QoS downlink schedulers in LTE towards 5G network

Al-Sakkaf, Ahmed Gaafar; Khan, Sheroz; Abdullah, Khaizuran

doi:10.1109/micc.2015.7725438

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…The difference between the throughput and the goodput is in the bits successfully delivered, where goodput does not consider the control bits of the header or the retransmitted packets [62]. We note that lost packets are not counted in both goodput and throughput [63]. According to [64], the goodput is expressed by (5):…”

Section: ) Throughputmentioning

confidence: 99%

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Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey

et al. 2022

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Over the years, several research groups have been developing effective and efficient scheduling algorithms to enhance the quality of service of mobile communication networks. The arrival of the fifth generation of mobile networks (5G) has shown the importance of advanced scheduling techniques to manage the limited frequency spectrum available while achieving 5G transmission requirements. This issue was picked up extensively within the research community due to the increasing demand for mobile communications and the desire for a fully connected world. Consequently, the scientific community has developed novel approaches and varied scheduling schemes to meet the needs of various applications and scenario conditions. In this context, this paper presents an overview of the state-of-the-art methods, highlights seminal and innovative research, and investigates the current state of 5G radio resource management. This review of literature compares emerging strategy methods based on their metrics, analyzes their performances, and emphasizes the existing works with a vision for the future of modern 5G and upcoming networks in terms of radio resource allocation to provide a thorough introspection of the literature. Furthermore, gaining a better understanding of the radio resource management state-of-the-art would provide valuable information for future work and might be helpful for new researchers in the field.

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Section: ) Throughputmentioning

confidence: 99%

“…Due to the limited radio resources, efficient spectrum usage is necessary to enhance the QoS. The spectral efficiency metric calculates the ratio of the average data rate to the bandwidth (bits per second per Hertz) via the expression in (7) to evaluate the efficacy of the network to manage the radio resources [63], [69].…”

Section: ) Spectral Efficiencymentioning

confidence: 99%

Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey

et al. 2022

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“…Long Term Evolution (LTE) is recommended as a mobile technology since it counters the growing demand for diverse data streaming services and backs an extensive gamut of multimedia and online services, such as Internet TV, file sharing, web browsing, VoIP, wireless sensors, and video streaming, even in high mobility scenarios [1]. LTE has been designed considering downlink transfer technology based on Orthogonal Frequency Division Multiple Access (OFDMA) [2] and by employing different Radio Resource Management (RRM) procedures, with the objective of achieving large bandwidths and higher-level modulation (up to 64QAM), as well as spatial multiplexing, which can be obtained when there is a high downlink data rate in order to support higher spectral efficiency, reductions in packet delay and Packet Loss Ratio (PLR), and high data rates, compared with previous 3G networks [1,3]; moreover, it is plausible that it is swiftly moving towards 5G wireless technology [4,5].…”

Section: Introductionmentioning

confidence: 99%

QoS-Aware Scheduling Algorithm Enabling Video Services in LTE Networks

2022

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The Long-Term Evolution (LTE) system was a result of the 3rd-Generation Partnership Project (3GPP) to assure Quality-of-Service (QoS) performance pertaining to non-real-time and real-time services. An effective design with regards to resource allocation scheduling involves core challenges to realising a satisfactory service in an LTE system, particularly with the growing demand for network applications. The continuous rise in terms of the number of network users has resulted in impacts on the performance of networks, which also creates resource allocation issues when performing downlink scheduling in an LTE network. This research paper puts forward a review of optimisation pertaining packet scheduling performance through the LTE downlink system by introducing a new downlink-scheduling algorithm for serving video application through LTE culler networks, and also accounts for QoS needs and channel conditions. A comparison of the recommended algorithms’ performances was made with regards to delay, throughput, PLR, and fairness by utilising the LTE-SIM simulator for video flow. On the basis of the outcomes obtained, the algorithms recommended in this research work considerably enhance the efficacy of video streaming compared against familiar LTE algorithms.

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