A capacity and minimum guarantee-based service class-oriented scheduler for LTE networks

Salman, A.J.; Zeeshan, Muhammad; Anjum, Naveed

doi:10.1186/1687-1499-2013-67

Cited by 16 publications

(44 citation statements)

References 20 publications

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“…Based on some indirect measures, the EXP rule scheduler is found to have improvements in delay, fairness measures, and throughput [37,38]. In [11], it was stated that this scheme prioritizes real-time traffic with regard to non-real-time traffic.…”

Section: Proposed Methodologymentioning

confidence: 99%

A performance analysis on packet scheduling schemes based on an exponential rule for real-time traffic in LTE

Ang

Wee

Pang

et al. 2015

J Wireless Com Network

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Long-Term Evolution (LTE) was implemented to fulfill and satisfy users' needs as well as their demands for an improvised, fast and efficient Quality of service (QoS). A minimal aggregate of waiting time in return would give users a better Quality of experience (QoE). Real-time service packet scheduling is an important process in allocating resources to users. An efficient packet scheduling scheme will be able to cater fairly and efficiently to its users in the LTE network. Hence, studies are performed focusing on real-time traffic which includes video as well as Voice over Internet Protocol (VoIP) transmissions. In this work, the existing exponential rule (EXP rule) is utilized to benchmark our proposed packet scheduling techniques so that we are able to further evaluate the scheduling performance. In response to the increasing likelihood of losing packets in the EXP rule's algorithm and maximizing the throughput rate, several schemes have been experimented with. The proposed schemes include 1) simplified EXP rule (sEXP Rule), 2) modified EXP rule (mEXP Rule), 3) EXP rule with maximum throughput (MT) (EXP_MT Rule), and 4) enhanced EXP rule with MT (E2M). By adding MT as a weight to the EXP rule, the throughput is maximized, thus providing higher throughput rates for real-time and non-real-time traffic. The simulation results show that the sEXP rule has a better performance in throughput, packet loss rate (PLR), and spectral efficiency for video traffic. Aside from this, our proposed E2M rule performs better than the benchmark EXP rule and outperforms the other proposed schemes, as well. It is observed that the E2M rule has better QoS support for real-time transmission in terms of delay, packet loss, throughput and spectral efficiency, within the LTE network. Hence, our proposed E2M rule is an enhancement of the benchmark EXP rule, which is commonly used in LTE packet scheduling.

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Section: Proposed Methodologymentioning

confidence: 99%

A performance analysis on packet scheduling schemes based on an exponential rule for real-time traffic in LTE

Ang

Wee

Pang

et al. 2015

J Wireless Com Network

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“…Second stage is to allocate the resource blocks for frequency domain scheduling. Some packet scheduling mechanisms have been proposed and analyzed [4][5][6][7]. For instance, the PF, a representative packet scheduling mechanism, focused on fairness instead of QoS [4].…”

Section: Related Workmentioning

confidence: 99%

“…For instance, the PF, a representative packet scheduling mechanism, focused on fairness instead of QoS [4]. In [5], the scheduling mechanism analyzed and arranged the resource blocks to improve the transmission quantity of non-instant packets. The DPS scheduling mechanism [6] considered the remaining transmission time to determine the sequence of packet transmissions, and the resource was allocated in accordance with the transmission efficiency.…”

Section: Related Workmentioning

confidence: 99%

A LTE downlink scheduling mechanism with the prediction of packet delay

Lai

Hsu

Kuo

et al. 2015

2015 Seventh International Conference on Ubiquitous and Future Networks

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The growing demand of real-time services, such as video streaming and VoIP with high constraints on delays and bandwidth brings new challenges in the design of wireless communication system. So how to use radio resource efficiently becomes an important point for the LTE system. In our paper, we propose a new LTE downlink packet scheduler, which adopts the packet delay to prioritize packet transmissions and uses packet prediction mechanism to solve the burst transmission situation. We also use the channel quality indicator that users report to the eNodeB to classify users' mobility, and then we utilize different resource allocation schemes for uses with different mobility in every transmission time interval. The simulations are conducted by LTE-Sim R5 to analyze the performance of proposed method. And the simulation results show that the proposed method outperforms other packet scheduling schemes in terms of goodput, packet delays, and packet loss rates. Our proposed method can improve the spectrum efficiency and satisfy the QoS requirements of real-time traffic.

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“…Scheduling rules designed for delaysensitive traffic, such as in [24,25] (see the time utility functions of different traffic classes), give low scheduling priority to the best-effort flows. High priority differentiation between the delay-sensitive and best-effort flows causes resource starvation for the best-effort flows [26,27]. In FCS scheduling framework, inter-class traffic priority differentiation is provided by output fuzzy set.…”

Section: Dynamic Resource Controllermentioning

confidence: 99%

QoS-aware composite scheduling using fuzzy proactive and reactive controllers

Khan

Martini

Staehle

2014

J Wireless Com Network

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We consider in this paper downlink scheduling for different traffic classes at the MAC layer of wireless systems based on orthogonal frequency division multiple access (OFDMA), such as the recent 3rd Generation Partnership Project (3GPP) long-term evolution (LTE)/LTE-A wireless standard. Our goal is to provide via the scheduling decisions quality of service (QoS), but also to guarantee fairness among the different users and traffic classes (including delay-sensitive and best-effort traffic). QoS-aware scheduling strategies, such as modified largest weighted delay first (M-LWDF), exponential (EXP), exponential proportional fair (EXP-PF), and the log-based scheduling rules, prioritize delay-sensitive traffic by considering rules based on the head-of-line (HoL) packet delay and the tolerated packet loss rate, whereas they serve best-effort traffic by considering the classical proportional fair (PF) rule. These scheduling rules do not prevent resource starvation for best-effort traffic. On the other side, if both traffic types are scheduled according to the PF rule, then delay-sensitive flows suffer from delay bound violations. In order to fairly distribute the resources among different service classes according to their QoS requirements and channel conditions, we employ the concept of fuzzy logic in our scheduling framework. By employing the fuzzy logic concept, we serve all the traffic classes with one priority rule. Simulation results show better intra-class and inter-class fairness than state-of-the-art scheduling rules. The proposed scheduling framework enables to appropriately balance delay requirements of traffic, system throughput, and fairness.

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A capacity and minimum guarantee-based service class-oriented scheduler for LTE networks

Cited by 16 publications

References 20 publications

A performance analysis on packet scheduling schemes based on an exponential rule for real-time traffic in LTE

A performance analysis on packet scheduling schemes based on an exponential rule for real-time traffic in LTE

A LTE downlink scheduling mechanism with the prediction of packet delay

QoS-aware composite scheduling using fuzzy proactive and reactive controllers

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