This paper proposes a novel solution to the dynamic channel allocation problem in cellular
telecommunication networks featuring user mobility and call handoffs. We investigate the …

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

This paper presents a distributed reinforcement learning solution to the problem of dynamic
channel allocation for cellular telecommunication networks in the presence of mobile call …

This paper presents a reduced-state reinforcement learning solution to the dynamic channel
allocation problem in cellular telecommunication networks featuring mobile traffic and call …

This paper deals with the problem of channel assignment in mobile communication systems.
In particular, we propose an alternative approach to solving the dynamic channel …

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 …

One of the fundamental issues in the operation of a mobile communication system is the
assignment of channels to cells and to calls. This paper presents a novel approach to …

This paper introduces novel reinforcement learning agent-based solutions to the problems
of call admission control (CAC) and dynamic channel allocation (DCA) in multi-cellular …

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 …

We investigate dynamic channel assignment (DCA) in mobile communications systems
using genetic algorithms (GA). Two new strategies using GA are proposed. In the first …