Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

Mahdi, Hussain Falih; Al-Bander, Baidaa; Alwan, Mohammed Hasan; Abood, Mohammed Salah; Hamdi, Mustafa Maad

doi:10.3991/ijim.v15i21.22475

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…For example, in [30] a radio resource allocation using a genetic algorithm (GA) in heterogeneous networks is proposed to optimize user association and resource block allocation and realize multi-QoS objectives. Some resource allocation solutions are especially designed for vehicular scenarios, for example [32], where interference level of neighboring vehicles is counted in the scheduling function.…”

Section: Related Workmentioning

confidence: 99%

Delay-Oriented Resource Allocation for OFDMA Real-Time Mobile Broadband Services

Madi¹,

Najim²

2023

Int. J. Interact. Mob. Technol.

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Radio Resource Management (RRM) is the key component that influences the Quality of Service (QoS) in emerging mobile systems. The harsh requirements of recent multimedia applications press on the behavior of the resource allocation model at the Medium Access Control (MAC). This, under certain conditions, deteriorates awareness of the scheduler in satisfying QoS characteristics for the diverse attending traffic flows. The trade-off between QoS metrics may be a viable remedy to this problem. However, if the tradeoff is not meticulously addressed, it definitely increases the delay beyond the allowed threshold and plummets the data rates of the involved flows. In this article, a Delay-oriented Resource Allocation (DoRA) scheduler is proposed for the downlink channel to transmit multimedia applications. The main aim of DoRA is to schedule flows of different volumes with guaranteed low delay values and acceptable throughput under harsh network conditions (i.e., high traffic load and mobility). An efficient priority weight function is formulated based on a delay-oriented rule considering the buffer delay of the diverse flows. Eventually, a greedy algorithm assigns channel resources to the prioritized flows with high weights. DoRA is compared to reference schedulers using system-level simulation over two scenarios. The performance results indicate that DoRA maintains a low end-to-end delay with robust throughput and efficient spectrum efficiency for different flow volumes over congested network states.

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Section: Related Workmentioning

confidence: 99%

Delay-Oriented Resource Allocation for OFDMA Real-Time Mobile Broadband Services

Madi¹,

Najim²

2023

Int. J. Interact. Mob. Technol.

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“…The network coverage area is 2000 * 2000 meters. For peer-to-peer data, transmission vehicles create constant bit rate (CBR) traffic as [26][27][28]. The simulation parameters are shown in Table 1.…”

Section: Gateway Selectionmentioning

confidence: 99%

Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance

Abbas¹,

Mansour²,

Al-Fatlawi

2022

Int. J. Interact. Mob. Technol.

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Vehicular ad hoc networks (VANETs) are mainly used in the intelligent transportation field for smart applications. VANETS received maximum concentration among the researchers in academic research. Providing traffic safety at the time of high mobility in the network is the major issue. Also, it consists of few general issues namely self-organization, link failure and speedy variation in topology. In order to address this issue, we developed a novel approach namely, Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) approach which is designed to reduce the delay and energy consumption in the VANETs that leads to increase the efficiency and overall Quality of Service (QoS) of the network. This approach is composed into four parts (1) network construction, (2) prime cluster head selection, (3) dynamic prime CH selection and (4) gateway creation. Network simulator is utilized to demonstrate the behavior of our SA-EDMC approach. The simulation evaluation exhibits that our proposed work achieved high packet delivery ratio, low delay and high throughput when compared with earlier research outputs like MCA-V2I and QMM-VANET. The comparative analysis expressed that performance of the proposed SA-EDMC is ~5% increase in packet delivery ratio, produced 300 to 500 kbps extra throughput compared with the earlier methods and delay is comparatively low.

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“…Ref. [37] developed an enhanced best-CQI scheduling technique to increase the network's throughput. To test the proposed algorithm's throughput performance, they compared it to three user scheduling algorithms.…”

Section: Related Workmentioning

confidence: 99%

Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks

Taha¹,

Hacı²,

Serener³

2022

Electronics

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Downlink schedulers play a vital part in the current and next-generation wireless networks. The next generation downlink scheduler should satisfy the demand for different requirements, such as dealing with ultra-dense networks and the need to run real-time (RT) and non-real-time (nRT) applications, with a high quality of service (QoS). Many researchers have developed various schedulers for these, but none have introduced one scheduler to target them all. This paper introduces a novel channel/QoS aware downlink scheduler algorithm, called Advanced Fair Throughput Optimized Scheduler (AFTOS), for ultra-dense networks. AFTOS is a multi-QoS scheduler that aims to maximize system spectrum efficiency and user throughput with enhanced fairness, delay, and packet loss ratio (PLR). It is capable of handling RT and nRT traffic. We developed two new policies, called Adjusted Largest Weighted Delay First (ALWDF) and Fair Throughput Optimized Scheduler (FTOS), for RT and nRT traffic. Then, we joint them to introduce our novel downlink scheduler Advanced Fair Throughput Optimized Scheduler (AFTOS). For evaluating the suggested algorithm, we undertook experiments to decide the ideal parameter value for the proposed approaches and compared the proposed solution to current best practices. The findings prove that the AFTOS algorithm can achieve its objectives, outperforming the alternative techniques.

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Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle

Cited by 10 publications

References 28 publications

Delay-Oriented Resource Allocation for OFDMA Real-Time Mobile Broadband Services

Delay-Oriented Resource Allocation for OFDMA Real-Time Mobile Broadband Services

Self-Adaptive Efficient Dynamic Multi-Hop Clustering (SA-EDMC) Approach for Improving VANET’s Performance

Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks

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