Dual Connectivity Enabled User Association Approach for Max-Throughput in the Downlink Heterogeneous Network

Shi, Youwei; Qu, Hua; Zhao, Jihong

doi:10.1007/s11277-017-4182-7

Cited by 14 publications

(13 citation statements)

References 14 publications

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“…In equation ( 1 ), W 1 , W 2 , and W 3 are the corresponding matching weights of the calculation cost T pt , transmission cost T ts , and credibility t fj of node n j in the actual environment, respectively. According to the actual environment of the system, different values can be assigned [ 30 ].…”

Section: Research Theoretical Analysismentioning

confidence: 99%

Internet of Things Task Migration Algorithm under Edge Computing in the Design of English Translation Theory and Teaching Practice Courses

Guo

2022

Computational Intelligence and Neuroscience

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This study aims to improve the quality of English teaching in contemporary colleges and universities, so as to cultivate more English translation talents. Taking corpus, English translation, and teaching practice as the main research horizons, this study analyzes the application of master of translation and interpreting (MTI) course design, English translation, and task migration by combining the task migration algorithm under Internet of Things (IoT) with the self-built corpus, so as to realize the cultivation of translation talents and design of teaching practice. A translation corpus is constructed, a two-way interactive online course is designed, and the experimental results of the complete local migration algorithm (CLM algorithm), random migration algorithm (RM algorithm), and greedy heuristic migration algorithm (GHM algorithm) used in English teaching practice courses are analyzed and compared. The experimental simulation results reveal that the GHM algorithm proposed in this study shows good system stability, its duration is 60% better than that of the CLM algorithm, and its system throughput is increased by 50% compared with the CLM algorithm. In addition, the maximum delay time has little effect on the system throughput. When the system time slot length is fixed at 20 ms, the user migration rate of the genetic algorithm is the highest under the different total numbers of users. In addition, in view of the wide application of neural network in English translation teaching, this study establishes an English translation evaluation model based on the combination of particle swarm optimization (PSO) algorithm and neural network and compares it with the traditional neural network model in simulation experiments. The results show that the addition of PSO algorithm can effectively improve the convergence speed of artificial neural network (ANN), reduce the training time of the model, and improve the accuracy of the ANN network. Using the PSO algorithm to train the neural network, the optimal solutions of different particle swarms can be obtained, and the error is small. The PSO-ANNs model can promote the quality of English translation teaching and improve the English translation ability of the students. Therefore, applying the task transfer algorithm and PSO algorithm to the practice of English translation teaching has greatly improved the efficiency of the English classroom. To sum up, this study provides new ideas for the curriculum design of contemporary college English teaching and has reference value for the cultivation of college English translation talents.

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Section: Research Theoretical Analysismentioning

confidence: 99%

Internet of Things Task Migration Algorithm under Edge Computing in the Design of English Translation Theory and Teaching Practice Courses

Guo

2022

Computational Intelligence and Neuroscience

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“…As a consequence, authors in [7] proposed a Dual Connectivity (DC) based User Association solution, wherein they formulate an optimization problem based on maximizing the sum throughput. Since, the problem is ridden with nonlinearities and is NP-hard, they propose a tractable solution to achieve the optimal solution.…”

Section: State Of the Artmentioning

confidence: 99%

“…(2), ( 5), ( 6) and (7), introduces a non-linearity. To resolve this we perform a linearization operation, which is detailed in the following text.…”

Section: The Optimization Framework: Mathematical Formulation and Sol...mentioning

confidence: 99%

“…1) Most of the research works discussed in the literature present a user association method that allows the user to connect to only one AP at most [25]- [28]. Certain works such as [7], [8], etc., discuss the problem of user association in a Dual Connectivity (DC) scenario. However, the analysis is limited to scenarios where SCs are tightly coupled to macro cells (MCs).…”

Section: Introductionmentioning

confidence: 99%

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User association and resource allocation in 5G (AURA-5G): A joint optimization framework

2021

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“…However, even though they formulated their optimization problem considering the DC possibility, no performance evaluation was conducted in DC-enabled scenarios. In [15], the authors formulated an optimization problem for throughput maximization where the users had DC capabilities, while in [16] the authors considered a throughput maximization problem for cell selection where proportional fairness among users was taken into account, but the HetNet scenarios analyzed therein were composed of only LTE eNBs. In [17], an optimal user association algorithm considering fairness is proposed.…”

Section: A Ue-cell Associationmentioning

confidence: 99%

Dual Connectivity for LTE-NR Cellular Networks: Challenges and Open Issues

Antonioli

Parente²,

Silva³

et al. 2018

JCIS

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The Dual Connectivity (DC) technology has gained a lot of momentum in the LTE Release 12 as a means to enhance the per-user throughput and provide mobility robustness. Some studies in the literature have discussed the interworking between the LTE and the air interface of the upcoming Fifth Generation (5G) in a DC scenario. That integration may provide some benefits to meet the high throughput, reliability and availability requirements of the 5G networks. This work firstly presents a brief overview of the DC technology considering the integration between 4G e 5G. Then, we highlight some open issues and challenges for future investigation involving Radio Resource Management (RRM) in such a scenario, which includes: (i) user-cell association, (ii) interaction between base stations and (iii) resource allocation. After that, we propose an extension of a utility-based resource allocation algorithm for DC scenarios. Finally, a performance evaluation is conducted in multi-Radio Access Technology (RAT) LTE-NR scenarios considering the bearer split configuration of the DC technology, where the gains provided by the proposed algorithm are demonstrated.

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Dual Connectivity Enabled User Association Approach for Max-Throughput in the Downlink Heterogeneous Network

Cited by 14 publications

References 14 publications

Internet of Things Task Migration Algorithm under Edge Computing in the Design of English Translation Theory and Teaching Practice Courses

Internet of Things Task Migration Algorithm under Edge Computing in the Design of English Translation Theory and Teaching Practice Courses

User association and resource allocation in 5G (AURA-5G): A joint optimization framework

Dual Connectivity for LTE-NR Cellular Networks: Challenges and Open Issues

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