Maximization of user satisfaction in OFDMA systems using utility‐based resource allocation

Rodrigues, Emanuel B.; Lima, F. Rafael M.; Maciel, Tarcísio F.; Cavalcanti, Francisco R. P.

doi:10.1002/wcm.2526

Cited by 15 publications

(49 citation statements)

References 23 publications

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“…Our study considers the problem of improving the percentage of satisfied users in the downlink of an OFDMA system, broadening the design of utility‐based scheduling algorithms performed in a previous study . The general contributions of this work are: Generalization of the QoS‐aware scheduling framework proposed in a previous study, by the evaluation of another utility function, called shifted log‐logistic; Design, analysis, and evaluation of new scheduling algorithms, called MTSM and MDSM. …”

Section: Related Workmentioning

confidence: 99%

“…The scheduling framework proposed in a previous study uses the sigmoid as utility function. Looking for new strategies of scheduling, our proposal evaluates another function, called shifted log‐logistic.…”

Section: Related Workmentioning

confidence: 99%

“…The scheduling algorithms proposed in a previous study, namely TSM and DSM, allocate resources for a strict set of users near the QoS requirement. The algorithms here proposed aim at maximizing the satisfaction of users of different services: Modified Throughput‐based Satisfaction Maximization (MTSM) for NRT services; Modified Delay‐based Satisfaction Maximization (MDSM) for RT services. …”

Section: Related Workmentioning

confidence: 99%

“…An RT user is considered to be satisfied if its

d_{j}^{hol}

is equal to or lower than a threshold

false(d_{j}^{hol} false[n false] ⩽ d_{j}^{req} false)

, where

d_{j}^{hol} false[n false]

is the time that the oldest packet in the user's buffer has to wait before gaining access to the wireless channel. It is assumed that a frame is lost if a packet arrives at the receiver later than the delay budget …”

Section: Scenario Descriptionmentioning

confidence: 99%

“…Due to space limitations, we omitted some development steps. More details are provided at a previous study …”

Section: General Utility‐based Scheduling Frameworkmentioning

confidence: 99%

See 4 more Smart Citations

QoS‐aware scheduling algorithms to enhance user satisfaction in OFDMA systems

Neto

Rodrigues

Sousa

et al. 2017

Trans. Emerging Tel. Tech.

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This work aims the development of scheduling algorithms to maximize user satisfaction index in the downlink of an Orthogonal Frequency Division Multiple Access network, considering different traffic models of Non‐Real Time and Real Time services; and more realistic channel conditions, eg, imperfect Channel State Information. To solve the problem of maximizing the satisfaction with affordable complexity, a cross layer optimization approach uses the utility theory to formulate the problem as a weighted sum rate maximization. Aiming at the maximization of the satisfaction of users of Non‐Real Time and Real Time services, 2 scheduling algorithms are proposed: Modified Throughput Satisfaction Maximization and Modified Delay‐based Satisfaction Maximization, respectively. The modification of parameters of the shifted log‐logistic utility function enables different strategies of distribution of resources. System level simulations indicate the accomplishment of the objective of development of efficient and low complexity scheduling algorithms able to maximize the satisfaction indexes. These strategies can be useful to the network operator who is able to design and operate the network according to a planned user satisfaction profile.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…An RT user is considered to be satisfied if its

d_{j}^{hol}

is equal to or lower than a threshold

false(d_{j}^{hol} false[n false] ⩽ d_{j}^{req} false)

, where

d_{j}^{hol} false[n false]

Section: Scenario Descriptionmentioning

confidence: 99%

“…Due to space limitations, we omitted some development steps. More details are provided at a previous study …”

Section: General Utility‐based Scheduling Frameworkmentioning

confidence: 99%

See 3 more Smart Citations

QoS‐aware scheduling algorithms to enhance user satisfaction in OFDMA systems

Neto

Rodrigues

Sousa

et al. 2017

Trans. Emerging Tel. Tech.

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Joint scheduling and mapping in support of downlink fairness and spectral efficiency in ieee 802.16e OFDMA system

Thanh

Tung

Thu

et al. 2016

Int J Communication

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SUMMARYThe next generation broadband wireless networks deploy orthogonal frequency division multiple access (OFDMA) as the enabling technologies for broadband data transmission with QoS capabilities. In such broadband wireless systems, one major issue is how to utilize radio resource efficiently while maintaining fairness between sessions as well as providing adequate QoS. In this work, we propose an approach for OFDMA/time division duplex (TDD) downlink suitable for IEEE802.16e WiMAX systems that combines scheduling and burst mapping algorithms for a trade-off between session fairness, QoS, and spectral efficiency. While optimizing radio resources under QoS and fairness constraints is an NP-hard problem, we follow a heuristic approach that simplifies the complexity of the algorithm. Performance results show that while the new scheme outperforms the Proportional Fair algorithm in terms of fairness, it also improves the overall system spectral efficiency.

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Optimal tuned mass dampers for wind turbines using a Sigmoid satisfaction function‐based multiobjective optimization during earthquakes

Chen

Kareem

et al. 2021

Wind Energy

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Recent installation of many wind turbines in earthquake‐prone areas worldwide has increased concerns regarding their seismic performance. This study introduces a multiobjective optimization design method using a modified Sigmoid satisfaction function to efficiently minimize the seismic response by installing tuned mass dampers (TMDs) on wind turbines. Inspired by the human decision‐making process, the modified Sigmoid function was utilized to improve the satisfaction function and balance the optimization objectives. Incorporating the particle swarm optimization algorithm resulted in lower sensitivity to the combination weighting factors and significantly reduced the effort required to calibrate the weighting factors for any practical multiobjective optimization problem. To verify the efficacy of the proposed methodology, a TMD was designed on a National Renewable Energy Laboratory (NREL) 5‐MW benchmark wind turbine, with constraints on both the top displacement and TMD stroke as design objectives. The results were compared to those obtained using the conventional linear weighted sum method, thereby highlighting the advantages of the proposed method. The scope of application of the proposed method is further demonstrated by a more complex TMD design problem involving 13 design objectives with typical seismic excitations.

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Maximization of user satisfaction in OFDMA systems using utility‐based resource allocation

Cited by 15 publications

References 23 publications

QoS‐aware scheduling algorithms to enhance user satisfaction in OFDMA systems

QoS‐aware scheduling algorithms to enhance user satisfaction in OFDMA systems

Joint scheduling and mapping in support of downlink fairness and spectral efficiency in ieee 802.16e OFDMA system

Optimal tuned mass dampers for wind turbines using a Sigmoid satisfaction function‐based multiobjective optimization during earthquakes

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