MIMO characterization of indoor wireless optical link using a diffuse-transmission configuration

Abstract

Performance of a diffuse optical link may potentially be degraded by temporal dispersions resulting from surface reflections. In order to devise techniques to alleviate the adverse effect of dispersion, an accurate channel model is needed. Obtaining the impulse response (IR) for a given receiver location requires not only consideration of direct path, but also reflections up to nth order. The IR is only valid for a specific location and specific receiver parameters. If a receiver moves, IR has to be recalculated. In this paper, we propose a new approach for characterizing diffuse links that both results in a tremendous saving in calculations and gives more insight on the channel characteristics. The new approach is based on consolidating the dependence of receiver parameters, transmitter parameters, and indoor environment into independent components. Thus, changing one of the parameters of the link requires recalculation of one of these components. The new model is utilized to obtain an accurate profile of delay spread and received power throughout a room.

A review of communication-oriented optical wireless systems

“…The impulse response is calculated from the individual reflections of walls and objects inside the room and there is an array of methods in the literature to compute the impulse response in optical intensity domain for a typical room layout. These methods include ray tracing [89,90], experimental measurements [28,91,92], simplified functional modeling [93,94], photon tracing [95] and Monte Carlo ray tracing methods [96][97][98][99]. While specular reflections are possible, the vast majority of reflections are diffuse since the dimensions of the surface roughness is on the order of the wavelength of light used in the link [95].…”

Analysis of the LED Lamp Arrangement for Uniformity of Illumination in Indoor VLC System

“…Assume that the number of the lighting sources, the receivers and the reflective units are t, r and n, respectively. According to the MIMO system model, the illumination on the receiving plane can be expressed as [18] ( )…”

Channel Simulation of Non-imaging Optical MIMO Communication

“…Many solutions are proposed in the past several years such as high efficient modulation schemes, RGB multi chip LED modules and so on. Recently, researchers pay more attention to the multiple-input-multiple-output (MIMO) technology which could provide parallel data transmission for the sake of achieving high data rates [4][5][6][7][8]. Many works are also done to explore the channel capacity.…”