QoS-Aware Autonomous IAB-Node Activation and Access Control

Tan, A. Serdar; Biyar, Elham Dehghan

doi:10.1109/iccworkshops50388.2021.9473851

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…This framework was suitable for different IAB network structures and enabled real-time spectrum allocation. Tan et al in [21] focued on user's quality of experience, and proposed to temporarily activate a nearby IAB node or switch to a new IAB node for UEs with low QoS. Ref.…”

Section: Related Workmentioning

confidence: 99%

Beijing Language and Culture University, China

Wang¹

2022

The Experience of Examining the PhD

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In the study of network synchronization, an outstanding question of both theoretical and practical significance is how to allocate a given set of heterogenous oscillators on a complex network in order for improving the synchronization performance. Whereas methods have been proposed to address this question in literature, the methods are based on accurate models describing the system dynamics, which, however, are normally unavailable in realistic situations. Here we show that this question can be addressed by the model-free technique of feed-forward neural network (FNN) in machine learning. Specifically, we measure the synchronization performance of a number of allocation schemes and use the measured data to train a machine. It is found that the trained machine is able to not only infer the synchronization performance of any new allocation scheme, but also find from a huge amount of candidates the optimal allocation scheme for synchronization.

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Section: Related Workmentioning

confidence: 99%

Beijing Language and Culture University, China

Wang¹

2022

The Experience of Examining the PhD

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“…There have been many studies on IAB in the past decade, which considered resource allocation [17]- [20], topology formation [21]- [24], routing [22], and power allocation [25] In [17], the authors considered the maximization of the throughput by optimizing the scheduling of access and backhauling links. The authors formulated a max-min optimization problem to maximize the minimum throughput and used the revised simplex algorithm to solve the optimization problem.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [21] presented a quality of service (QoS)aware node activation where every time UEs in specific regions suffer from low QoS, then the will system initiates a new IAB node to improve the region's QoS. In this topology, UEs with bad service are handed over to the latest and dynamically activated IAB node.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Saving Scheme With Edge Computing and Energy Harvesting in mmWaves Backhauling HetNets

Alqasir

2023

IEEE Access

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The exponential growth of data traffic from mobile devices requires the implementation of heterogeneous networks (HetNets), which densely deploy multiple radio access technologies to match such demands. The deployment of many small base stations (SBSs) leads to backhauling problems where wired backhauling is neither available nor efficient. millimeter waves (mmWaves) can potentially mitigate the backhauling problem by providing high throughput and low capital expenditure (CAPEX). However, due to the high attenuation rate in mmWaves, the increase in the distance between SBS and macro base station (MBS) can severely degrade the system's overall performance. On the other hand, densely deployed SBSs with wireless backhauling can cause high energy consumption in the system. Therefore, in this work, a novel network model is presented in which a combination of SBS, active antenna units (AAUs), and edge computing units (ECUs) are deployed to minimize the overall energy consumption of the network while maintaining the sufficient quality of service (QoS). A mathematical model based on optimization modeling is introduced to solve user equipments (UEs) association, dynamic sleeping, backhauling and fronthauling, and power transmission. Due to the complexity of the formulated problem, a heuristic algorithm is introduced. Namely, integrated access and backhauling (IAB) with Edge Computing and Dynamic Sleeping Algorithm (IEDS) algorithm is introduced to decompose the formulated problem into two parts and solve them iteratively. Finally, computer simulation results that demonstrate the model's performance are presented for comparison between optimal solution, IEDS, and HBDS, which shows that IEDS outperformed HBDS in performance with negligible computation difference.

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Joint User Association and Transmission Scheduling in Integrated mmWave Access and Terahertz Backhaul Networks

Wang

Niu

et al. 2023

IEEE Trans. Veh. Technol.

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QoS-Aware Autonomous IAB-Node Activation and Access Control

Cited by 4 publications

References 9 publications

Beijing Language and Culture University, China

Beijing Language and Culture University, China

An Energy-Saving Scheme With Edge Computing and Energy Harvesting in mmWaves Backhauling HetNets

Joint User Association and Transmission Scheduling in Integrated mmWave Access and Terahertz Backhaul Networks

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