Applying Genetic Algorithms to the Data Traffic Scheduling and Performance Analysis of a Long-Term Evolution System

Tseng, Hsien‐Wei; Lee, Yang-Han; Lo, Chi‐Wen; Yen, Liang-Yu; Jan, Yih-Guang

doi:10.1007/s11277-014-2135-y

Cited by 3 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…proposed another approach where the authors use both cooperative and non-cooperative games for the femtocell environment. Tseng et al [130] proposed a genetic-algorithm based technique that uses binary bit chromosome mutation based on fitness values. The fitness value is defined using resource block pairs.…”

Section: ) Throughput and Spectral Efficient Techniquesmentioning

confidence: 99%

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

et al. 2021

View full text Add to dashboard Cite

The Machine-to-Machine (M2M) communication refers to an autonomous communication among devices that aims for a massive number of connected devices. M2M communication can support ubiquitous communication and full mechanical automation, and it will change everything from industry to ourselves. Recent developments in communication technology make Long Term Evolution (LTE)/Long Term Evolution-Advance (LTE-A) a promising technology for supporting M2M communication. LTE can support the diverse characteristic of M2M communication due to its IP connectivity, coverage area, and scalability. Therefore, the LTE schedulers should satisfy the need for M2M communication.Motivated from these facts, in this paper, we present a survey on classification of LTE / LTE-A scheduling methodologies from the perspective of M2M communication. We classify the schedulers based on their objectives, such as energy efficiency, spectrum efficiency, group-based, and Quality-of-Service (QoS) support for Machine Type Communication Devices (MTCDs). We also highlight the scope of future research direction for the scheduling work.

show abstract

Section: ) Throughput and Spectral Efficient Techniquesmentioning

confidence: 99%

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In order to avoid any issues, the present research work towards schedulers are designed to be functional in two process i.e. scheduling packet using time domain first and then execute frequency domain [10][11][12][13][14][15][16][17][18][19][20]. There also existing certain research work that uses multiple-input multiple-output as a scheme to design scheduler for LTE networks [21][22].…”

Section: Introductionmentioning

confidence: 99%

A Research Survey on Scheduling Techniques in lte-based Network and its State of Art

A.R

2018

APTIKOM Journal Comput. Sci. Inf. Technol.

View full text Add to dashboard Cite

The growing interest over the mobile based communication has attracted the Long-Term Evolution (LTE) technique which facilitates higher data transmission rates to its dynamic users. The LTE-based network involves with scheduling which governs the better communication at different traffic (large, small, medium) condition. The LTE caters up network demands and encounters some potential and unreported problems in presence of large traffic with uncertainty of its associated load. Thus, scheduling becomes most essential is must. This manuscript reviews the recent existing researches with their contribution along with significances and limitations. The paper also contributes in identify the state of art in research issues to identify the research gap towards scheduling techniques in LTE

show abstract

Genetic Algorithms for Solving Shortest Path Problem in Maze-Type Network with Precedence Constraints

Kim

2018

Wireless Pers Commun

View full text Add to dashboard Cite

Applying Genetic Algorithms to the Data Traffic Scheduling and Performance Analysis of a Long-Term Evolution System

Cited by 3 publications

References 11 publications

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

A Survey on LTE/LTE-A Radio Resource Allocation Techniques for Machine-to-Machine Communication for B5G Networks

A Research Survey on Scheduling Techniques in lte-based Network and its State of Art

Genetic Algorithms for Solving Shortest Path Problem in Maze-Type Network with Precedence Constraints

Contact Info

Product

Resources

About