ZEUS: Handover algorithm for 5G to achieve zero handover failure

Park, Hyunseo; Lee, Yuro; Kim, Tae‐Joong; Kim, Byung‐Chul; Lee, Jae‐Yong

doi:10.4218/etrij.2020-0356

Cited by 10 publications

(5 citation statements)

References 29 publications

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“…The formula for HIT is provided in equation (37) and is the product of the break time (T Break ), processing time (T Proc ), interruption time (T Interrupt ), radio access channel time (T RACH ), and handover completion time (T HC ). The 3GPP has accepted 50 millisecond to be the typical HO interruption time [86], [87].…”

Section: Ee(bits/joule) =mentioning

confidence: 99%

A2T-Boost: An Adaptive Cell Selection Approach for 5G/SDN-Based Vehicular Networks

Alablani

Arafah²

2023

IEEE Access

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Heterogeneous ultra-dense networks (HUDNs) are one of the key enabling technologies for the fifth-generation (5G) networks. They aim to provide high capacity, low installation cost, and distributed traffic loads. The cell selection is a challenging issue in HUDNs, due to the different characteristics of base stations (BSs) and the existence of a large number of them. Thus, the traditional cell selection scheme is not applicable in such a network. In this paper, a novel adaptive cell selection strategy is proposed, called adaptive two-tier based on adaptive boosting (A2T-Boost). It can adapt to the various characteristics of base stations, as well as the different movement features of mobile stations such as vehicles and pedestrian. It is a software-defined networking (SDN)/machine learning (ML)-based scheme. A real-world case is considered in the downtown of Los Angeles city. Simulation results demonstrate that A2T-Boost achieves high prediction performance and it outperforms other related schemes in terms of average number of handovers (HOs) by up to 50%. Moreover, it enhances the average achievable downlink sum-rates and network energy efficiency achieved by vehicles by up to 33.76%. Furthermore, the average packet delay is decreased using the proposed scheme by up to 12.87%.

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Section: Ee(bits/joule) =mentioning

confidence: 99%

A2T-Boost: An Adaptive Cell Selection Approach for 5G/SDN-Based Vehicular Networks

Alablani

Arafah²

2023

IEEE Access

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“…The model can support macro, small, and femtocells, WiFi, WiMax, and visible light communication. In [113], the authors investigated the increase in interruption time due to HOF and presented a technique called 'zero HOF' with unforced and automatic time. The HOF is minimized with the enhancement of the HOPP rate.…”

Section: Current Solutions For Ho and Mobility Management Challenges ...mentioning

confidence: 99%

A Survey on Handover and Mobility Management in 5G HetNets: Current State, Challenges, and Future Directions

Ullah

Roslee

Mitani

et al. 2023

Sensors

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Fifth-generation (5G) networks offer high-speed data transmission with low latency, increased base station volume, improved quality of service (QoS), and massive multiple-input–multiple-output (M-MIMO) channels compared to 4G long-term evolution (LTE) networks. However, the COVID-19 pandemic has disrupted the achievement of mobility and handover (HO) in 5G networks due to significant changes in intelligent devices and high-definition (HD) multimedia applications. Consequently, the current cellular network faces challenges in propagating high-capacity data with improved speed, QoS, latency, and efficient HO and mobility management. This comprehensive survey paper specifically focuses on HO and mobility management issues within 5G heterogeneous networks (HetNets). The paper thoroughly examines the existing literature and investigates key performance indicators (KPIs) and solutions for HO and mobility-related challenges while considering applied standards. Additionally, it evaluates the performance of current models in addressing HO and mobility management issues, taking into account factors such as energy efficiency, reliability, latency, and scalability. Finally, this paper identifies significant challenges associated with HO and mobility management in existing research models and provides detailed evaluations of their solutions along with recommendations for future research.

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“…The authors in [99] recommended the 'ZEro HOF with unforced and automatic time-to-execute Scaling' (ZEUS) algorithm in 2022 for seamless HO parameter optimization in CHO and the minimization of HOF to near 0 to fulfill the 5G network prerequisites, which necessitates HIT at 0 ms in various scenarios. In line with the analysis and simulation outcomes, ZEUS potentially attains a '0' HOF rate without elevating the HOPP rate.…”

Section: A Conditional Ho (Cho)mentioning

confidence: 99%

A Survey on Handover Optimization in Beyond 5G Mobile Networks: Challenges and Solutions

et al. 2023

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Handover (HO) management is essential in mobile cellular networks. It ensures seamless connectivity to the User Equipment (UE) while moving from one Base Station (BS) to another within the coverage area. HO optimization refers to the adoption of intelligent and automatic HO techniques in mobile networks. HO optimization is gaining more importance in Fifth-Generation (5G) and Beyond (B5G) systems because of the requirements and specifications that B5G targets. The requirements of B5G include global connectivity, ultra-low latency, big data analytics, extreme data rate transmissions, a massive number of devices in a small area, and new technologies that will support the B5G network, such as Millimeter Wave (mmWave), Terahertz (THz) communication, and Ultra-Dense Networks (UDNs). All these factors cause new HO optimization challenges and require new solutions for HO optimization techniques. This study comprehensively provides HO optimization challenges and solutions in B5G. First, it provides a research background and explanation of HO in legacy. It then investigates the HO optimization challenges in B5G, including future research directions. The paper then discusses the most prominent and recent techniques and technological solutions for HO optimization management in B5G. Finally, we highlight potential techniques for HO optimization in B5G.

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ZEUS: Handover algorithm for 5G to achieve zero handover failure

Cited by 10 publications

References 29 publications

A2T-Boost: An Adaptive Cell Selection Approach for 5G/SDN-Based Vehicular Networks

A2T-Boost: An Adaptive Cell Selection Approach for 5G/SDN-Based Vehicular Networks

A Survey on Handover and Mobility Management in 5G HetNets: Current State, Challenges, and Future Directions

A Survey on Handover Optimization in Beyond 5G Mobile Networks: Challenges and Solutions

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