QoS guaranteed radio resource scheduling in stand-alone unlicensed MulteFire

Sathya, Vanlin; Ramamurthy, Arun; Rochman, Muhammad Iqbal; Ghosh, Monisha

doi:10.1109/5gwf49715.2020.9221190

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…With that, a multi-service delay-based and QoS-aware scheduling scheme was proposed in the downlink MAC channel to maintain a minimum of the end-to-end delay under congested network scenarios. Furthermore, several efforts as in [18], [19], [29] introduced individual solutions that consider delay, transmission rate, and channel awareness in their scheduling decision. For example, the authors in [18] develop a delay-aware NFV radio resource allocation with deep reinforcement learning.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, the authors in [19] propose a QoS guaranteed radio source scheduling in stand-alone unlicensed MulteFire (MF). They concentrate on MF, which is an expansion to the LTE requirements that operates completely in the unlicensed band.…”

Section: Related Workmentioning

confidence: 99%

“…A bold observation on the current downlink resource allocation schemes in the literature, as surveyed by [11], indicated that the vast majority of the offered solutions distinguish the targeted problem as a single-dimension on a specific QoS criterion. For instance, throughput maximization (aiming the system capacity) as achieved in [12]- [15], delay minimization in [16]- [18], or fair service rate as in [19], [20] by evenly distributing the limited radio resources distributions over the different traffic classes. Nonetheless, the absence of multidimensional QoS provisioning guarantee in the competition among radio resource allocation schemes will be a futureproof solution for the eMBB use cases in 5G; in order to gracefully handle the diversity of applications interacted through the 5G user device.…”

Section: Introductionmentioning

confidence: 99%

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Delay-Based Resource Allocation With Fairness Guarantee and Minimal Loss for eMBB in 5G Heterogeneous Networks

2022

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Heterogeneity is defined as one of the core merits in the 5th Generation (5G) mobile systems. Such a trait is prominent in modern 5G traffic scenarios, i.e., enhanced Mobile Broadband (eMBB), where coarse Quality of Service (QoS) profiles need to be satisfied over the shared transmission channel. For that, Radio Resource Management (RRM) became a challenging problem that should be figured out based on the traffic scenario. Extensive efforts dwelled in the literature attempt to solve the resource allocation problem in the downlink channel by maximizing the gain for a certain aspect in the QoS profile. This, however, poses a challenge for 5G-related traffic scenarios such that multi-dimension QoS shall be attainable. Therefore, in this paper, a Delay-aware Resource Allocation for Guaranteed Fairness and minimal Loss (DRAGFL) is proposed to enhance the QoS for Real-Time (RT) services in eMBB 5G Heterogeneous Networks. The ultimate objective of DRAGFL is to maintain a steadily low latency for delay-sensitive flows without restraining the service fairness and the data loss in the overload states. DRAGFL enhances the efficiency of the MAC layer scheduler throughout three phases. Firstly, generating delay-derived weight matrix of the resources blocks to radio bearers from eMBB different classes. Then, greedy-based flows prioritization for Resource Blocks (RBs) assignment. Finally, the data rate of the RT and Non RT (NRT) flows is further emphasized through a channel-aware principle that is invoked conditioning to the remaining radio resources and available data to be scheduled in the interval. The performance evaluation using system-level simulations reveals prominent gains of DRAGFL in sustaining a steadily low end-to-end delay in the high congestion states. Moreover, it maintains ideal states of service fairness with low data loss for different traffic loads to indicate a promising MAC scheduler for the developing scenarios of 5G.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Delay-Based Resource Allocation With Fairness Guarantee and Minimal Loss for eMBB in 5G Heterogeneous Networks

2022

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“…For example, UE1 is getting served by the Macro BS, but it is receiving interference from small cells (i.e., Femtocells F1, F3). The traditional solution to avoid cross-tier interference is enhanced ICIC (eICIC) [21,22,59]. In the eICIC scheme, the interference between MBS and Femto BS (FBS) is avoided by muting some sub-frames (Almost Blank Sub-frame) in MBS during FBSs transmissions.…”

Section: Associated Challenges and Existing Solutions For Past And Pr...mentioning

confidence: 99%

Evolution of Small Cell from 4G to 6G: Past, Present, and Future

Sathya¹

2021

Preprint

Self Cite

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To boost the cellular system's capacity, the operator's have started to reuse the same licensed spectrum by deploying 4G LTE small cells (i.e., Femto Cells) in the past. But in time, these small cell licensed spectrum is not sufficient to satisfy future applications like augmented reality (AR) and virtual reality (VR). Hence, cellular operators look for alternate unlicensed spectrum in Wi-Fi 5 GHz band, later 3GPP named as LTE Licensed Assisted Access (LAA). The recent and current roll-out of LAA deployments (in developed nations like the US) provides an opportunity to understand coexistence's profound ground truth. This paper discusses a high-level overview of my past, present, and future research works in the direction of small cell benefits. In the future, we shift the focus onto the latest unlicensed band: 6 GHz, where the latest Wi-Fi version, 802.11ax, will coexist with the latest cellular technology, 5G New Radio (NR) in unlicensed.

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“…4). The enhanced ICIC (eICIC) approach is the conventional solution to the problem of cross-tier interference [23,24,61]. It mitigates the transmission conflicts between an MBS and a Femto BS by muting a few sub-frames (Almost Blank Sub-frame) in MBS when the Femto BS is transmitting.…”

Section: G Small Cell In Unlicensed Deploymentmentioning

confidence: 99%

Heterogenous Networks: From small cells to 5G NR-U

Sathya¹,

Kala²,

Narendran³

2021

Preprint

Self Cite

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With the exponential increase in mobile users, the mobile data demand has grown tremendously. To meet these demands, cellular operators are constantly innovating to enhance the capacity of cellular systems. Consequently, operators have been reusing the licensed spectrum "spatially," by deploying 4G/LTE small cells (e.g., Femto Cells) in the past. However, despite the use of small cells, licensed spectrum will be unable to meet the consistently rising data traffic because of data-intensive applications such as augmented reality/virtual reality (AR/VR) and on-the-go high-definition video streaming. Applications such AR/VR and online gaming not only place extreme data demands on the network, but are also latency-critical. To meet the QoS guarantees, cellular operators have begun leveraging the unlicensed spectrum by coexisting with Wi-Fi in the 5 GHz band. The standardizing body 3GPP, has prescribed cellular standards for fair unlicensed coexistence with Wi-Fi, namely LTE Licensed Assisted Access (LAA), New Radio in unlicensed (NR-U), and NR in Millimeter. The rapid roll-out of LAA deployments in developed nations like the US, offers an opportunity to study and analyze the performance of unlicensed coexistence networks through real-world ground truth. Thus, this paper presents a high-level overview of past, present, and future of the research in small cell and unlicensed coexistence communication technologies. It outlines the vision for future research work in the recently allocated unlicensed spectrum: The 6 GHz band, where the latest Wi-Fi standard, IEEE 802.11ax, will coexist with the latest cellular technology, 5G New Radio (NR) in unlicensed.

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QoS guaranteed radio resource scheduling in stand-alone unlicensed MulteFire

Cited by 6 publications

References 8 publications

Delay-Based Resource Allocation With Fairness Guarantee and Minimal Loss for eMBB in 5G Heterogeneous Networks

Delay-Based Resource Allocation With Fairness Guarantee and Minimal Loss for eMBB in 5G Heterogeneous Networks

Evolution of Small Cell from 4G to 6G: Past, Present, and Future

Heterogenous Networks: From small cells to 5G NR-U

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