Long Term Evolution-Wireless Local Area Network Aggregation Flow Control

Liu, David; Laselva, Daniela; Wallmeier, Eugen; Purovesi, Paivi; Lundén, Petteri; Virtej, Elena; Lechowicz, Piotr; Malkamaki, E.; Ding, Ming

doi:10.1109/access.2016.2643690

Cited by 27 publications

(26 citation statements)

References 9 publications

(11 reference statements)

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“…and unlicensed carriers aggregation has been verified experimentally in [4]. Lopez-Perez et al [5] present a traffic aggregation-based LWA flow control algorithm. Reference [6] implements the radio resource management layer for LWA.…”

Section: B Related Work and Motivationmentioning

confidence: 97%

Throughput and Delay Analysis of LWA With Bursty Traffic and Randomized Flow Splitting

et al. 2019

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We investigate the effect of bursty traffic in a long term evolution (LTE) and Wi-Fi aggregation (LWA)-enabled network. The LTE base station routes packets of the same IP flow through the LTE and Wi-Fi links independently. We motivate the use of superposition coding at the LWA-mode Wi-Fi access point (AP) so that it can serve LWA users and Wi-Fi users simultaneously. A random access protocol is applied in such system, which allows the native-mode AP to access the channel with probabilities that depend on the queue size of the LWA-mode AP to avoid impeding the performance of the LWA-enabled network. We analyze the throughput of the native Wi-Fi network and the delay experienced by the LWA users, accounting for the native-mode AP access probability, the traffic flow splitting between LTE and Wi-Fi, and the operating mode of the LWA user with both LTE and Wi-Fi interfaces. Our results show some fundamental tradeoffs in the throughput and delay behavior of LWA-enabled networks, which provide meaningful insight into the operation of such aggregated systems. INDEX TERMS LTE and Wi-Fi aggregation, shared access, throughput, delay, queueing analysis.

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Section: B Related Work and Motivationmentioning

confidence: 97%

Throughput and Delay Analysis of LWA With Bursty Traffic and Randomized Flow Splitting

et al. 2019

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“…Further, LTE-U based on 3GPP Release 10 technology and first defined in Non-Listen Before Talk (NLBT) regions [18], and LAA in Listen Before Talk (LBT) regions also ratified by 3GPP [29] have been comprehensively studied in [30]- [32]. Finally, a substantial effort has been devoted in [33] and [34] to evaluating LTE-WLAN Aggregation (LWA) [35], which originates from LTE Dual Connectivity (DC) in 3GPP Release 12, as well as a spectrum sharing framework named Licensed Shared Access (LSA) in Europe and its alternative solution known as Spectrum Access Systems (SAS) in the US.…”

Section: Towards Performance Analysis Of Integration Optionsmentioning

confidence: 99%

Integrated Use of Licensed- and Unlicensed-Band mmWave Radio Technology in 5G and Beyond

Sopin²,

Petrov³

et al. 2019

IEEE Access

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The 3GPP standardization rapidly moves forward with studies of a wide-bandwidth waveform as well as an adaptation of the emerging 5G new radio (NR)-based access to the unlicensed spectrum (NR-U). One of the basic architectures for NR-U involves carrier aggregation of an anchor-licensed-NR carrier and a secondary carrier in unlicensed spectrum, which altogether allows for seamless traffic offloading in scenarios where multi-gigabit data rates are required. While today's research on NR-U addresses mostly physical-and protocol-layer aspects, a system-level performance of the NR-U offloading mechanisms has not been investigated thoroughly. In this paper, we develop a mathematical queuing-theoretic framework that is mindful of the specifics of millimeter-wave (mmWave) session dynamics and may serve as a flexible tool for the analysis of various strategies for the integrated use of licensed and unlicensed mmWave bands in terms of the session drop probability and system utilization. To illustrate this, we select three distinct strategies (based on sequential service, probabilistic offloading, or proportional splitting), and complement our mathematical models with a detailed performance evaluation in a representative massive augmented/virtual reality scenario. Based on this quantitative analysis of the selected schemes, we conclude that proportional splitting of traffic between the two mmWave bands leads to a better performance. We believe that the contributed mathematical analysis can become an important building block in further system development and service optimization across many usage scenarios.

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“…Moreover, each Regarding LWA, there has not been much research. However, some of the studies relate to TCP delay minimization [21] and traffic steering [22]. Some papers worked on maximizing LWA network throughput based on mathematical optimization [23], which is NP hard, in general.…”

Section: System Modelmentioning

confidence: 99%

An Admission Control Mechanism for 5G LWA

2018

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Abstract:To alleviate the spectrum scarcity problem in fifth-generation (5G) networks, traditional mobile data offloading schemes from long term evolution (LTE) to wireless local area networks (WLANs) have been revised by the third-generation partnership project (3GPP) in release 13, which is known as LTE-WLAN aggregation (LWA). With LWA, user equipment units (UEs) supporting both LTE and WLAN can utilize both LTE and WLAN links simultaneously. Thus, UEs under the coverage of an LWA network will be surrounded by multiple standards, such as LTE, WLAN, and LWA, along with cells of different sizes and coverage. Providing the LWA service to all UEs unconditionally may lead to serious intra-cell unfairness, degradation of system-level quality of service (QoS), and a reduction in system resource utilization. Hence, to resolve this issue, two important challenges need to be addressed: Which LTE UEs should be transferred, and how many LTE UEs need to be transferred. In this paper, we propose a user-offloading algorithm for evolved node B (eNB) hardware that smartly allocates the deprived LTE UEs and assigns the LWA service to an optimal number of UEs without degrading the QoS for existing WLAN UEs. With this proposed scheme, all LWA-preferred UEs with poor LTE performance and a good WLAN condition have the opportunity to access LWA service to improve performance. We show that the proposed scheme maximizes the throughput performance of the whole network.

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Long Term Evolution-Wireless Local Area Network Aggregation Flow Control

Cited by 27 publications

References 9 publications

Throughput and Delay Analysis of LWA With Bursty Traffic and Randomized Flow Splitting

Throughput and Delay Analysis of LWA With Bursty Traffic and Randomized Flow Splitting

Integrated Use of Licensed- and Unlicensed-Band mmWave Radio Technology in 5G and Beyond

An Admission Control Mechanism for 5G LWA

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