## 1 Introduction
For a mobile receiver, when conducting VLP discretely (e.g., using the RSS scheme), the positioning accuracy along the moving trajectory will inevitably deteriorate due to channel variations. To enhance accuracy, reducing the time interval of positioning is necessary. However, this entails transmitting more VLP signals, leading to reduced spectrum efficiency. Some studies address this by utilizing CSI as a feature fingerprint and analyzing it through machine learning [27; 28; 29]. Nevertheless, this approach demands significant data processing and computational power from mobile terminals. It also requires extensive data collection for model training, and any environmental changes necessitate repeating the training steps, which hampers system portability. Hence, new approaches are needed to enhance mobile VLP. In summary, current research on mobile VLC and VLP has limitations, with studies on integrated mobile VLCP still being relatively scarce. In this paper, we propose an integrated mobile VLCP scheme designed for both MISO and MIMO scenarios, leveraging DFCE to efficiently estimate dynamic CSI for both VLC and VLP. The scheme begins with using training symbols to acquire initial CSI at discrete locations. Subsequently, it transitions to a decision feedback mode to continuously track and estimate subsequent CSI as the receiver moves. For the MISO scenario, specific groups of LEDs are selected from multiple LEDs to transmit identical VLC signals simultaneously, ensuring sufficient signal-to-noise ratios (SNRs). These groups of LEDs vary in each time slot within a cycle, allowing for the extraction of CSI related to VLC from multipath channels. This information is then used, via DFCE, to determine the range between each LED and the PD for VLP purposes. For the MIMO scenario, we utilize STBC to enhance the bit error rate (BER) performance. The improved transmission quality contributes to more accurate VLC-based CSI via DFCE, thereby further enhancing positioning accuracy. Our extensive simulations evaluate both communication and positioning performance as the receiver moves through different routes within a 5 m \(\times\) 5 m \(\times\) 3 m indoor space. We analyze the effects of LED transmit power and receiver velocities on communication performance. For positioning accuracy, we investigate the impacts of observation block length, receiver velocities, and other relevant factors. The results indicate that in both MISO and MIMO scenarios, implementing DFCE maintains the BERs between approximately \(10^{-4}\) and \(10^{-2}\) for mobile VLC, while successfully achieving centimeter-level mobile VLP. Note that part of this work was previously presented in our short conference paper [30], which only focused on the MIMO scenario. However, in this expanded study, we conduct a comprehensive investigation covering both MISO and MIMO scenarios, as well as addressing additional issues. The rest of the paper is organized as follows: Section 2 introduces the principle of the proposed integrated mobile VLCP scheme, considering both MISO and MIMO scenarios. Simulation results and discussions are presented in Section 3. Finally, we conclude the paper in Section 4.