Mirroring LTE Scheduler Performance with an Adaptive Simulation Model

Trifan, Razvan-Florentin; Lerbour, Regis; Helloco, Yann Le

doi:10.1109/vtcspring.2015.7145931

Cited by 4 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Uniform Fractional Guard Channel (UFGC) scheme was also proposed by [15] to reduce NCBP. The UFGC scheme is a variant of the FGC scheme that reserves a non-integral number of resources for HCs.…”

Section: Bandwidth Reservation (Br) Schemesmentioning

confidence: 99%

Untitled

2019

IJCSES

View full text Add to dashboard Cite

The growing number of mobile users with diverse applications such as VoIP, video, internet surfing etc. has made LTE networks to adopt a CAC strategy in order to ensure the quality of service (QoS) requirements of these applications. Over the years, several CAC schemes have been proposed to either accept or reject service requests. This paper presents a survey of these schemes under four different classes. The classes are: Bandwidth Reservation (BR), Bandwidth Degradation (BD), BR and BD and Non-BR and Non-BD (NBR-NBD). In each of the classification, the operation procedure, strengths and weaknesses of each scheme has been discussed. Furthermore, a comparative analysis of these schemes is also presented. The analysis provides insight into the challenges in the design of CAC by highlighting open research issues for future directions.

show abstract

Section: Bandwidth Reservation (Br) Schemesmentioning

confidence: 99%

Untitled

2019

IJCSES

View full text Add to dashboard Cite

show abstract

Downlink scheduling algorithm over LTE networks using genetic algorithm

Mamman

2020

Advances in Materials and Processing Technologies

View full text Add to dashboard Cite

Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink

et al. 2019

View full text Add to dashboard Cite

The increasing demand for network applications, such as teleconferencing, multimedia messaging and mobile TV, which have diverse requirements, has resulted in the introduction of Long Term Evolution (LTE) by the Third Generation Partnership Project (3GPP). LTE networks implement resource allocation algorithms to distribute radio resource to satisfy the bandwidth and delay requirements of users. However, the scheduling algorithm problem of distributing radio resources to users is not well defined in the LTE standard and thus considerably affects transmission order. Furthermore, the existing radio resource algorithm suffers from performance degradation under prioritised conditions because of the minimum data rate used to determine the transmission order. In this work, a novel downlink resource allocation algorithm that uses quality of service (QoS) requirements and channel conditions to address performance degradation is proposed. The new algorithm is formulated as an optimisation problem where network resources are allocated according to users’ priority, whereas the scheduling algorithm decides on the basis of users’ channel status to satisfy the demands of QoS. Simulation is used to evaluate the performance of the proposed algorithm, and results demonstrate that it performs better than do all other algorithms according to the measured metrics.

show abstract

Mirroring LTE Scheduler Performance with an Adaptive Simulation Model

Cited by 4 publications

References 8 publications

Untitled

Untitled

Downlink scheduling algorithm over LTE networks using genetic algorithm

Quality of Service Class Identifier (QCI) radio resource allocation algorithm for LTE downlink

Contact Info

Product

Resources

About