A Seamless Handover Scheme With Assisted eNB for 5G C/U Plane Split Heterogeneous Network

Zhang, Ziyang; Zhao, Junhui; Ni, Shanjin; Gong, Yi

doi:10.1109/access.2019.2952737

Cited by 13 publications

(16 citation statements)

References 28 publications

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“…The IPv6‐based HOs 211 and fast HOs for FMIPv6 protocol have improved advancements for HOs and have been comprehensively reviewed in in Reference 45. A dual‐link soft HO scheme for the C/U network 212‐214 is described in Reference 215 where this scheme manages HOs and decreases the communication interruption time by setting up two antennas and applying bi‐casting.…”

Section: Optimization Methods In Communicationsmentioning

confidence: 99%

Overview of evolutionary algorithms and neural networks for modern mobile communication

Kouhalvandi

Shayea

Özoğuz

et al. 2022

Trans Emerging Tel Tech

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The sixth generation (6G) of mobile networks must support the huge growth of mobile connections and provides various intelligent services in future mobile networks. For that, designing high-performance network architecture and communication systems (CSs) as well as finding coherent solutions for the determined problems is critical demand that needs to be achieved in 6G networks.Optimal solutions are mainly sought by using modifiable, smart, and perceptive algorithms aimed at optimizing more specific tasks. Therefore, advanced optimization methods are highly required to accommodate the requirements of CSs efficiently. That will be in various parts of the future networks such as advanced mobility management, multi communication links, efficient power consumption, ultra-lower latency, ultra-security, high speed, and reliable connectivity.Accordingly, highly accurate and smart functions must be modeled to optimize the required communication parameters in the network. This study provides a comprehensive overview of optimization methods that may need further investigations and developments to be applied in 6G networks at various parts of networks. A detailed theoretical description for each method is presented and discussed to elucidate future research directions for optimizing specific characteristics with multi-objective optimizations. Moreover, this article illustrates the conceptual and structural viewpoints of reported optimization methods. Also, the capability of various optimization methods that can offer industrial solutions in 6G is discussed. The potential applications of each method are also analyzed. Finally, this article presented the research issues and future directions of optimization technology and research gaps that need to be addressed before the standardization of 6G networks. INTRODUCTIONRecently, innovative solutions of communication systems (CSs) have been developed impressively, as data traffic is increasing exponentially by more than 50% per year. 1 Several factors will contribute for increasing data demand massively, for example, as predicted by CISCO, the video will make up 82% of the all IP traffic by 2022. 2,3 This massive increase in data traffic will cause several new issues that will facing the implementation of future mobile networks. That will include a dramatic increase for wider spectrum need, 4 the necessity for big system capacity, 5 further mobility issues, 6,7 and higher energy consumption, 8 in which cannot be handled efficiently by the current cellular networks.

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Section: Optimization Methods In Communicationsmentioning

confidence: 99%

Overview of evolutionary algorithms and neural networks for modern mobile communication

Kouhalvandi

Shayea

Özoğuz

et al. 2022

Trans Emerging Tel Tech

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“…The eNodeB-based approaches in the handover mechanism for the 5G heterogeneous networks are detailed in this section. Zhang et al [42] developed the Control/User Plane Split (CUPS) for executing the handover between the two neighbors. In the overlapping sector, the eNodeB was applied to reduce the failure of handover between two neighbours.…”

Section: E) Evolved Nodeb-based Approachesmentioning

confidence: 99%

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

Kiran¹,

Rao²

2022

Infocommunications journal

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In recent mobile networks, due to the huge number of subscribers, the traffic may occur rapidly; therefore, it is complex to guarantee the accurate operation of the network. On the other hand, the Fifth generation (5G) network plays a vital role in the handover mechanism. Handover management is a prominent issue in 5G heterogeneous networks. Therefore, the Handover approach relocates the connection between the user equipment and the consequent terminal from one network to another. Furthermore, the handover approaches manage each active connection for the user equipment. This survey offers an extensive analysis of 50 research papers based on existing handover approaches in the 5G heterogeneous network. Finally, existing methods considering conventional vertical handover management strategies are elaborated to improve devising effective vertical handover management strategies. Moreover, the possible future research directions in attaining efficient vertical handover management in a 5G heterogeneous network are elaborated.

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“…The authors of [11] proposed a prevenient handover scheme with radio resource control signalling duplication and master-secondary switch in order to reduce the handover failure rate and service interruption time. Similarly, for a CUPS network, the authors of [12] presented a seamless handover scheme by introducing a handover-assisted micro evolved NodeB (HO A-eNB) in the overlapping area. Such HO A-eNB maintains a continuous connectivity with the UE throughout the handover process, resulting in improved success probability of handover.…”

Section: State-of-the-art In the Location-aware Communications And Handover Schemesmentioning

confidence: 99%

“…In the context of multi-RATs and SCNs, seamlessly handing over to or selecting a network/RAT, which provides the best possible QoS to the UE, remains a crucial enabler of a self-organized communication system, in which the connected vehicles/robots are capable of performing efficient handover in a self-organized manner via the obtained location awareness, such that the throughput as well as the link quality are jointly optimized. Apart from the IEEE 802.21 multimedia-independent handover (MIH) standard that supports a QoS-based handover within the HetNets, several works [6][7][8][9][10][11][12][13][14][15][16][17][18] investigated the location-aware handover (LHO) and/or location-aware network selection (LNS) strategy ensuring that the mobile users have access to the required media service via the best available network. The objective of our work is therefore to investigate the feasibility and benefits of such efficient handover decision making schemes (i.e., the LHO) when integrating the positioning solutions.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments

Gerasimenko

Kovalchukov

et al. 2020

Sensors

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The integration of millimeter wave (mmWave) and low frequency interfaces brings an unique opportunity to unify the communications and positioning technologies in the future wireless heterogeneous networks (HetNets), which offer great potential for efficient handover using location awareness, hence a location-aware handover (LHO). Targeting a self-organized communication system with autonomous vehicles, we conduct and describe an experimental and analytical study on the LHO using a mmWave-enabled robotic platform in a multi-radio environment. Compared to the conventional received signal strength indicator (RSSI)-based handover, the studied LHO not only improves the achievable throughput, but also enhances the wireless link robustness for the industrial Internet-of-things (IIoT)-oriented applications. In terms of acquiring location awareness, a geometry-based positioning (GBP) algorithm is proposed and implemented in both simulation and experiments, where its achievable accuracy is assessed and tested. Based on the performed experiments, the location-related measurements acquired by the robot are not accurate enough for the standalone-GBP algorithm to provide an accurate location awareness to perform a reliable handover. Nevertheless, we demonstrate that by combining the GBP with the dead reckoning, more accurate location awareness becomes achievable, the LHO can therefore be performed in a more optimized manner compared to the conventional RSSI-based handover scheme, and is therefore able to achieve approximately twice as high average throughput in certain scenarios. Our study confirms that the achieved location awareness, if accurate enough, could enable an efficient handover scheme, further enhancing the autonomous features in the HetNets.

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A Seamless Handover Scheme With Assisted eNB for 5G C/U Plane Split Heterogeneous Network

Cited by 13 publications

References 28 publications

Overview of evolutionary algorithms and neural networks for modern mobile communication

Overview of evolutionary algorithms and neural networks for modern mobile communication

Analytical Review and Study on Various Vertical Handover Management Technologies in 5G Heterogeneous Network

Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments

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