Treffer: Transmission Energy Minimization in Massive-Access URLLC Networks ; Minimización de la Energía de Transmisión en Redes URLLC con Acceso Masivo ; Minimització de l'Energia de Transmissió en Xarxes URLLC amb Accés Massiu

This thesis examines an algorithm designed to minimize transmission energy in multi-user ultra-reliable low-latency communication (URLLC) scenarios. The data transmission uses finite blocklength (FBL) codes and time division multiple access (TDMA) strategy, in which different users are served in separate time slots to ensure efficient communication. The main objective of this project is to minimize the transmission energy in scenarios under latency and reliability constraints. We approach the problem by determining the optimal power under a given error probability threshold and power control limit by adopting bisectional searching method. Additionally, the data amount to be transmitted in the communication is assumed to be known for each user. To solve the problem and optimize blocklength allocation and power, convexity is needed for an efficient solution. The ellipsoid method is used in the simulation process to minimize this convex optimization problem. Simulation results validate the optimality of our proposed algorithm and depict the variation of transmission energy with respect to requirement parameters such as total blocklength and error probability thresholds, as well as environmental conditions like noise levels in different simulated network scenarios. In addition, an extension of the work is added. We define the optimization problem with individual latency constraints for each of the users in the network and analyze the blocklength allocation problem to minimize the transmission energy under the new requirements. The simulation results compare the personalized latency-constrained scenario to the previous one, analyzing the variation in energy consumption in transmission with respect to total blocklength, error probability thresholds, and the individual blocklength limits. ; Esta tesis examina un algoritmo diseñado para minimizar la energía de transmisión en escenarios de comunicación ultra-fiable y de baja latencia (URLLC) con múltiples usuarios. La transmisión de datos utiliza códigos de longitud ...