Content-aware downlink scheduling for LTE wireless systems: A survey and performance comparison of key approaches

Nasralla, Moustafa M.; Khan, Nabeel; Martini, Maria G.

doi:10.1016/j.comcom.2018.08.009

Cited by 26 publications

(32 citation statements)

References 106 publications

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“…These schedulers are available in LTE-SIM. According to [38], [39], [43], [44], they are chan-nel sensitive, i.e., UE intermittently forwards a CQI report to the HeNB. This CQI report presents the channel quality experienced by each UE and estimated by the scheduler.…”

Section: B Packet Schedulersmentioning

confidence: 99%

“…This type of approach is the most suitable for the considered video application. In terms of quality service, PF is a scheduler with an approach unaware of the service type [43], [44].…”

Section: B Packet Schedulersmentioning

confidence: 99%

“…This work is in some way complementary to other simulation works, such as [4], [43], [44], since it presents a higher number of deployed HeNBs and a path loss model that considers and counts the number of walls between users and HeNBs. For simulation purposes, although fewer schedulers are considered for the simulation than in [43] and changes to existing schedulers are not considered as in [44], in this work, an in-depth determination of the variation in the number of supported users in saturation conditions, as a function of the apartment side length and the transmitter power is carried out with narrower confidence intervals.…”

Section: Introductionmentioning

confidence: 96%

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An Extensive Study on the Performance Evaluation and Scheduling of HeNBs

Paulo

Velez

2021

IEEE Access

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Since the dawn of mobile communication systems, reducing the cell size has been one option to increase the signal-to-interference-plus-noise ratio (SINR) in both links. The impact of this reduction can be perfectly understood by considering Shannon's law. This work studies in detail the performance of Home eNBs (HeNBs), nodes with a smaller coverage area. After a detailed theoretical study of the SINR, a simulation approach is used to extract performance results in small cell indoor scenarios. Results corresponding to the goodput, delay and packet loss ratio are analyzed. Based on an improved version of LTE-Sim, the proportional fair, frame level scheduler (FLS) and exponential rule are tested in an indoor environment. With the saturation conditions taken into consideration, the FLS performs better than the other schedulers. This work shows that with the considered applications, it is possible to achieve a reduction in the transmitter power of HeNBs without compromising the small cell network performance.

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Section: B Packet Schedulersmentioning

confidence: 99%

“…This type of approach is the most suitable for the considered video application. In terms of quality service, PF is a scheduler with an approach unaware of the service type [43], [44].…”

Section: B Packet Schedulersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

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An Extensive Study on the Performance Evaluation and Scheduling of HeNBs

Paulo

Velez

2021

IEEE Access

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“…The 3GPP specification defines that the downlink and uplink traffic are to be avoided by utilizing time division duplexing (TDD) and frequency division duplexing (FDD) [9]. However, multimedia applications strongly dominate LTE networks and may vary from live interaction and video conferencing to television.…”

Section: Introductionmentioning

confidence: 99%

ITFDS: Channel-Aware Integrated Time and Frequency-Based Downlink LTE Scheduling in MANET

Tuấn

Sơn

Long

et al. 2020

Sensors

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One of the crucial problems in Industry 4.0 is how to strengthen the performance of mobile communication within mobile ad-hoc networks (MANETs) and mobile computational grids (MCGs). In communication, Industry 4.0 needs dynamic network connectivity with higher amounts of speed and bandwidth. In order to support multiple users for video calling or conferencing with high-speed transmission rates and low packet loss, 4G technology was introduced by the 3G Partnership Program (3GPP). 4G LTE is a type of 4G technology in which LTE stands for Long Term Evolution, followed to achieve 4G speeds. 4G LTE supports multiple users for downlink with higher-order modulation up to 64 quadrature amplitude modulation (QAM). With wide coverage, high reliability and large capacity, LTE networks are widely used in Industry 4.0. However, there are many kinds of equipment with different quality of service (QoS) requirements. In the existing LTE scheduling methods, the scheduler in frequency domain packet scheduling exploits the spatial, frequency, and multi-user diversity to achieve larger MIMO for the required QoS level. On the contrary, time-frequency LTE scheduling pays attention to temporal and utility fairness. It is desirable to have a new solution that combines both the time and frequency domains for real-time applications with fairness among users. In this paper, we propose a channel-aware Integrated Time and Frequency-based Downlink LTE Scheduling (ITFDS) algorithm, which is suitable for both real-time and non-real-time applications. Firstly, it calculates the channel capacity and quality using the channel quality indicator (CQI). Additionally, data broadcasting is maintained by using the dynamic class-based establishment (DCE). In the time domain, we calculate the queue length before transmitting the next packets. In the frequency domain, we use the largest weight delay first (LWDF) scheduling algorithm to allocate resources to all users. All the allocations would be taken placed in the same transmission time interval (TTI). The new method is compared against the largest weighted delay first (LWDF), proportional fair (PF), maximum throughput (MT), and exponential/proportional fair (EXP/PF) methods. Experimental results show that the performance improves by around 12% compared with those other algorithms.

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“…For instance, one of the key scenarios is the multiple coordinated Unmanned aerial Vehicle (UAV) system, where reliability and diversity are achieved by observing the area of interest from multiple points of view. In such a scenario, estimating the data rate output by the vision sensors is critical for the design of the communication strategies, such as scheduling and radio resource allocation [23,24,25,26]. Dynamic vision sensors provide high-frequency updates, corresponding to 1000 frames/s, as compared to standard cameras, where the maximum achieved frame rate is 60 frames/s.…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Modeling of Silicon Retinas for Next Generation Visual Sensor Networks

Khan

Martini

2019

Sensors

Self Cite

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Silicon retinas, also known as Dynamic Vision Sensors (DVS) or event-based visual sensors, have shown great advantages in terms of low power consumption, low bandwidth, wide dynamic range and very high temporal resolution. Owing to such advantages as compared to conventional vision sensors, DVS devices are gaining more and more attention in various applications such as drone surveillance, robotics, high-speed motion photography, etc. The output of such sensors is a sequence of events rather than a series of frames as for classical cameras. Estimating the data rate of the stream of events associated with such sensors is needed for the appropriate design of transmission systems involving such sensors. In this work, we propose to consider information about the scene content and sensor speed to support such estimation, and we identify suitable metrics to quantify the complexity of the scene for this purpose. According to the results of this study, the event rate shows an exponential relationship with the metric associated with the complexity of the scene and linear relationships with the speed of the sensor. Based on these results, we propose a two-parameter model for the dependency of the event rate on scene complexity and sensor speed. The model achieves a prediction accuracy of approximately 88.4% for the outdoor environment along with the overall prediction performance of approximately 84%.

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Content-aware downlink scheduling for LTE wireless systems: A survey and performance comparison of key approaches

Cited by 26 publications

References 106 publications

An Extensive Study on the Performance Evaluation and Scheduling of HeNBs

An Extensive Study on the Performance Evaluation and Scheduling of HeNBs

ITFDS: Channel-Aware Integrated Time and Frequency-Based Downlink LTE Scheduling in MANET

Bandwidth Modeling of Silicon Retinas for Next Generation Visual Sensor Networks

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