Abstract
This paper studies the secrecy performance of light-fidelity (LiFi) networks under the consideration of random device orientation and partial knowledge of the eavesdroppers’ channel state information. Particularly, the secrecy capacity and secrecy outage probability are analysed for the case of a single eavesdropper as well as for the case of multiple eavesdroppers. Moreover, a machine learning based access point (AP) selection algorithm is presented with the objective of maximising the secrecy capacity of legitimate users. Our results show that optimising the AP selection while taking into account the random behaviour of the optical channel results in a significant enhancement in the achievable secrecy performance. In fact, using the derived realistic secrecy expressions as the basis for AP selection results in up to 30% secrecy capacity enhancement compared to the limited assumption of fixed orientation.
Highlights
As a promising 5G enabler, optical wireless communication (OWC) networks allow the use of a huge unregulated spectrum, which includes infrared (IR) and visible light, for the purpose of wireless data communications
This is due to the natural distinctions in OWC systems which can be summarised as follows: 1) the transmitted signal in OWC is required to be real and positive in order to allow for intensity modulation at the light-emitting diodes (LEDs), 2) the limited dynamic range of the LEDs imposes a peak-power constraint on the channel input, this implies that the information bearing signal is bounded and the capacity achieving input distribution can not be Gaussian, and 3) the optical channel gain is not subject to fading characteristics such as RF channels but rather dependant on the user behaviour statistics such as the location and orientation of the device [3]
The presented secrecy outage probability results indicate the upper bound on the outage probability, i.e. outage occurs when the secrecy capacity, calculated by means of the lower bound, falls below a certain threshold value
Summary
As a promising 5G enabler, optical wireless communication (OWC) networks allow the use of a huge unregulated spectrum, which includes infrared (IR) and visible light, for the purpose of wireless data communications. It is not straightforward to directly develop the PLS solutions used in RF systems for OWC systems This is due to the natural distinctions in OWC systems which can be summarised as follows: 1) the transmitted signal in OWC is required to be real and positive in order to allow for intensity modulation at the light-emitting diodes (LEDs), 2) the limited dynamic range of the LEDs imposes a peak-power constraint on the channel input, this implies that the information bearing signal is bounded and the capacity achieving input distribution can not be Gaussian, and 3) the optical channel gain is not subject to fading characteristics such as RF channels but rather dependant on the user behaviour statistics such as the location and orientation of the device [3].
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