A Dynamic PF Scheduler to Improve the Cell Edge Performance

Xu, Nuo; Guillaume, V.; Zhou, Wen; Qiang, Yongquan

doi:10.1109/vetecf.2008.392

Cited by 10 publications

(3 citation statements)

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“…In [17], the authors discussed the effect of blockage probability in mmWave network on the performance of the SPF scheme and compared it with the RR scheme performance in terms of UE data rates and fairness. The authors in [18][19][20][21][22] modified the priority function exponential parameters to make the SPF scheme more generalized, hence improving throughput and fairness in different communication systems, depending on the case. Although these algorithms can obtain promising results, if they are adapted in 5G and beyond networks, all of them neglect UE demands in their procedures.…”

Section: Related Workmentioning

confidence: 99%

“…GPF scheduling schemes try to improve SPF performance by modifying the UE priority function using two parameters α and β, which are the exponential weights of the current data rate and the previous average data rate, respectively. Hence, these algorithms redefine the UE priority function in (1) to a more generalized form as [18][19][20][21][22]:…”

Section: Scheduling Schemes In 5g Networkmentioning

confidence: 99%

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Quality of Service Based Radio Resources Scheduling for 5G eMBB Use Case

Nor

Halunga

2022

Symmetry

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Several use cases appear with 5G and beyond networks such as enhanced mobile broadband (eMBB), where ultra-high data rates and low-latency connections become essential demands for asymmetric services, e.g., 8K video streaming and virtual reality (VR). The millimeter-wave (mmWave) band can be a promising player to handle these applications under the condition of efficient implementation of radio resource management (RRM) schemes, which distribute resources among user equipment (UEs) in the network. Firstly, mmWave UE channels are highly affected by the distance between the access point (AP) and UEs. Secondly, static and dynamic obstacles can easily block the AP-UE line-of-sight (LOS) link; hence, it highly attenuates mmWave signals. Moreover, eMBB applications lack symmetry in their data rate requirements, from 75 Mbps up to 300 Mbps; consequently, UE quality of service (QoS) should be considered in designing RRM schemes. In this paper, we study possible scheduling schemes that can be implemented for the 5G eMBB use case. Moreover, we propose a new demand-based proportional fairness (DPF) scheduling algorithm that first depends on both UE channel conditions and quality-of-service demands, then, if certain UEs reach the requirement, the algorithm prioritizes it only based on their channel quality. Furthermore, in this work, we consider a real model to simulate the effect of blockage occurrence on the performance of scheduling schemes. Results prove that the proposed DPF scheduling scheme outperforms conventional algorithms in terms of UE satisfaction while maintaining high total system throughput and fairness among UEs. For example, assuming blockage occurrence with 16 and 32 UEs, it guarantees satisfaction for more than 99% and 60% of UEs and, at the same time, obtains 3.29 and 4.24 Gbps system throughput and maintains fairness between UEs at 0.99 and 0.82, respectively. In contrast, conventional proportional fairness highly degrades satisfaction to only 74% and 30% to achieve total throughput equal to 3.1 and 4.3 Gbps, respectively.

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Section: Related Workmentioning

confidence: 99%

Section: Scheduling Schemes In 5g Networkmentioning

confidence: 99%

Quality of Service Based Radio Resources Scheduling for 5G eMBB Use Case

Nor

Halunga

2022

Symmetry

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“…They also proposed some schemes to improve the performance of cell-edge UEs. Xu et al [16] provide an approach to set the exponent β less than 1 when the UEs are in cell-edge condition. It improves the priority of cell-edge UEs.…”

Section: Review Of Spf Scheduling Techniquesmentioning

confidence: 99%

Recent Results on Proportional Fair Scheduling for mmWave-based Industrial Wireless Networks

Aijaz

Beach

2020

Preprint

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Millimeter wave (mmWave) communication has recently attracted significant attention from both industrial and academic communities. The large bandwidth availability as well as low interference nature of mmWave spectrum is particularly attractive for industrial communication. However, inherent challenges such as coverage and blockage of mmWave communication cause highly fluctuated channel quality. This paper explores wireless medium access control (MAC) schedulers for mmWavebased industrial wireless applications. Our objective is to design a high-performance and enhanced fairness MAC scheduling algorithm that responds rapidly to channel variations. The key contribution of our work is a method to modify the standard proportional fair (SPF) scheduler. It introduces more flexibility and dynamic properties. Compared to the SPF, our enhanced proportional fair (EPF) scheduler not only improves the priority for users in poor channel conditions but also accelerates the reaction time in fluctuated channel conditions. By providing higher fairness for all users and enhancing system robustness, it particularly adapts to the scatter-rich industrial mmWave communication environment. Through extensive performance evaluation based on the widely accepted network simulator (ns-3), we show that the new scheduler achieves better performance in terms of delivering ultra-low latency and reliable services over mmWave-based industrial communication.

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