Skripsi
MODEL C-RAN SELFISH USER BERBASIS DEMAND RESPONSE DENGAN INSENTIF HETEROGEN DAN SKEMA BUNDLING TERHADAP FUNGSI UTILITAS BANDWIDTH
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 parameter values that may affect the optimal solution. The data used consist of traffic data (inbound and outbound), which are divided into two sessions: peak hours (07.00 AM – 05.00 PM) and off-peak hours (05.01 PM – 06.59 PM). In this study, two models are developed, namely a C-RAN selfish user model based on demand response with heterogeneous incentives and a bandwidth utility function (Model I), and a C-RAN selfish user model based on demand response with heterogeneous incentives, a bandwidth utility function, and a bundling scheme (Model II). Both models are divided into four cases with different parameters and variables based on three types of pricing schemes: usage-based, two-part tariff, and flat fee. The model computations are solved using LINGO 13.0 software. The optimization results show that the best solution is achieved by Model II with a flat fee pricing scheme in Case 1, yielding an objective value of 1821.31/kbyte with an infeasibility of 1.11022\times10⁻¹⁶, obtained through 112 iterations and zero computation time. The superiority of Model II is attributed to the implementation of the bundling scheme, which improves the efficiency of bandwidth utilization and results in a more optimal utility function value compared to Model I.
No other version available