Mobility Management for Hybrid LiFi and WiFi Networks in the Presence of Light-Path Blockage

Wu, Xinzhou; Chen, Cheng; Haas, Harald

doi:10.1109/vtcfall.2018.8690694

Cited by 14 publications

(11 citation statements)

References 26 publications

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“…A HLWNet containing 4 WiFi APs and 16 LiFi APs is considered. The nearest LiFi APs are separated at a distance of 2.5 m. The height between the user and the LiFi APs is 3 m. The average overhead of HHO is about 200 ms in wireless local area networks (WLANs), while the average overhead of VHO is set to be 500 ms [13]. Other parameters are summarised in Table I.…”

Section: Simulation Resultsmentioning

confidence: 99%

A Novel Handover Scheme for Hybrid LiFi and WiFi Networks

O’Brien

2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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Combining the high transmission speed of light fidelity (LiFi) and the ubiquitous coverage of wireless fidelity (WiFi), hybrid LiFi and WiFi network (HLWNet) has attracted intensive research interest. While such a network can boost the system capacity, it faces a challenging issue in handover since the coverage areas of LiFi and WiFi completely overlap each other. Also, LiFi has a relatively short coverage range from a single access point (AP). As a result, HLWNets are susceptible to frequent handovers, in terms of both handovers between LiFi and WiFi and handovers between two LiFi APs. Therefore handover skipping was introduced, which enables handovers between two non-adjacent APs. Conventional handover skipping schemes rely on knowledge about the user's trajectory, and are difficult to implement in practice. Alternatively, the rate of change in reference signal received power (RSRP) can be used to reflect the user's moving direction. Based on this, an adaptive handover scheme is proposed in this paper, which varies the user's network preference according to the user's speed. Results show that in comparison with the standard and trajectory-based schemes, the proposed approach can improve user throughput by up to about 120% and 30%, respectively.

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Section: Simulation Resultsmentioning

confidence: 99%

A Novel Handover Scheme for Hybrid LiFi and WiFi Networks

O’Brien

2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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“…The problems such as load balancing, mobility management, light path blockage, and interference management in HLWNets are mainly connected with the problem of handover management. Some recent studies have proposed the handover mechanisms considering either of the problems in HLWNets in [31][32][33][34][35][36][37][38][39]. In [31], the authors have presented a method for addressing mobility and LoS challenges faced by users in HLWNets.…”

Section: A State-of-art Methodsmentioning

confidence: 99%

MOHAN: Multi-Objective Handover for hybrid (LiFi-WiFi) Application-based Networks

Satarkar

Chowdhary

2022

Preprint

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Recently the hybrid networks using the Light Fidelity (LiFi) and Wireless Fidelity (WiFi) have received significant attention due to their advantages of higher data rate. Such networks form the Hybrid LiFi-WiFi Networks (HLWNets). As the design and implementation of HLWNets are still in their early stages, it faces several problems. The vertical/horizontal handovers process becomes a challenging task in HLWNets due to the frequent mobility of the users, short coverage range of Access Point (AP), overlapping coverage regions of different networks (WiFi and LiWi). Designing efficient handover policies for HLWNets needs to address the multiple challenges like reducing handover frequency, mitigating the shadow/light path blockage, reducing communication delay/jitter, interference management, and data loss reduction. According to current research, there is a lack of a multi-objective handover mechanism for HLWNets. To end this, we propose a novel Multi-Objective Handover for hybrid Application-based Networks, i.e., HLWNets (MOHAN). The MOHAN protocol mainly addresses the two challenges shadow effect and interference management while performing the handovers. The MOHAN protocol performs handover initialization, target AP selection, and handover execution. During the periodic handover initialization phase, the proposed technique conquers both horizontal and vertical handovers, resulting in effective interference control in the network. The handover initialization phase decides the type of handover using the user mobility and received signal power to mitigate the shadow effects and interferences. In the target AP selection phase of vertical/horizontal, QoS-aware algorithms are designed to reduce the data loss, handover frequency, and interferences. The experimental results show the efficiency of the proposed MOHAN protocol using different network conditions compared to existing methods.

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“…More importantly, LiFi is capable of providing high-speed data transmissions in the range of Gbps [4]. In 1 This paper was presented in part at IEEE VTC Fall 2018 [1]. summary, LiFi is a promising technology to meet the future demand for high data rates in wireless communications.…”

Section: Introductionmentioning

confidence: 99%

“…Time-division multiple accessing (TDMA) is used to enable one AP to serve multiple users, whereas each user can only be assigned to one AP. Interested readers are referred to [1] for channel modelling and parameter settings.…”

Section: Introductionmentioning

confidence: 99%

Load Balancing for Hybrid LiFi and WiFi Networks: To Tackle User Mobility and Light-Path Blockage

Haas

2020

IEEE Trans. Commun.

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Combining the high-speed data transmission of light fidelity (LiFi) and the ubiquitous coverage of wireless fidelity (WiFi), hybrid LiFi and WiFi networks (HLWNets) are recently proposed to improve the system capacity of indoor wireless communications. Meanwhile, load balancing becomes a challenging issue due to a complete overlap between the coverage areas of LiFi and WiFi. User mobility and light-path blockages further complicate the process of load balancing, since the decision for a horizontal or a vertical handover in a mobile environment with ultra-small cells is non-trivial. These issues are managed separately in most conventional methods, which might cause frequent handovers and compromise throughput. A few studies address these issues jointly for selecting access points at each time instant but require excessive computational complexity. In this paper, a joint optimisation problem is formulated to determine a network-level selection for each user over a period of time. A novel algorithm based on fuzzy logic is also proposed to reduce the computational complexity that is required to solve the optimisation problem. Results show that compared to the conventional method, the proposed approach can improve system throughput by up to 68%, while achieving very low computational complexity. Index Terms-Light fidelity (LiFi), hybrid network, load balancing, user mobility, light-path blockage

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Mobility Management for Hybrid LiFi and WiFi Networks in the Presence of Light-Path Blockage

Cited by 14 publications

References 26 publications

A Novel Handover Scheme for Hybrid LiFi and WiFi Networks

A Novel Handover Scheme for Hybrid LiFi and WiFi Networks

MOHAN: Multi-Objective Handover for hybrid (LiFi-WiFi) Application-based Networks

Load Balancing for Hybrid LiFi and WiFi Networks: To Tackle User Mobility and Light-Path Blockage

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