Adaptive resource allocation framework for user satisfaction maximization in multi-service wireless networks

Antonioli, Roberto P.; Rodrigues, Emanuel B.; Maciel, Tarcísio F.; Sousa, Diego Aguiar; Cavalcanti, Francisco R. P.

doi:10.1007/s11235-017-0391-3

Cited by 11 publications

(16 citation statements)

References 24 publications

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“…Comparing the curves F(30)+TSM and F(30)+PF, the handover procedure and flow control algorithm are equal, such that the gains obtained come only from the proposed resource allocation. The gains occur because the proposed solution aims at maximizing the user satisfaction by allocating the resources based on their QoS level using a well-designed utility function [44]. It is important to mention that the highest performance obtained by both TSM and PF happened when the flow control algorithm was F(30), i.e., when the MeNB transmitted only 30% of the data to each user and sent the other 70% to the SeNB.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Thus, it would not be fair to use those algorithms for comparison. Besides that, the performance of the algorithms from [28] was beaten in previous studies by the traditional PF algorithm [43], [44], which is used as the baseline for the algorithm used as benchmarking in this study. Therefore, only the cross-carrier PF [13] was used for comparison, which is a modified version of the well-known PF algorithm that attempts to guarantee fairness in scenarios with DC by modifying the scheduling metric.…”

Section: A Simulation Assumptionsmentioning

confidence: 99%

“…where T req j is the throughput requirement of the user, µ = −1 yielding an ascending utility function and σ = 0.1088, which is a parameter that controls the regulation of the logistic function shape [44]. The modification we propose herein compared to the original TSM is to use the total user throughput, as done in the cross-carrier PF, so that we capture the global QoS experience of the users, instead of only the local experience.…”

Section: B Proposed Resource Allocation Schemementioning

confidence: 99%

See 2 more Smart Citations

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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Section: Simulation Resultsmentioning

confidence: 99%

Section: A Simulation Assumptionsmentioning

confidence: 99%

Section: B Proposed Resource Allocation Schemementioning

confidence: 99%

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

Antonioli

Parente²,

Silva³

et al. 2018

JCIS

View full text Add to dashboard Cite

show abstract

“…Let us now describe in more detail the proposed scheduling framework. We assume that there are two RATs in the system, i.e, N = 2 and that user u can be connected to one BS from each RAT n, i.e, l j,n = 1, ∀j, n. x n,b, j can be specialized to be several types of QoS metrics, such as throughput, packet delay or buffer size [19]. For instance, if x n,b, j is the throughput T n,b, j of user j on BS b of RAT n, it is given by:…”

Section: Unified Framework For Nsa 5g With DCmentioning

confidence: 99%

Unified Scheduling Framework for Dual Connectivity in Multi-RAT NSA 5G Networks

Antonioli

Sousa

Rodrigues

et al. 2020

JCIS

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Supporting the dual connectivity technology in non-stand-alone 5G scenarios involves three main functionalities: a user device (UD)-base station (BS) association (UBA) mechanism, a flow control algorithm (FCA) to determine the data split transmitted by each BS and radio resource management (RRM) algorithms. However, previous works only focused on the design of at most two of these functionalities. In this letter, we go beyond and design a unified scheduling framework including the three aforementioned functionalities. The proposed framework targets the user satisfaction maximization and runs in a completely decentralized fashion, where the UBA algorithm runs independently at each UD, the FCA is executed at the master LTE BS and the RRM is performed individually by each BS. Simulations show the gains of the proposed solution compared to existing solution that addressed at most two functionalities.

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“…This algorithm solves the problem of network utility maximization by using Karush-Kuhn-Tucker (KKT) conditions. In [10], a unified user satisfaction function is proposed, which normalizes multiple network parameters into the same function for calculation. However, these researches are studied in wireless network.…”

Section: Introductionmentioning

confidence: 99%

Fair Resource Allocation Based on User Satisfaction in Multi-OLT Virtual Passive Optical Network

et al. 2020

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In this paper, a fair resource allocation mechanism based on user satisfaction in multiple optical line terminal (multi-OLT) virtual passive optical network (VPON) is proposed. By introducing user satisfaction functions, the satisfaction of users can be quantified. By presenting multi-OLT VPON in metroaccess optical network (MAON), different priority services can be effectively handled separately. Based on user satisfaction, a fair resource allocation mechanism called double fair dynamic bandwidth allocation scheme (DFDBAS) is proposed. DFDBAS is a combination of two algorithms: wavelength fair allocation (WFA) algorithm and timeslot fair allocation (TFA) algorithm. In TFA algorithm, max-min fairness (MMF) algorithm is presented to allocate bandwidth for high priority service and Lagrange multiplier method is implemented to allocate bandwidth for low priority service. By implementing DFDBAS, not only user delay satisfaction can be improved, but also user bandwidth satisfaction can increase. By the simulation and analysis, the effectiveness of the proposed algorithms is demonstrated. Compared with modified limited service (LS) algorithm, DFDBAS makes both delay satisfaction and bandwidth satisfaction increase by at least 30% when the load is greater than 1. INDEX TERMS user satisfaction, multi-OLT PON, max-min fairness, dynamic bandwidth allocation, virtual passive optical network

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Adaptive resource allocation framework for user satisfaction maximization in multi-service wireless networks

Cited by 11 publications

References 24 publications

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

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

Unified Scheduling Framework for Dual Connectivity in Multi-RAT NSA 5G Networks

Fair Resource Allocation Based on User Satisfaction in Multi-OLT Virtual Passive Optical Network

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