Simultaneity in discrete-time single server queues with Bernoulli inputs
Performance Evaluation
Learning in the recurrent random neural network
Neural Computation
G-networks with multiple classes of negative and positive customers
Theoretical Computer Science
Traffic and video quality with adaptive neural compression
Multimedia Systems - Special issue on multimedia networking
Discrete-Time Models for Communication Systems Including ATM
Discrete-Time Models for Communication Systems Including ATM
Performance Evaluation
The discrete-time Geo/Geo/1 queue with negative customers and disasters
Computers and Operations Research
Video quality and traffic QoS in learning-based subsampled and receiver-interpolated video sequences
IEEE Journal on Selected Areas in Communications
Learning in the multiple class random neural network
IEEE Transactions on Neural Networks
Computers and Industrial Engineering
A discrete-time retrial queue with negative customers and unreliable server
Computers and Industrial Engineering
A queueing system with negative claims and a bunker for superseded claims in discrete time
Automation and Remote Control
Performance Analysis of a Block-Structured Discrete-Time Retrial Queue with State-Dependent Arrivals
Discrete Event Dynamic Systems
An initiative for a classified bibliography on G-networks
Performance Evaluation
A discrete-time on-off source queueing system with negative customers
Computers and Industrial Engineering
Bibliography on G-networks, negative customers and applications
Mathematical and Computer Modelling: An International Journal
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Negative arrivals are used as a control mechanism in many telecommunication and computer networks. This paper analyses a discrete-time single-server queue with geometrical arrivals of both positive and negative customers. We consider both the cases where negative customers remove positive customers from the front and the end of the queue and, in the latter case, the two sub-cases in which a customer currently being served can and cannot be killed by a negative customer. Thus, we carry out a complete study of these systems, including the ergodicity condition as well as exact formulae for the associated stationary distribution. The effect of several parameters on the systems is shown numerically.