTE-WiFi aggregated. The experimental results show that our proposed LTE-WiFi aggregated system gives better performance and provides high bandwidth as compared to the LTE network.

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“…From a technical perspective, bandwidth sharing and offloading are enabled by implementing handovers and/or multipath connections, which are well covered in research. [16], [17], [18] show the feasibility of multipath TCP for handovers between mobile and WiFi networks in the current Internet and [19] describes available features for mobile traffic offloading. Futhermore, [20] gives an overview on approaches that enable mobility and multihoming.…”

Section: Background and Related Workmentioning

confidence: 99%

An approximation of the backhaul bandwidth aggregation potential using a partial sharing scheme

Burger

Seufert

Zinner

et al. 2017

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

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To cope with the increasing demands of mobile devices and the limited capacity of cellular networks, mobile connections are offloaded to WiFi. The access capacity is further increased by aggregating backhaul bandwidth of WiFi access links. To analyze the performance of aggregated access links we develop a model for two and more cooperating systems sharing capacities using an offloading scheme. The state probabilities of the different cooperating systems in the analytic model are determined by a fixed point iterative procedure. By investigating an inner and outer composite system we are able to analyze the system in imbalanced load conditions where the system reaches its full potential utilizing spare bandwidth. To evaluate the robustness of the system against users that try to exploit the system, the bandwidth received by prioritized users is quantified.

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Very tight coupling between LTE and WiFi: From theory to practice

Cited by 14 publications

References 2 publications

Blockchain-Enabled NextGen Service Architecture for Mobile Internet Offload

Blockchain-Enabled NextGen Service Architecture for Mobile Internet Offload

An efficient SDN‐based LTE‐WiFi spectrum aggregation system for heterogeneous 5G networks

An approximation of the backhaul bandwidth aggregation potential using a partial sharing scheme

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