A Neural Network Based Conflict-Graph Construction Approach for Ultra-Dense Networks

Cao, Jiaqi; Liu, Xin; Dong, Weiguo; Peng, Tao; Duan, Ran; Yuan, Yifei; Wang, Wenbo

doi:10.1109/glocomw.2018.8644273

Cited by 11 publications

(3 citation statements)

References 14 publications

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“…Although modern innovations promise to meet the necessities of 5G-based remote piano education, the network execution is fundamentally limited by the import co-channel impedance. e obstruction of executives is especially significant [19,20]. A savvy piano education visualization system framework mirrors the arrangement of a smart city, utilizing the Internet of ings, the Internet, and current Internet-based intelligent application frameworks.…”

Section: Literature Surveymentioning

confidence: 99%

University Piano Education Visualization System under the Background of Distance Education Based on 5G Network

Xie

2022

Mathematical Problems in Engineering

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University piano education online learning courses supplement learning and have quickly advanced distance education and the essence of improving Internet innovation. Experts of piano education visualization system and distance piano education visualization system are a world specification, which offers various university and online open-source courses, for those who seek an online expert for piano education events. The individual online piano learning course is another choice for learning the education visualization system via progressive Internet correspondence. Past techniques depend on the profound learning piano education system courses of learning and information mining distance education. Existing strategies present specialized difficulties, which include the difficulty of the piano learning via an online network. As such, this study aims to establish a university piano education visualization system framework via a distance education background utilizing the fifth-generation (5G) network; the distance education learning for piano education visualization system course using the 5G network is proposed. The remote sensor shows an assortment of methods for grownups to partake in the online learning preparation. The idea of online communication within a network of instructors and understudies is extraordinary. When considering training-based or execution-based courses, there is a likelihood that the learning system may exhibit an inferior quality of sound, and the sound of the piano notes may lag with time over the network connection. Online learning provides adaptability and internationalization and has the capacity to interface with countless individuals and bring them together in the online learning environment. In this situation, the straightforward transportation and installment of remote sensors, the user of the distance educator 5G network is advised to view it from a commonsense perspective. Furthermore, there is a need to advance online piano education training in instructive exercises.

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Section: Literature Surveymentioning

confidence: 99%

University Piano Education Visualization System under the Background of Distance Education Based on 5G Network

Xie

2022

Mathematical Problems in Engineering

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“…Based on the above methods for reducing interference, in this subsection, we present the most recent studies conducted on the time-domain approaches ( [133,134]), frequencydomain approaches ( [135][136][137][138][139][140][141]), power-domain approaches ( [142,143]), and spatial-domain approaches ( [144][145][146]) in UAVs, as follows: a. Time-Domain approaches…”

Section: Related Work In Udnsmentioning

confidence: 99%

“…In [137], the authors investigated resource management in UDNs based on singlecarrier OFDMA in an uplink scenario. A conflict-graph strategy based on machine learning that uses the uplink SINR and RB allocation data was proposed.…”

Section: Time-domain Approachesmentioning

confidence: 99%

Interference Challenges and Management in B5G Network Design: A Comprehensive Review

et al. 2022

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Beyond Fifth Generation (B5G) networks are expected to be the most efficient cellular wireless networks with greater capacity, lower latency, and higher speed than the current networks. Key enabling technologies, such as millimeter-wave (mm-wave), beamforming, Massive Multiple-Input Multiple-Output (M-MIMO), Device-to-Device (D2D), Relay Node (RN), and Heterogeneous Networks (HetNets) are essential to enable the new network to keep growing. In the forthcoming wireless networks with massive random deployment, frequency re-use strategies and multiple low power nodes, severe interference issues will impact the system. Consequently, interference management represents the main challenge for future wireless networks, commonly referred to as B5G. This paper provides an overview of the interference issues relating to the B5G networks from the perspective of HetNets, D2D, Ultra-Dense Networks (UDNs), and Unmanned Aerial Vehicles (UAVs). Furthermore, the existing interference mitigation techniques are discussed by reviewing the latest relevant studies with a focus on their methods, advantages, limitations, and future directions. Moreover, the open issues and future directions to reduce the effects of interference are also presented. The findings of this work can act as a guide to better understand the current and developing methodologies to mitigate the interference issues in B5G networks.

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Incrementally Finding the Vertices Absent from the Maximum Independent Sets

Liu

Zheng

Chen

et al. 2021

Advances in Knowledge Discovery and Data Mining

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A Neural Network Based Conflict-Graph Construction Approach for Ultra-Dense Networks

Cited by 11 publications

References 14 publications

University Piano Education Visualization System under the Background of Distance Education Based on 5G Network

University Piano Education Visualization System under the Background of Distance Education Based on 5G Network

Interference Challenges and Management in B5G Network Design: A Comprehensive Review

Incrementally Finding the Vertices Absent from the Maximum Independent Sets

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