Accepted Posters for Spotlight Talks
Multi-Agent Reinforcement Learning in Coordinated Multi-Point (CoMP) Technologies within Mobile Networks
Alberto Castro, Shaharyar Kamal, César Azurdia M
Abstract: Improve resource management by dynamically selecting cells based on user behavior and network conditions. The research highlights the importance of self-learning algorithms and their role in real-time decision making, addressing the limitations of traditional techniques.
Design and Evaluation of CCA for fluctuating bandwidth scenarios of 5G-A/6G mobile networks
Jorge Ignacio Sandoval, Sandra Céspedes
Abstract: The requirements of the new services point to bandwidth-demanding and delay-sensitive applications, through the use of high frequency bands and mobility that require constant adaptation to the conditions of the medium to cope with interference and losses, resulting in the use of low-order modulation schemes and retry schemes to protect the information sent, leading to a scenario of high fluctuations in bandwidth and delay, causing congestion and affecting the performance of upper layer protocols and their applications. The objective of this work is to investigate the impact of AQM within RLC buffers in gNB on video streaming over state-of-the-art CCA.
Evaluating data transmission through VLC/OCC systems applied to mobile devices
Fernando Vergara, Pablo Palacios Játiva, Miguel Gutiérrez Gaitán
Abstract: This work develops a data transmission system using visible light communication (VLC) and optical camera communication (OCC) with mobile devices. The transmitter, created in Flutter, uses four color channels (cyan, magenta, yellow, and red) to enhance detection by the receiver. A preamble provides synchronization between the transmitter and receiver, while the receiver, developed in Python using OpenCV, captures and processes illuminance signals to decode transmitted data. Tests included continuous data transmission with synchronization mechanisms and a guard time for resynchronization, avoiding collisions and improving reliability. Results show that the system transmits data effectively, with potential for future improvements such as higher transmission speeds by optimizing bit intervals and error correction mechanisms to ensure data integrity in high-interference environments. The system demonstrates an efficient approach to data transmission using VLC, offering flexibility for various applications where traditional wireless communication may be infeasible. Its adaptable design makes it a promising solution for future optical communication technologies.
Design and Implementation of a Compute-Efficient Event-Based 2D MIMO OCC system
Fernanda Borja, Jaime Aranda, César Azurdia
Abstract: With the growing demand for wireless communications and the capacity of radio frequencies nearing its limit, Optical Camera Communications (OCC) present a cost-effective and scalable solution to complement existing systems. As the world moves toward 6G networks and the proliferation of IoT devices, OCC offers a promising alternative for short-range, high-density communication scenarios. However, OCC systems face challenges such as low data rates and restrictive operational parameters. To address these limitations, this study explores the use of event cameras, a recently developed sensor technology with high sampling rates and adaptability to illumination changes as receivers in OCC systems. The system employs a LED array configured as a MIMO transmitter, utilizing N-pulse modulation and varying modulation complexities. Experimental results demonstrate bit error rate (BER) in magnitudes around 10^-3 at certain distances and a maximum data rate of 810 bps, indicating the potential for reliable performance in less restrictive environments. These findings suggest that OCC systems, enhanced by event cameras, could play a significant role in future 6G networks and IoT applications, bringing us closer to the widespread adoption of OCC in everyday communication systems.
Optimizing Optical Modulation with HSSK for IoT B5G Applications
Jonas Peñailillo, César Azurdia, Vicente Matus
Abstract: Optical Camera Communication (OCC) is a promising alternative to RF-based communication, leveraging LEDs and cameras for low-cost, energy-efficient data transmission. As Beyond 5G (B5G) networks face increasing spectrum congestion, OCC offers a complementary solution by offloading certain short-range communication tasks from RF to optical channels. However, traditional OCC schemes like Color Shift Keying (CSK) in the CIE 1931 color space face limitations with RGB LEDs, as some colors cannot be accurately reproduced, and many implementations require high-speed, semi-professional cameras, restricting practical deployment. This work introduces Hue-Saturation Shift Keying (HSSK), an alternative to APSK-CSK, optimized for commercial smartphone cameras recording at 60 FPS. Instead of using CIE 1931, HSSK modulates data in the HSV color space, adjusting hue and saturation while maintaining uniform brightness, enabling reliable symbol detection without adaptive Region of Interest (ROI) tracking. A prototype system, tested at 5 meters, demonstrated that OCC can be implemented in a cost-effective manner, achieving 100 bps with low power consumption (<0.5 W). This research highlights the feasibility of affordable OCC for IoT, reducing RF spectrum usage and enabling machine-to-machine (M2M) communication in Beyond 5G networks. Future work will focus on optimizing synchronization and evaluating performance at higher transmission speeds and longer distances.