Integrated planning and capacity management of survivable DS-CDMA networks

In this paper, we jointly investigate both planning and survivability problems for DS-CDMA networks, which is modeled as a mathematical optimization formulation in terms of deploying cost minimization. We apply Lagrangean relaxation as a solution approach. Based on computational experiments, the proposed algorithm is calculated with much more improvements than other primal heuristic. This paper concludes that survivability is a time-consuming and expensive factor. For more efficiency, it is suggested that in the stage of network planning, the planning of normal condition (without considering failure states) is appropriate. A new model considering survivability and performance management can be developed when it is needed.