Load Balancing and QoS Supporting Access and Handover Decision Algorithm for GEO/LEO Heterogeneous Satellite Networks

Song, Hangyu; Liu, Shuaijun; Hu, Xin; Li, Xiuhua; Wang, Weidong

doi:10.1109/compcomm.2018.8781039

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…Therefore, actors such as congestion and queuing delay need to be added when designing the routing scheme for dynamic traffic balancing. Based on the prediction of traffic distribution, the work in [103] presented a parametric adaptive multi-attribute decision making (PASMAD) access and switching algorithm for GEO-LEO heterogeneous satellite networks. The algorithm customizes a dynamic parameter to balance the network load and solve link congestion caused by uneven traffic distribution in heterogeneous networks.…”

Section: Traffic Balancing Dynamic Routingsmentioning

confidence: 99%

Dynamic Routings in Satellite Networks: An Overview

Cao

Xiong

et al. 2022

Sensors

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The Satellite network is an important part of the global network. However, the complex architecture, changeable constellation topology, and frequent inter-satellite connection switching problems bring great challenges to the routing designs of satellite networks, making the study of the routing methods in satellite networks a research hotspot. Therefore, this paper investigates the latest existing routing works to tackle the dynamic routing problems in satellite networks. The architecture and development of satellite networks are presented and analyzed first. Afterward, dynamic routing problems in satellite networks are analyzed in detail based on the time-varying network topology. According to the latest works, the advanced satellite network routing schemes, including single-layer and multi-layer dynamic routing are introduced and analyzed. In addition, the merits, shortcomings, and applications of these schemes are analyzed and summarized. Finally, potential technologies and future directions are discussed.

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Section: Traffic Balancing Dynamic Routingsmentioning

confidence: 99%

Dynamic Routings in Satellite Networks: An Overview

Cao

Xiong

et al. 2022

Sensors

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“…For the factors to be considered in handover, the optimization objectives generally are maximum service time, shortest communication distance and maximum resource acquisition [4][5]. There are also handover schemes that take into account various factors such as the comprehensive consideration of signal-to-noise ratio, bandwidth and transmission overhead [6]. There are also handover schemes based on Quality of Experience (QOE) proposed in literature [7].…”

Section: Introductionmentioning

confidence: 99%

Design of Handover Strategy for Mobile Communication Network

Lv,

Yu,

et al. 2023

Preprint

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In the new generation of mobile communication heterogeneous networks, the density of base station is high. Frequent handover operations may cause some base stations to receive a large number of access requests in a short period of time, resulting in network congestion and handover failures. To address this issue, a group based handover strategy is proposed in the paper. The base station obtains probability statistics on the movement patterns of vehicles and pedestrians based on road map information within its coverage area. Users are grouped according to the statistical results. The group based handover is adopted to replace independent handover. By calculating and comparing the handover probability of the current service user terminal switching to other base station, with the optimization goals of handover success rate, bandwidth utilization and network equilibrium gain, the group is updated to ensure its rationality and effectiveness. The simulation results show that this strategy can improve the handover success rate, bandwidth utilization and network equilibrium gain.

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