This research discusses the development of an improved C-RAN model based on Demand Response (DR) and heterogeneous incentives by integrating an indirect utility function and a bundling scheme to produce a more adaptive pricing mechanism. Additional parameters such as bandwidth, inbound – outbound traffic, and multiple service classes are included to strengthen the model formulation. The model…
This study aims to design a formulation of a C-RAN selfish user model based on demand response with heterogeneous incentives combined with a bundling scheme in the bandwidth utility function. This approach is employed to analyze user behavior and determine optimal solutions for bandwidth consumption management. In addition, sensitivity analysis is conducted to examine changes in variable and pa…
This study aims to formulate an improved C-RAN and IRC model using a fair-network approach based on demand response and heterogeneous incentives, incorporating an exponential utility function, bundling schemes, and user-side optimization of bandwidth usage. In addition, sensitivity analysis is conducted to identify fluctuations in variables and parameters that may affect the optimal solution. T…