A Fair Downlink Scheduling Algorithm for 3GPP LTE Networks

Chadchan, S. M.; Akki, C. B.

doi:10.5815/ijcnis.2013.06.05

Cited by 23 publications

(13 citation statements)

References 22 publications

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“…To achieve scheduling performance targets, the algorithm must be implemented at the enodeB located at the MAC layer [8]. The enodeB allocates a portion of network bandwidth to be shared among users using many approaches.…”

Section: Related Workmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Related Workmentioning

confidence: 99%

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

et al. 2019

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“…3G mobile network is the standard of mobile networks that use the Universal Mobile Telecommunications System (UMTS) or the International Mobile Telecommunications 2000 ( IMT-2000) that was issued by the International Telecommunication Union (ITU) and Third Generation Partnership Project (3GPP) in 2001. The motivation for 3G evolution came from the growing demand for network services such as VoIP, web browsing, video telephony, and video streaming, with constraints on delays and bandwidth requirements [9]. Namely, it is the third generation of mobile networks that can support important features beyond 2G mobile network as shown in Fig.…”

Section: A Current Mobile Network In Thailand: 3gmentioning

confidence: 99%

Quality Evaluation of Mobile Networks Using VoIP Applications: A Case Study with Skype and LINE based-on Stationary Tests in Bangkok

Wuttidittachotti

Daengsi²

2015

IJCNIS

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This paper presents the performance evaluation of 3G mobile networks for one kind of multimedia application called Voice over IP (VoIP) within Bangkok, the capital city of Thailand, using Line and Skype, two popular VoIP applications. This study used evaluation of voice quality provided by both applications. The tests have been conducted using stationary scenarios over 5 major 3G mobile networks, served by 5 operators, within 14 universities in the inner city of Bangkok in order to gather data of degraded speech files. Then, the data was measured using Perceptual Evaluation of Speech Quality (PESQ) to find Mean Opinion Score (MOS) before analyzing with ANOVA and T-test, which are statistical tools, so that the discussion and conclusion can be eventually derived.

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“…The PF scheduling algorithm [16] provides a good trade-off between system throughput and fairness by selecting the user. For this algorithm, the metric is given by: (1) Where is the rate corresponding to the mean fading level of user i and : is the state of the channel of user i at time t.…”

Section: Proportional Fair (Pf)mentioning

confidence: 99%

Performance Analysis of Resource Scheduling in LTE Femtocells Networks

Dardouri¹,

Bouallègue²

2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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3GPP has introduced LTE Femtocells to manipulate the traffic for indoor users and to minimize the charge on the Macro cells. A key mechanism in the LTE traffic handling is the packet scheduler which is in charge of allocating resources to active flows in both the frequency and time dimension. So several scheduling algorithms need to be analyzed for femtocells networks. In this paper we introduce a performance analysis of three distinct scheduling algorithms of mixed type of traffic flows in LTE femtocells networks. The particularly study is evaluated in terms of throughput, packet loss ratio, fairness index and spectral efficiency.

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A Fair Downlink Scheduling Algorithm for 3GPP LTE Networks

Cited by 23 publications

References 22 publications

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

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

Quality Evaluation of Mobile Networks Using VoIP Applications: A Case Study with Skype and LINE based-on Stationary Tests in Bangkok

Performance Analysis of Resource Scheduling in LTE Femtocells Networks

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