This paper provides new bounds related to the global optimization of the pr
oblem of mixed routing and bandwidth allocation in telecommunication system
s. The combinatorial nature of the problem, related to are expansion decisi
ons, is embedded in a continuous objective function that encompasses conges
tion and investment line costs. It results in a non-convex multicommodity f
low problem, but we explore the separability of the objective function and
the fact that each associated are cost function is piecewise-convex. Convex
ifying each are cost function enables the use of efficient algorithms for c
onvex multicommodity flow problems, and we show how to calculate sharp boun
ds for the approximated solutions. (C) 2000 Elsevier Science B.V. All right
s reserved.