This model creates two full coverage layers while minimizing the deployment cost, and guaranteeing a minimal separation distance between two access points (APs) to prevent APs that cover the same region from being simultaneously shadowed by an obstacle.
For instance, an ABC minimizing the deployment memory or energy consumption can be implemented without modifying the task scheduling heuristics.
In that case, the network designer aims to deploy sufficient SNs to achieve a minimum level of network reliability while minimizing the number of deployed SNs, i.e., minimizing the deployment cost.
CMRP encapsulates the cross-layer metrics into three underlying attributes: Local Coverage (LC), Backbone Residual Capacity (BRC), and Deployment Cost (DC), and are used to minimize the network deployment cost.
We formulate the RSTO problem to minimize the total deployment cost of the C-RAN network.
The objective is to minimize the infrastructure deployment cost of the whole C-RAN network.
The goal of the objective function Eq. (12) is to minimize the total deployment cost of VMs among multiple-cloud providers.
Equation (1.1) is to minimize the total deployment cost of the C-RAN network, including the cost of fibers, the cost of RRUs, and the cost of OADMs.
These performance measures can be valuable tools for designers of parallel multiprocessor systems and networks, in order to minimize the overall deployment costs and help deliver efficient systems.
