Publication

Abstract : Integrating ultra-reliable low-latency communication (URLLC) with distributed acoustic sensor (DAS) networks offers a transformative approach to earthquake detection and early warning systems. URLLC ensures real-time data transmission with minimal delay and high reliability, which is critical for the timely detection and response to seismic events. Advanced techniques such as sparse vector coding (SVC) and rate splitting multiple access can efficiently handle large volumes of sensor data, optimizing network performance and resource utilization. This chapter explores the synergy between URLLC and DAS technologies, highlighting the potential benefits and addressing the technical challenges. It delves into how URLLC can enhance the reliability and speed of seismic data transmission, thereby improving the precision and responsiveness of earthquake detection systems. Additionally, it examines the scalability of DAS networks when integrated with URLLC, allowing for broader geographical coverage and more comprehensive monitoring. By combining the strengths of URLLC and DAS, this chapter presents a compelling vision for the future of seismic monitoring, emphasizing the potential for significant advancements in public safety and disaster management. The insights guide researchers, engineers, and policymakers in developing and implementing next-generation earthquake detection systems that are both efficient and reliable. In this chapter, an SVC scheme is exploited for DAS information transmission in a sparse manner. Extensive analysis of the performance in terms of block error rate demonstrates that SVC-based transmission offers both reliability and low latency. Additionally, a comparison between the SVC-based DAS information transmission and traditional schemes, such as the Physical Downlink Control Channel and polar codes, reveals that the former outperforms the latter in terms of performance. Through a detailed analysis of integration strategies, this chapter aims to foster the development of advanced seismic monitoring solutions capable of enhancing disaster preparedness and response.