Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks

Li, Jun; Zhang, Yuwei; Wang, Jing; Cui, Tao; Zhang, Lin; Li, Chao; Chen, Kai; Li, Sun; Feng, Sunli; Xie, Dongqing; Fan, Dahua; Ou, Jianghong; Li, Yun; Xiang, Haige; Dube, Kaimeno; Muazu, Abbarbas; Rono, Nakilavai; Zhu, Fusheng; Chen, Liming; Zhou, Wen; Liu, Zhusong

doi:10.4108/eetinis.v9i31.960

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…The deployment of ultra-dense networks (UDNs) as a type of cellular network is an extremely promising technology for supporting the huge number of connections, especially in the applications of massive Internet of Things (IoT). In comparison with present network technologies, UDNs help to considerably improve the network capacity, spectral efficiency, as well as coverage with a high quality-of-service (QoS) by reducing the distance between the base stations (BSs) and user equipment (UE) [2,3]. However, the highly dense deployment of small cells in UDNs causes high interference, high power consumption, and high computational complexity, which must be addressed to satisfy the stringent constraints of the beyond fifth-generation networks (B5G) [4].…”

Section: Introductionmentioning

confidence: 99%

Joint Clustering and Resource Allocation Optimization in Ultra-Dense Networks with Multiple Drones as Small Cells Using Game Theory

Bui

Nguyen

Kha

et al. 2023

Sensors

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In this study, we consider the combination of clustering and resource allocation based on game theory in ultra-dense networks that consist of multiple macrocells using massive multiple-input multiple-output and a vast number of randomly distributed drones serving as small-cell base stations. In particular, to mitigate the intercell interference, we propose a coalition game for clustering small cells, with the utility function being the ratio of signal to interference. Then, the optimization problem of resource allocation is divided into two subproblems: subchannel allocation and power allocation. We use the Hungarian method, which is efficient for solving binary optimization problems, to assign the subchannels to users in each cluster of small cells. Additionally, a centralized algorithm with low computational complexity and a distributed algorithm based on the Stackelberg game are provided to maximize the network energy efficiency (EE). The numerical results demonstrate that the game-based method outperforms the centralized method in terms of execution time in small cells and is better than traditional clustering in terms of EE.

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Section: Introductionmentioning

confidence: 99%

Joint Clustering and Resource Allocation Optimization in Ultra-Dense Networks with Multiple Drones as Small Cells Using Game Theory

Bui

Nguyen

Kha

et al. 2023

Sensors

View full text Add to dashboard Cite

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Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

Zhang

Wang

et al. 2022

EAI Endorsed Trans Ind Net Intel Syst

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Within this specific record, our group study the two-way interact body (TWRN) that has a number of amplify-and-forward (AF) relays. In that, the best one is actually really got to help the info communication among sources. A interact option is actually really according to the obsolete channel problem information (CSI) in addition to our group analyze its own very personal effect on the system effectiveness in the Rayleigh fading atmospheres. Especially, we extremely preliminary acquire a restricted decreased connected for the outage opportunity and afterward current an asymptotic assessment for greater signal-to-noise ratio (SNR). Our group extra acquire a restricted decreased connected along with an asymptotic result on the authorize error cost (SER). Originating got via these results, our group easily quickly obtain that body system range order remain at unity offered that the CSI is actually really obsolete. Relative results reveal the rigidness on the effectiveness bounds along with the effects of obsolete interact option on the body system effectiveness. Simulation outcomes are likewise offered to corroborate the scholastic evaluation.

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An Overview on Active Transmission Techniques for Wireless Scalable Networks

Tang

Lai

Zhang

et al. 2022

EAI Endorsed Scal Inf Syst

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Currently, massive data communication and computing pose a severe challenge on existing wireless network architecture, from various aspects such as data rate, latency, energy consumption and pricing. Hence, it is of vital importance to investigate active wireless transmission for wireless networks. To this end, we first overview the data rate of wireless active transmission. We then overview the latency of wireless active transmission, which is particularly important for the applications of monitoring services. We further overview the spectral efficiency of the active transmission, which is particularly important for the battery-limited Internet of Things (IoT) networks. After these overviews, we give several critical challenges on the active transmission, and we finally present feasible solutions to meet these challenges. The work in this paper can serve as an important reference to the wireless networks and IoT networks.

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Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks

Cited by 5 publications

References 22 publications

Joint Clustering and Resource Allocation Optimization in Ultra-Dense Networks with Multiple Drones as Small Cells Using Game Theory

Joint Clustering and Resource Allocation Optimization in Ultra-Dense Networks with Multiple Drones as Small Cells Using Game Theory

Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks

An Overview on Active Transmission Techniques for Wireless Scalable Networks

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