To achieve improved communication and illumination performances of a multi-cell indoor visible light communication system, the selection of transmitter configuration and receiver's field of view (FoV) play a critical role. Based on multiple criteria decision modeling, a design-centric methodology is proposed in this paper to determine the optimal transmitter configuration and receiver's FoV under lighting constraints. These optimal parameter selections are instrumental to obtain a highly uncorrelated channel, thus significantly mitigate both co-channel interference from the neighboring transmitter and intersymbol interference due to multipath reflection. The implication for the optimum selection is explored using two communication and two lighting (E_avg, U_O) performance indicating metrics. For a typical indoor scenario, three different transmitter arrangements with varying half-power beam-width are considered as alternatives. Furthermore, the signal to interference plus noise ratio (SINR) is tested over the communication floor (CF) by a simple receiver structure with a single photodiode. Incorporating the optimal transmitter configuration and receiver's FoV, 36.13 dB average SINR and 345 lx average horizontal illuminance is achieved. Analytically obtained SINR is also validated using a commercial ray tracing optical software for different positions over the CF. In comparison with the state of the art non-optimal and sub-optimal solutions, the proposed scheme, without real-time computational complexity exhibits noteworthy improvement in SINR performance at expense of a trivial drop in overall uniformity of horizontal illuminance.

中文翻译：

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多小区室内可见光通信系统信干噪比通过优化参数选择满足光照约束的改进

为了提高多单元室内可见光通信系统的通信和照明性能，发射器配置和接收器视场 (FoV) 的选择起着至关重要的作用。基于多准则决策建模，本文提出了一种以设计为中心的方法，以确定在光照约束下的最佳发射机配置和接收机的 FoV。这些最佳参数选择有助于获得高度不相关的信道，从而显着减轻来自相邻发射机的同信道干扰和由于多径反射引起的符号间干扰。使用两个通信和两个照明（E _avg ,  U _O) 性能指示指标。对于典型的室内场景，具有不同半功率波束宽度的三种不同发射器布置被视为备选方案。此外，通过带有单个光电二极管的简单接收器结构，在通信本底 (CF) 上测试信干噪比 (SINR)。结合最佳发射器配置和接收器的 FoV，实现了 36.13 dB 平均 SINR 和 345 lx 平均水平照度。分析获得的 SINR 也使用商用光线追踪光学软件在 CF 上的不同位置进行验证。与现有技术的非最优和次优解决方案相比，所提出的方案，