Adaptive Hysteresis Margin Based on Fuzzy Logic for Handover in Mobile Networks With Dense Small Cells

Silva, Ketyllen Da Costa; Bečvář, Zdeněk; Francês, Carlos Renato Lisboa

doi:10.1109/access.2018.2811047

Cited by 71 publications

(27 citation statements)

References 31 publications

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“…In a complementary way, the Signal-to-Noise Ratio (SNR) or Signal-to-Interference ratio (SIR) can execute the same function. Furthermore, there are some link-layer indicators, such as Bit-Error-Rate and Frame-error-Rate, which can be used to estimate the time to proceed with a handshake process [ 30 , 31 , 32 ]. This collected information is treated in further stages of the handover process.…”

Section: Related Workmentioning

confidence: 99%

“…When the user has changed the service provider, it cannot return to the previous AP until more robust return conditions have been accomplished. It shapes a hysteresis loop, which prevents the user hops from AP to AP when the link fluctuates [ 30 , 35 ]. There is also a time restriction to avoid multiple handovers in a short period, called Time-to-Trigger (TTT).…”

Section: Related Workmentioning

confidence: 99%

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VLC Network Design for High Mobility Users in Urban Tunnels

Torres-Zapata

Guerra

Rabadán

et al. 2021

Sensors

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Current vehicular systems require real-time information to keep drivers safer and more secure on the road. In addition to the radio frequency (RF) based communication technologies, Visible Light Communication (VLC) has emerged as a complementary way to enable wireless access in intelligent transportation systems (ITS) with a simple design and low-cost deployment. However, integrating VLC in vehicular networks poses some fundamental challenges. In particular, the limited coverage range of the VLC access points and the high speed of vehicles create time-limited links that the existing handover procedures of VLC networks can not be accomplished timely. Therefore, this paper addresses the problem of designing a vehicular VLC network that supports high mobility users. We first modify the traditional VLC network topology to increase uplink reliability. Then, a low-latency handover scheme is proposed to enable mobility in a VLC network. Furthermore, we validate the functionality of the proposed VLC network design method by using system-level simulations of a vehicular tunnel scenario. The analysis and the results show that the proposed method provides a steady connection, where the vehicular node is available more than 99% of the time regardless of the number of vehicular nodes on this network. Additionally, the system is able to achieve a Frame-Error-Rate (FER) performance lower than 10−3.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

VLC Network Design for High Mobility Users in Urban Tunnels

Torres-Zapata

Guerra

Rabadán

et al. 2021

Sensors

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show abstract

“…The authors of [18] proposed to use fuzzy logic to solve issues relating to redundant handovers and HOF ratios in dense small cell networks in LTE. A self-optimizing system that analyses the user velocity and radio channel quality and adapts hysteresis values for handover decisions is proposed.…”

Section: Ai Approachmentioning

confidence: 99%

Multi-Tier Cellular Handover with Multi-Access Edge Computing and Deep Learning

Kapadia

Seet

2021

Telecom

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This paper proposes a potential enhancement of handover for the next-generation multi-tier cellular network, utilizing two fifth-generation (5G) enabling technologies: multi-access edge computing (MEC) and machine learning (ML). MEC and ML techniques are the primary enablers for enhanced mobile broadband (eMBB) and ultra-reliable and low latency communication (URLLC). The subset of ML chosen for this research is deep learning (DL), as it is adept at learning long-term dependencies. A variant of artificial neural networks called a long short-term memory (LSTM) network is used in conjunction with a look-up table (LUT) as part of the proposed solution. Subsequently, edge computing virtualization methods are utilized to reduce handover latency and increase the overall throughput of the network. A realistic simulation of the proposed solution in a multi-tier 5G radio access network (RAN) showed a 40–60% improvement in overall throughput. Although the proposed scheme may increase the number of handovers, it is effective in reducing the handover failure (HOF) and ping-pong rates by 30% and 86%, respectively, compared to the current 3GPP scheme.

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“…This approach can find solutions that are able to meet the requirements of the network in a satisfactory way. With regard to this, previous studies [19]- [22] are examples of how fuzzy logic can be used for decision making, either for implementing algorithms for handover, allocating routing protocols for flying ad-hoc networks (FANET) or the allocation of unmanned aerial vehicle (UAV) to overcome the problem of congested areas where there is a high volume of traffic data.…”

Section: The Decision Strategymentioning

confidence: 99%

A Fuzzy Strategy for Planning Centralized Access Networks in the Installation of Hybrid Fiber Radio Systems

Costa

Silva

et al. 2020

IEEE Access

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5G networks have arrived and are able to shift paradigms within the areas of connectivity, maintainability, scalability and availability. Their aim is to ensure that users can remain online with their devices at any time and in any place. In light of this, solutions for centralized networks are becoming attractive since they are manageable and low-cost. In these conditions, the use of computing techniques such as fuzzy logic benefits the supervision and planning of networks by optimizing and controlling resources as well as managing the system. However, planning a centralized network tends to raise challenges in the optical sectors that are located between the telecommunications center and the base station. Technologies such as radio over fiber are being examined to meet the demands in the fronthaul market, although they raise many other challenges. For this reason, in this study, we have adopted an intelligent strategy to determine in a balanced way which radio over fiber signals should be allocated in the optical sector. This strategy is implemented using fuzzy logic and may be used in decision making to plan the future of centralized networks. The results show that it is possible to make tradeoffs between the capital expenditure and performance of the system.

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Adaptive Hysteresis Margin Based on Fuzzy Logic for Handover in Mobile Networks With Dense Small Cells

Cited by 71 publications

References 31 publications

VLC Network Design for High Mobility Users in Urban Tunnels

VLC Network Design for High Mobility Users in Urban Tunnels

Multi-Tier Cellular Handover with Multi-Access Edge Computing and Deep Learning

A Fuzzy Strategy for Planning Centralized Access Networks in the Installation of Hybrid Fiber Radio Systems

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