Adaptive heading prediction of moving path for user-centric optimal cell selection toward 5G cooperative cellular communication

Chang, Ben-Jye; Liou, Yi-Jhih

doi:10.1016/j.comcom.2018.08.013

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…According to Table 1 , we can know that the QoS for handover is very important [ 31 ]. Otherwise, most literature also considers the handover trigger time or strategy with BS and small cell.…”

Section: Methodsmentioning

confidence: 99%

The Efficient Mobile Management Based on Metaheuristic Algorithm for Internet of Vehicle

Huang

Chen

et al. 2022

Sensors

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With the low latency, high transmission rate, and high reliability provided by the fifth-generation mobile communication network (5G), many applications requiring ultra-low latency and high reliability (uRLLC) have become a hot research topic. Among these issues, the most important is the Internet of Vehicles (IoV). To maintain the safety of vehicle drivers and road conditions, the IoV can transmit through sensors or infrastructure to maintain communication quality and transmission. However, because 5G uses millimeter waves for transmission, a large number of base stations (BS) or lightweight infrastructure will be built in 5G, which will make the overall environment more complex than 4G. The lightweight infrastructure also has to be considered together. For these reasons, in 5G, there are two mechanisms for handover, horizontal, and vertical handover; hence, it must be discussed how to handle handover to obtain the best performance for the whole network. In this paper, to address handover selection, we consider delay time, energy efficiency, load balancing, and energy consumption and formulate it as a multi-objective optimization (MOO) problem. At the same time, we propose the handover of the mobile management mechanism based on location prediction combined with heuristic algorithms. The results show that our proposed mechanism is better than the distance-based one for energy efficiency, load, and latency. It optimizes by more than about 20% at most.

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Section: Methodsmentioning

confidence: 99%

The Efficient Mobile Management Based on Metaheuristic Algorithm for Internet of Vehicle

Huang

Chen

et al. 2022

Sensors

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“…In the context of LTE advanced heterogeneous networks, the work [13] addressed the cell selection and resource allocation optimization problem by dynamic programming. The work [14] considered 5G cooperative cellular communication and proposed to use adaptive heading prediction of moving path for user-centric cell selection. In [15], the authors proposed a dynamic serving cell selection scheme based on channel state information and cell load for multi-connectivity in a 5G ultra dense network.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Stopping Approach to Cell Selection in 5G Networks

2019

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Initial cell search and selection is one of the first few essential steps that a mobile device must perform to access a mobile network. The traditional maximum received power based initial cell selection may result in unbalanced loads across the cells in multi-tier heterogeneous 5G networks with millimeter wave. The objective of this work is to improve the initial cell search and selection scheme to achieve a more balanced load distribution in 5G networks. We propose to augment the existing pure maximum received power based scheme with a new load factor broadcast as part of system information. To study the theoretical performance of the proposed initial cell search and selection scheme, we formulate a throughput optimization problem and solve it by using optimal stopping theory. We characterize the throughput optimal stopping strategy and the attained maximum throughput. We prove that the proposed initial cell search and selection scheme is throughput optimal with a carefully optimized connection threshold. The optimal connection threshold and maximum throughput can be found by solving a fixed point equation. We further develop an iterative algorithm to compute the solution to the fixed point equation and prove the convergence of the proposed iterative algorithm. We also provide simulation results to demonstrate the analytical results and obtain insights. Our analysis and results show that the proposed initial cell search and selection scheme can help achieve a more balanced load distribution in 5G networks. INDEX TERMS Cellular networks, millimeter wave communication, optimization.

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Heterocoagulation method for preparation of composite fluoropolymer particles with core–shell structure for optimized electromagnetic performance

Zheng

Zhang

Chu

et al. 2021

J Mater Sci: Mater Electron

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Adaptive heading prediction of moving path for user-centric optimal cell selection toward 5G cooperative cellular communication

Cited by 4 publications

References 33 publications

The Efficient Mobile Management Based on Metaheuristic Algorithm for Internet of Vehicle

The Efficient Mobile Management Based on Metaheuristic Algorithm for Internet of Vehicle

An Optimal Stopping Approach to Cell Selection in 5G Networks

Heterocoagulation method for preparation of composite fluoropolymer particles with core–shell structure for optimized electromagnetic performance

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