An Enhanced Handover Scheme to Provide the Robust and Efficient Inter-Beam Mobility

Oh, Sung-Min; Kang, Sookyang; Go, Kwang-Chun; Kim, Jae Hyun; Park, Aesoon

doi:10.1109/lcomm.2015.2401579

Cited by 18 publications

(16 citation statements)

References 6 publications

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“…The problem of signalling overhead due to frequent interbeam handovers mmWave communication is addressed in [44], [46]. The work in [46] considers continuously arranged beam (CAB) system where multiple beams are arranged in fixed directions and beam switching within same BS is treated as handover. The work adopt two approaches to improve inter-beam handover performance.…”

Section: ) Multi-beam Coordination Based Inter-beam Ho Decisionmentioning

confidence: 99%

Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Kose¹,

Lee

Foh

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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It is envisaged that 5G can enable many vehicular use cases that require high capacity, ultra-low latency and high reliability. To support this, 5G proposes the use of dense small cells technology as well as and highly directional mmWave systems deployment, among many other new advanced communication technologies, to boost the network capacity, reduce latency and provide high reliability. In such systems, enabling vehicular communication, where the nodes are highly mobile, requires robust mobility management techniques to minimise signalling cost and interruptions during frequent handovers. This presents a major challenge that communication system engineers need to address to realise the promise of 5G systems for V2X and similar applications. In this paper, we provide an overview of recent progresses in the development of handover and beam management techniques in 5G communication systems. We conduct a critical appraisal of current research on beam level and cell level mobility management in 5G mmWave networks considering the ultra-reliable and low-latency communication requirements within the context of V2X applications. We also provide an insight into the open challenges and the emerging trends as well as the possible evolution beyond the horizon of 5G.

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Section: ) Multi-beam Coordination Based Inter-beam Ho Decisionmentioning

confidence: 99%

Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Kose¹,

Lee

Foh

et al. 2021

IEEE Open J. Intell. Transp. Syst.

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show abstract

“…Nevertheless, the handovers between mmWave base stations are not discussed. In [23], the inter-beam handover within a serving mmWave base station is studied without considering the inter-site handovers. In this paper, our study focus is on the inter-site handovers of mmWave directional communications.…”

Section: Related Workmentioning

confidence: 99%

Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks

Ding

Zhang

et al. 2019

IEEE Trans. Wireless Commun.

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The integration of sub-6 GHz and millimeter wave (mmWave) bands has a great potential to enable both reliable coverage and high data rate in future vehicular networks. Nevertheless, during mmWave vehicle-to-infrastructure (V2I) handovers, the coverage blindness of directional beams makes it a significant challenge to discover target mmWave remote radio units (mmW-RRUs) whose active beams may radiate somewhere that the handover vehicles are not in. Besides, fast and soft handovers are also urgently needed in vehicular networks. Based on these observations, to solve the target discovery problem, we utilize channel state information (CSI) of sub-6 GHz bands and Kernel-based machine learning (ML) algorithms to predict vehicles' positions and then use them to pre-activate target mmW-RRUs. Considering that the regular movement of vehicles on almost linearly paved roads with finite corner turns will generate some regularity in handovers, to accelerate handovers, we propose to use historical handover data and K-nearest neighbor (KNN) ML algorithms to predict handover decisions without involving time-consuming target selection and beam training processes. To achieve soft handovers, we propose to

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“…The authors also derived closed-form expressions of key handover metrics to evaluate the proposed schemes. The authors in [11] studied inter-beam handover scheme for mmWave mobile communication systems. Due to the characteristic of narrow beams, the inter-beam handover is frequent, leading to handover failure and signaling overhead.…”

Section: Related Workmentioning

confidence: 99%

Impacts of S1 and X2 Interfaces on eMBMS Handover Failure: Solution and Performance Analysis

Ren

Chen

Chin

2018

IEEE Trans. Veh. Technol.

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In evolved Multimedia Broadcast/Multicast Service (eMBMS), service continuity enables users move from one cell to another without interrupting eMBMS service. Unlike traditional handover in unicast transmission, a UE can receive eMBMS service in either unicast or multicast mode. In this paper, we point out a new handover failure problem in eMBMS due to the miss of rekeying information. We first take a close look at the new handover scenarios. We then investigate the problem by using comprehensive mathematical models. Our models provide insights on the new handover problem and introduce theoretical guidelines for mobile operators to design and optimize their networks without wide deployment to save cost and time. Moreover, we propose a solution to combat against the handover failure. Both the simulation and analytical results demonstrate that the impacts of the eMBMS handover failure are reduced significantly. In this paper, we present a systematic way to investigate the handover failure problem in eMBMS.

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An Enhanced Handover Scheme to Provide the Robust and Efficient Inter-Beam Mobility

Cited by 18 publications

References 6 publications

Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Beam-Based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks

Impacts of S1 and X2 Interfaces on eMBMS Handover Failure: Solution and Performance Analysis

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