Evaluation of LTE Unlicensed Solutions Using ns-3

Ana, Pedro M. de Sant; Neto, José M. de C.; Sousa, Vicente A. de

doi:10.1109/csci.2017.116

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…The authors in [18] proposed an approach to disable standard LTE transmissions on specific subframes using the almost blank subframe (ABS) LTE functionality. Their results demonstrate that LTE-DC can operate harmoniously with Wi-Fi and even LTE-LAA by adequately adjusting the duty cycle [19][20][21].…”

Section: Related Workmentioning

confidence: 99%

“…During the activated periods, LTE-U transmits as a standard LTE, and during the deactivated period, the channel is released so that the coexisting technologies can transmit. LTE-U operating with CSAT algorithm is also called, in literature, as LTE-DC [10,12,21]. As Qualcomm mainly proposed CSAT, the details of its algorithm implementation are hidden, opening up the possibility of alternative implementations by the industrial and academic community.…”

Section: The Lte-u Coexistence Mechanismsmentioning

confidence: 99%

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Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Neto

Ana

et al. 2020

Sensors

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Cellular broadband Internet of Things (IoT) applications are expected to keep growing year-by-year, generating demands from high throughput services. Since some of these applications are deployed over licensed mobile networks, as long term evolution (LTE), one already common problem is faced: the scarcity of licensed spectrum to cope with the increasing demand for data rate. The LTE-Unlicensed (LTE-U) forum, aiming to tackle this problem, proposed LTE-U to operate in the 5 GHz unlicensed spectrum. However, Wi-Fi is already the consolidated technology operating in this portion of the spectrum, besides the fact that new technologies for unlicensed band need mechanisms to promote fair coexistence with the legacy ones. In this work, we extend the literature by analyzing a multi-cell LTE-U/Wi-Fi coexistence scenario, with a high interference profile and data rates targeting a cellular broadband IoT deployment. Then, we propose a centralized, coordinated reinforcement learning framework to improve LTE-U/Wi-Fi aggregate data rates. The added value of the proposed solution is assessed by a ns-3 simulator, showing improvements not only in the overall system data rate but also in average user data rate, even with the high interference of a multi-cell environment.

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Section: Related Workmentioning

confidence: 99%

Section: The Lte-u Coexistence Mechanismsmentioning

confidence: 99%

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Neto

Ana

et al. 2020

Sensors

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“…Este trabalho tem como objetivo apresentar e testar o módulo do ns-3 que implementa a coexistência entre NR-U e Wi-Fi. A intenção é conceber soluções de coexistência similares aos desenvolvidos pelos autores para coexistência LTE-U/Wi-Fi [2], [6], [10], [19], [20]. Contudo, como os testes aqui expostos evidenciam, o módulo não está maduro o suficiente e precisa de intervenção da comunidade de desenvolvimento para resolução de problemas.…”

Section: Conclusõesunclassified

“…Vários trabalhos abordam coexistência LTE/Wi-Fi em banda 5 GHz não licenciada[2],[6]-[10]. Existe unanimidade em afirmar que o LTE-LBT é melhor vizinho para o Wi-Fi do que ele mesmo, e que o LTE-DC depende de um ciclo de trabalho flexível e adaptável para uma coexistência eficiente.…”

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Análise da aplicabilidade do ns-3 na avaliação de cenários de coexistência do 5G NR-U com o Wi-Fi

Macedo,

Luna,

Silva

et al. 2023

Anais Do XLI Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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“…In our previous works [ 6 , 7 , 8 , 9 , 10 ], we have demonstrated how the first two solutions work and how they interact with Wi-Fi, which is currently the most successful technology utilizing the unlicensed spectrum. We also proposed a centralized Q-Learning (QL) solution to increase system throughput in a coexistence multicell scenario with LTE-U and Wi-Fi [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

A Multiarmed Bandit Approach for LTE-U/Wi-Fi Coexistence in a Multicell Scenario

Rego

Neto

et al. 2023

Sensors

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Recent studies and literature reviews have shown promising results for 3GPP system solutions in unlicensed bands when coexisting with Wi-Fi, either by using the duty cycle (DC) approach or licensed-assisted access (LAA). However, it is widely known that general performance in these coexistence scenarios is dependent on traffic and how the duty cycle is adjusted. Most DC solutions configure their parameters statically, which can result in performance losses when the scenario experiences changes on the offered data. In our previous works, we demonstrated that reinforcement learning (RL) techniques can be used to adjust DC parameters. We showed that a Q-learning (QL) solution that adapts the LTE DC ratio to the transmitted data rate can maximize the Wi-Fi/LTE-Unlicensed (LTE-U) aggregated throughput. In this paper, we extend our previous solution by implementing a simpler and more efficient algorithm based on multiarmed bandit (MAB) theory. We evaluate its performance and compare it with the previous one in different traffic scenarios. The results demonstrate that our new solution offers improved balance in throughput, providing similar results for LTE and Wi-Fi, while still showing a substantial system gain. Moreover, in one of the scenarios, our solution outperforms the previous approach by 6% in system throughput. In terms of user throughput, it achieves more than 100% gain for the users at the 10th percentile of performance, while the old solution only achieves a 10% gain.

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Evaluation of LTE Unlicensed Solutions Using ns-3

Cited by 3 publications

References 8 publications

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Multi-Cell LTE-U/Wi-Fi Coexistence Evaluation Using a Reinforcement Learning Framework

Análise da aplicabilidade do ns-3 na avaliação de cenários de coexistência do 5G NR-U com o Wi-Fi

A Multiarmed Bandit Approach for LTE-U/Wi-Fi Coexistence in a Multicell Scenario

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