LWIR: LTE-WLAN Integration at RLC Layer with Virtual WLAN Scheduler for Efficient Aggregation

Sharma, Prashant; Brahmakshatriya, Ajay; Pasca, S Thomas Valerrian; Tamma, Bheemarjuna Reddy; Franklin, A. Antony

doi:10.1109/glocom.2016.7841971

Cited by 11 publications

(9 citation statements)

References 2 publications

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“…This approach considers delay, power and Quality of Experience (QoE) as primary parameters to split the traffic. The work in [22] reduces the waiting time of queues by introducing a virtual WLAN scheduler and aggregating at RLC layer, however, it is not applicable for non-collocated scenarios as it demands heavy MAC layer interactions. Connecting to a BS and AP is considered as a joint optimization problem in [23] and it is solved to minimize cost and power.…”

Section: Literature Reviewmentioning

confidence: 99%

“…and are the power consumed in LTE and WiFi network respectively. The throughput of UE is derived from Shannon-Hartley theorem as in [22] which dependent on factors like network load, interference affecting signal strength etc. It gains best throughput independent of network load when it is always aggregated, as it receives dataflow from both LTE and WiFi network which turns out to be the best case.…”

Section: Analysis Of Throughput Maximizationmentioning

confidence: 99%

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SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

Anbalagan

Kumar

et al. 2020

Future Generation Computer Systems

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Section: Literature Reviewmentioning

confidence: 99%

Section: Analysis Of Throughput Maximizationmentioning

confidence: 99%

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

Anbalagan

Kumar

et al. 2020

Future Generation Computer Systems

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“…To reduce the delay difference, the study assumed that it is possible to redesign the radio link control (RLC) and the radio resource management (RRM) layer of the LWA. Sharma et al [12] proposed a queue management scheme to reduce the out-of-delivery transmissions, while Lin et al [13] designed a delay-sensitive switching structure between LTE and WiFi. Balan et al [14] proposed an adaptive management scheme for WiFi and LTE resources depending on the radio conditions, such as the radio signal strength index (RSSI) for the WiFi and signal-to-interference noise ratio (SINR) for LTE around the users who stayed in both regions.…”

Section: Rerated Workmentioning

confidence: 99%

“…For example, the approaches in [8] and [11] require the estimation of available licensed bandwidth and the exact load over the WiFi network, both of which could not be perfect if the rapidly changing radio environment and users' behaviors are considered. Other prior works [12]- [14], also assumed the existence of inter-cell interfaces (e.g., Xw interface: 3GPP TS36.465, E-UTRAN, and WLAN-Xw interface user plane protocol) for information exchange necessary for running their algorithms. Unfortunately, frequent measurements from the WiFi networks and information exchange via a separate interface are unrealistic.…”

Section: Rerated Workmentioning

confidence: 99%

Nash Bargaining Approach for Fair and Efficient LTE–WiFi Aggregation

2019

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As the demand for mobile traffic is growing, radio frequency bandwidths often become insufficient for guaranteeing specific performance. Utilizing unlicensed 5 GHz broadband bandwidths, the LWA system enables the synergistic use of LTE and WiFi systems based on link aggregation techniques, without critical deterioration of service quality. This provides considerable benefits to the mobile operators when they successfully operate two networks and maintain an optimal balance in managing network resources. This study addresses balancing and fairness for newly emerging LWA systems. In particular, we develop a two-stage LWA access framework based on the Nash bargaining game. The framework further improves fairness and efficiency in the LTE-WiFi resource utilization by incorporating user segmentations on the basis of user characteristics, such as service contract and usage patterns. Extensive experiments using a network simulator with an NS-3 unlicensed band produce good performance in terms of fairness and efficiency. The proposed scheme demonstrates better outcomes compared to the existing methods while concurrently using radio resources in the LWA system in a fair manner. Moreover, our approach presents a simple and fast decision-making process and requires simple user profiles-contract status and traffic generation history. Therefore, the proposed scheme is far lighter and more flexible than traditional approaches that require extensive information exchanges between heterogeneous networks.

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“…In [6], authors have studied the performance of TCP in LWA using a real time testbed and observed that PDCP reordering timer has an adverse impact on TCP. A new architecture, coined as LWIR [7], for efficient LTE and WLAN aggregation at the RLC layer of LTE eNodeB has been proposed. In LWIR architecture, the packet from cellular core network is steered at RLC into LTE or Wi-Fi MAC queues.…”

Section: Architecture Proposal and Standardsmentioning

confidence: 99%

A real-time performance evaluation of tightly coupled LTE Wi-Fi radio access networks

Pasca

Patro

Tamma

et al. 2017

2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)

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A tight coupling of LTE and Wi-Fi interfaces can be achieved by integrating them at their radio protocol stacks. LTE and Wi-Fi radio level integration with IPSec tunnel (LWIP) was introduced by 3GPP as part of Rel-13. This tighter level of interworking replaces the traditional way of cellular-Wi-Fi interworking through a packet gateway and it can react to the dynamic changes in the wireless link quality. In this paper, we present a variant of LWIP prototype that works with commercial UE (Nexus 5). The developed LWIP prototype uses OpenAirInterface (OAI) for LTE network and Cisco Access Point (AP) as Wi-Fi AP. We also present the design and implementation of LWIP prototype and interesting results for tight interworking of LTE and Wi-Fi at IP level. We have evaluated the LWIP performance with different Link Aggregation Strategies (LAS) using both UDP and TCP. We have observed that, in a highly loaded Wi-Fi channel, when LWIP employs Wi-Fi only in Downlink (WoD) LAS, then sum of individual TCP flow throughput has improved by 28% as compared to LWIP operating with Flow Split (FS) LAS. We have enumerated the challenges which has to be addressed in LWIP to reap the maximum benefits.

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LWIR: LTE-WLAN Integration at RLC Layer with Virtual WLAN Scheduler for Efficient Aggregation

Cited by 11 publications

References 2 publications

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networks

Nash Bargaining Approach for Fair and Efficient LTE–WiFi Aggregation

A real-time performance evaluation of tightly coupled LTE Wi-Fi radio access networks

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