Title :
The role of queue length information in congestion control and resource pricing
Author :
Perkins, James R. ; Srikant, R.
Author_Institution :
Boston Univ., MA, USA
Abstract :
We consider a single-user congestion problem with a packet loss constraint viewed as a stochastic control problem. Using a precise nonlinear model of the queue with a time-varying Markovian service rate, we show that the optimal controller is a bang-bang type solution. Additionally, we show that a stochastic problem with a quality of service (QoS) constraint can also be viewed as an unconstrained stochastic problem where the user is forced to pay a price for QoS violations
Keywords :
Markov processes; bang-bang control; constraint theory; costing; losses; nonlinear control systems; optimal control; packet switching; quality of service; queueing theory; stochastic systems; telecommunication congestion control; QoS violations; bang-bang optimal controller; congestion control; nonlinear model; packet loss constraint; queue length information; resource pricing; service quality constraint; single-user congestion problem; stochastic control; time-varying Markovian service rate; unconstrained stochastic problem; Communication system control; Communication system traffic control; Delay effects; Feedback; Optimal control; Pricing; Quality of service; Stochastic processes; Throughput; Traffic control;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.831338
