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MODEL IMPROVED C-RAN FAIR NETWORK BERBASIS DEMAND RESPONSE DAN INSENTIF HETEROGEN DENGAN FUNGSI UTILITAS QUASI-LINEAR DAN BUNDLING
This study aims to formulate an improved C-RAN model for three financing schemes with a fair network approach based on demand response and heterogeneous incentives using quasi-linear utility functions and bundling and user problem optimization on bandwidth usage. In addition, sensitivity analysis is conducted to understand the fluctuation of variable values and parameters that can affect the optimal solution. The data used is traffic data, which consists of inbound and outbound data. The data is then divided into 2 sessions, namely data during peak hours starting from 07.00-18.59 WIB and data during off-peak hours starting from 19.00-06.59 WIB. This study formulates an improved C-RAN model (model I) and an improved C-RAN model with additional bundling (model II) which is divided into four cases where each case has unequal parameters and variables based on three financing schemes, namely flat-fee, usage-based, and two-part tariff. With the help of LINGO.13, 24 models were obtained. The most optimal solution is obtained from the bundling model with a flat fee internet financing scheme in case 1 of Rp.7,908.783/kbyte and infeasibility of 0 which is processed as many as 141 iterations for 0 seconds. Based on the comparison of optimal solutions, it can be concluded that model II is more optimal than model I.
Inventory Code | Barcode | Call Number | Location | Status |
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2507001016 | T166891 | T1668912025 | Central Library (Reference) | Available but not for loan - Not for Loan |
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