Abstract
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.
Highlights
G LOBAL mobile data traffic will increase sevenfold between 2016 and 2021, reaching 48.3 exabytes per month by the end of 2021, and indoor wireless networks will account for over 80% of the total mobile data traffic [2]
In [9], an access point selection (APS) method based on fuzzy logic was reported, which is able to achieve near-optimal performance at significantly reduced computational complexity
The main contribution of this paper is three-fold: i) a load balancing problem is formulated for hybrid LiFi and WiFi networks (HLWNets) in consideration of both user mobility and light-path blockages; ii) a solution based on fuzzy logic is proposed to significantly reduce the computational complexity that is required to solve the problem; iii) the performance of the proposed method is comprehensively evaluated and compared with the existing related research
Summary
G LOBAL mobile data traffic will increase sevenfold between 2016 and 2021, reaching 48.3 exabytes per month by the end of 2021, and indoor wireless networks will account for over 80% of the total mobile data traffic [2]. LiFi APs have a relatively small coverage area, of approximately 2-3m in diameter [13] This means that even with a moderate speed, mobile users could encounter frequent HHOs if they are served by LiFi. it is imperative to consider mobility management in developing load balancing methods for HLWNets. Not all LiFi users should be granted access to WiFi when light-path blockages occur. Taking user mobility and light-path blockages into account, the issue of load balancing is studied for HLWNets in this paper. The main contribution of this paper is three-fold: i) a load balancing problem is formulated for HLWNets in consideration of both user mobility and light-path blockages; ii) a solution based on fuzzy logic is proposed to significantly. Interested readers are referred to [1] for channel modelling and parameter settings
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