Software-Based Implementation of LTE/Wi-Fi Aggregation and Its Impact on Higher Layer Protocols

Ibarra, Diego; Desai, Neetin; Demirkol, Ilker

doi:10.1109/icc.2018.8422694

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…There are two LWAAP modules for each LWA architecture: one LWAAP module is for eNodeB and the other is for UE. In the split bearer when PDCP LTE data reaches to eNodeB, PDCP arranges the packets at RLC and delivers all the packets to LTE 14 . On the other hand, some of the packets are sending to LWAAP by the WiFi network.…”

Section: Gpp(third Generation Partnership Project) Progressmentioning

confidence: 99%

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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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Section: Gpp(third Generation Partnership Project) Progressmentioning

confidence: 99%

“…In the split bearer when PDCP LTE data reaches to eNodeB, PDCP arranges the packets at RLC and delivers all the packets to LTE. 14 On the other hand, some of the packets are sending to LWAAP by the WiFi network. After receiving the data from LTE and WiFi, PDCP merge all the data packets for UE.…”

Section: Lwa Architecturementioning

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

View full text Add to dashboard Cite

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“…Here, we focus on the PF objective, which is commonly implemented in BSs, and show that we can optimally solve the problem in a purely distributed manner. Other works have built testbeds to evaluate the over-the-air performance of MAC-level cross-RAT throughput aggregation [17]- [20]. All these works have relied on conventional scheduling algorithms on each BS and focused on higher layer transport and application performance.…”

Section: Related Workmentioning

confidence: 99%

Proportional Fair RAT Aggregation in HetNets

Aryafar

Keshavarz‐Haddad

Joe‐Wong

2019

2019 31st International Teletraffic Congress (ITC 31)

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Heterogeneity in wireless network architectures (i.e., the coexistence of 3G, LTE, 5G, WiFi, etc.) has become a key component of current and future generation cellular networks. Simultaneous aggregation of each client's traffic across multiple such radio access technologies (RATs) / base stations (BSs) can significantly increase the system throughput, and has become an important feature of cellular standards on multi-RAT integration. Distributed algorithms that can realize the full potential of this aggregation are thus of great importance to operators. In this paper, we study the problem of resource allocation for multi-RAT traffic aggregation in HetNets (heterogeneous networks). Our goal is to ensure that the resources at each BS are allocated so that the aggregate throughput achieved by each client across its RATs satisfies a proportional fairness (PF) criterion. In particular, we provide a simple distributed algorithm for resource allocation at each BS that extends the PF allocation algorithm for a single BS. Despite its simplicity and lack of coordination across the BSs, we show that our algorithm converges to the desired PF solution and provide (tight) bounds on its convergence speed. We also study the characteristics of the optimal solution and use its properties to prove the optimality of our algorithm's outcomes.

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