Content-aware packet scheduling strategy for medical ultrasound videos over LTE wireless networks

Nasralla, Moustafa M.; Razaak, Manzoor; Rehman, Ikram Ur; Martini, Maria G.

doi:10.1016/j.comnet.2018.05.014

Cited by 15 publications

(9 citation statements)

References 36 publications

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“…Following recommendations in recent studies [1], [10], radio resource management and packet scheduling solutions for QoS-based scheduling strategies can be categorized into two broad groups: QoS-aware strategies and QoS-unaware strategies. As illustrated in the proposed taxonomy in Figure 2, the QoS-aware strategy category is divided into four classes and the QoS-unaware strategy category consists of three main scheduling rules, namely, the PF, round robin, and max-rate rules.…”

Section: Qos-aware and Qos-unaware Downlink Scheduling Strategiesmentioning

confidence: 99%

A Hybrid Downlink Scheduling Approach for Multi-Traffic Classes in LTE Wireless Systems

Nasralla

2020

IEEE Access

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The developments in wireless technology and applications in recent years have increased the interest in downlink scheduling and resource allocations among researchers. Moreover, fair scheduling and balanced Quality of Service (QoS) delivery for various forms of traffic are needed for Long-Term Evolution (LTE) wireless systems. This paper proposes hybrid QoS-aware downlink scheduling approaches that aim to address different traffic classes and balance the QoS delivery with improvements to the overall system performance under channel and bandwidth constraints. Moreover, this research introduces a taxonomy that classifies the scheduling algorithms into four main classes: delay aware, queue aware, target bit-rate aware and hybrid aware. The latter class is the scheduling class that is proposed in this paper; it considers channel, queue and delay parameters in its scheduling metric. Using simulations, we compare and analyze different downlink scheduling rules for their network-centric performance metrics, e.g., average packet loss ratio, average throughput, average packet delay, system fairness, and system spectral efficiency. The simulation results show that the queue-aware and delay-aware scheduling rules deliver the best QoS performance for video traffic classes, whereas our proposed hybrid scheduling rules deliver balanced QoS for various types of traffic classes. Employing QoS balancing scheduling rules in an LTE downlink is suggested to provide high QoS delivery for different traffic classes.INDEX TERMS Packet scheduling algorithms, resource allocation, long term evolution, quality of service, real-time, non-real time.

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Section: Qos-aware and Qos-unaware Downlink Scheduling Strategiesmentioning

confidence: 99%

A Hybrid Downlink Scheduling Approach for Multi-Traffic Classes in LTE Wireless Systems

Nasralla

2020

IEEE Access

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“…Over the years, various packet scheduling algorithms have been developed to support real time (RT) and non-real time (NRT) services, comprising the most commonly used ones, namely: proportional fair (PF), modified largest weighted delay first (M-LWDF) and exponential-PF (EXP-PF) schedulers [2,3]. In the aforementioned schedulers, each flow is assigned a priority value and the radio bearer which carries the flow with the highest priority value will be scheduled first at the corresponding transmission time interval (TTI).…”

Section: Related Workmentioning

confidence: 99%

“…when the proposed scheduling schemes were compared with the content-blind scheduling schemes in the presence of network congestion. Hence, it was established that the video content should be given utmost importance after QoS, when determining the quality of video sequences [3]. However, the proposed content-aware schedulers did not explicitly consider channel conditions in its allocation process.…”

Section: Related Workmentioning

confidence: 99%

“…In multi-user video transmission, this introduces a type of multi-user content diversity that can be exploited by content-aware scheduling policies in optimising the utilisation of the network resources. Examples of content-aware methods and current SVC studies are found in [2][3][4][5][6][7][8][9]. Unlike state-of-the-art content aware strategies, the proposed scheduling rule considers SVC layer priority index.…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems

et al. 2020

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The recent advancements of wireless technology and applications make downlink scheduling and resource allocations an important research topic. In this paper, we consider the problem of downlink scheduling for multi-user scalable video streaming over orthogonal frequency division multiple access (OFDMA) channels. The video streams are precoded using a scalable video coding (SVC) scheme. We propose a fuzzy logic-based scheduling algorithm, which prioritises the transmission to different users by considering video content, and channel conditions. Furthermore, a novel analytical model and a new performance metric have been developed for the performance analysis of the proposed scheduling algorithm. The obtained results show that the proposed algorithm outperforms the content-blind/channel aware scheduling algorithms with a gain of as much as 19% in terms of the number of supported users. The proposed algorithm allows for a fairer allocation of resources among users across the entire sector coverage, allowing for the enhancement of video quality at edges of the cell while minimising the degradation of users closer to the base station.

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“…The scheduling module in [9] combines traffic amount, channel condition, with user level that achieves a good trade-off between performance and operator's revenue. In [10], the authors take video contents and its features into account in the process of packet scheduling. In [11], the authors design the scheduling priority according to the data importance for the Machine to Machine (M2M) communication in long term evolution (LTE) networks.…”

Section: Introductionmentioning

confidence: 99%

A Novel Scheduling Algorithm to Improve Average User Perceived Throughput for LTE Systems

Fang

Liang

2019

IEEE Access

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In recent years, the network operators have paid more attention to user experience. The design of scheduling algorithm is a great challenge in long term evolution (LTE) system to improve the overall system Quality of Experience (QoE). Many papers have been developed to solve the scheduling problem for the full buffer traffic. In this paper, a new scheduling algorithm named percent proportional fair (PPF) is proposed for the reality burst traffic. To evaluate the user experience, we introduce two measure indicators, average user perceived throughput (UPT) and user perceived throughput-cut (UPT-cut). In order to improve the average UPT with fairness guarantee, we design the scheduling priority by considering the ratio of the amount of transmitted data to the total amount of burst data. At the same time, an allocation matrix is introduced so as to avoid bandwidth waste. Finally, comparing the PPF scheduler with the classical proportional fair (PF) scheduler and fair allocation high throughput (FAHT) scheduler, the simulation results show the improvement of average UPT while ensuring fairness among the users. Besides, the performance of PPF scheduling is analyzed in various system scenarios. INDEX TERMS Quality of Experience, LTE systems, percent proportional fair, user perceived throughput, scheduling priority.

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Content-aware packet scheduling strategy for medical ultrasound videos over LTE wireless networks

Cited by 15 publications

References 36 publications

A Hybrid Downlink Scheduling Approach for Multi-Traffic Classes in LTE Wireless Systems

A Hybrid Downlink Scheduling Approach for Multi-Traffic Classes in LTE Wireless Systems

An Intelligent Fuzzy Logic-Based Content and Channel Aware Downlink Scheduler for Scalable Video over OFDMA Wireless Systems

A Novel Scheduling Algorithm to Improve Average User Perceived Throughput for LTE Systems

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