En este artículo se presenta la propuesta de un algoritmo híbrido para la asignación de
espectro en redes de radio cognitiva basado en los algoritmos Analytical Hierarchical …

This paper introduces a reinforcement learning solution to the problem of dynamic channel
allocation for cellular telecommunication networks featuring either uniform or non-uniform …

In contention-based networks, ALOHA and CSMA are the most popular random access
protocols, wherein a station transmits packets after a certain delay according to a particular …

The main challenge in designing a good random access schemes is how to maximize the
channel throughput while improves the fairness of random access channels. In this paper …

The optimization of channel assignment in cellular networks is a very complex optimization
problem and it becomes more difficult when the network handles different classes of traffic …

Resumen SANTANDER, Daniel; CICENIA-CARDENAS, Karin; ASTUDILLO-SALINAS,
Fabián y ARANDA, Juan. Impact of backoff time on cellular IoT performance in massive …

Con objeto de lograr la optimización del sistema móvil celular EDGE, así como mejorar la
eficiencia de la asignación de los recursos, la tesis doctoral se centra en proponer nuevos …

A new scheme to maximize resource utilization in a cellular network while respecting
constraints on handover dropping probability is proposed and analyzed. The constraints are …

We propose a new channel allocation scheme for improving the quality of service in cellular
mobile networks. The proposed algorithm prioritizes handoff call requests over new call …

This article studies the efficiency of backoff algorithms. The fraction of channel time devoted
to successful transmissions is maximized when the stations choose the optimal transmission …