Necessary optimality conditions for Call Admission Control (CAC) problems with nonlinearly-constrained feasibility regions and two classes of users are derived. The policies are restricted to the class of coordinate-convex policies. Two kinds of structural properties of the optimal policies and their robustness with respect to changes of the feasibility region are investigated: 1) general properties not depending on the revenue ratio associated with the two classes of users and 2) more specific properties depending on such a ratio. The results allow one to narrow the search for the optimal policies to a suitable subset of the set of coordinate-convex policies
The merging of telephone and computer networks is introducing multiple resources into networks, and ...
The cardinality constrained optimization problem (CCOP) is an optimization problem where the maximum...
UnrestrictedOur research results are in the field of call or connection admission control (CAC) for ...
Necessary optimality conditions for Call Admission Control (CAC) problems with nonlinearly-constrain...
Optimality conditions for Call Admission Control (CAC) problems with nonlinearly constrained feasibi...
Two criteria are proposed to characterize and improve suboptimal coordinate-convex (c.c.) policies i...
We derive optimality conditions for Coordinate-Convex (CC) policies in Call Admission Control with K...
A simple criterion is proposed to improve suboptimal coordinate-convex policies in Call Admission Co...
A simple criterion is proposed to improve suboptimal coordinate-convex policies in Call Admission Co...
Call admission control with two classes of users is investigated via a nonlinear stochastic knapsack...
We investigate a nonlinear stochastic knapsack problem with application in Call Admission Control (C...
Many communications and networking systems can be modelled as resource-sharing systems with multiple...
There exist various generalizations and stochastic variants of the NP-hard 0/1 knapsack problem [1,2...
Nonlinear constrained optimization problems can be used to model practical and theoretical questions...
We study convex optimization problems with side constraints in a multi-class M/G/1M/G/1 queue with...
The merging of telephone and computer networks is introducing multiple resources into networks, and ...
The cardinality constrained optimization problem (CCOP) is an optimization problem where the maximum...
UnrestrictedOur research results are in the field of call or connection admission control (CAC) for ...
Necessary optimality conditions for Call Admission Control (CAC) problems with nonlinearly-constrain...
Optimality conditions for Call Admission Control (CAC) problems with nonlinearly constrained feasibi...
Two criteria are proposed to characterize and improve suboptimal coordinate-convex (c.c.) policies i...
We derive optimality conditions for Coordinate-Convex (CC) policies in Call Admission Control with K...
A simple criterion is proposed to improve suboptimal coordinate-convex policies in Call Admission Co...
A simple criterion is proposed to improve suboptimal coordinate-convex policies in Call Admission Co...
Call admission control with two classes of users is investigated via a nonlinear stochastic knapsack...
We investigate a nonlinear stochastic knapsack problem with application in Call Admission Control (C...
Many communications and networking systems can be modelled as resource-sharing systems with multiple...
There exist various generalizations and stochastic variants of the NP-hard 0/1 knapsack problem [1,2...
Nonlinear constrained optimization problems can be used to model practical and theoretical questions...
We study convex optimization problems with side constraints in a multi-class M/G/1M/G/1 queue with...
The merging of telephone and computer networks is introducing multiple resources into networks, and ...
The cardinality constrained optimization problem (CCOP) is an optimization problem where the maximum...
UnrestrictedOur research results are in the field of call or connection admission control (CAC) for ...