Validation of Improved Dynamic Spectrum and Traffic Management Models of Internet Pricing of Fair DSL-LTE Multiple QoS Network
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Keywords:
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C-RAN, Dynamic Spectrum, Traffic Management, Sensitivity Analysis, Constant of Elasticity Substitution
Abstract
Currently, the development of communication technology is very rapid, especially on the internet. Therefore, with the increasing need for the internet, the quality of service must also be improved. This study aims to analyze the sensitivity of the internet pricing scheme model using the modified Cloud Radio Access Network (C-RAN) model with the addition of the fair network traffic management variable and combined with the Constant Elasticity of Substitution (CES) utility function. C-RAN is a centralized radio access network to process signals and send them to the core network where the equipment used is connected to cellular antennas. The improved C-RAN model is modified into 2 cases, each of which has 3 pricing schemes, namely flat-fee, usage-based and two-part tariff, with the provision of initial usage and a predetermined amount of bandwidth consumption. This research data is secondary data obtained from the local server of local server traffic data in Palembang. Based on the analysis that has been done, the results of this study indicate that the improved C-RAN model can be utilized by Internet Service Providers (ISPs) to increase profits. The results of the sensitivity analysis for the improved model show that, if the variable is infinity, the increase and decrease are not fixed, whereas if the variable is 0.000 then the increase and decrease are fixed.
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Tsiaflakis, P., Y. Yi, M. Chiang, and M. Moonen (2012). Throughput And Delay Performance Of DSL Broadband Access With Cross-Layer Dynamic Spectrum Management. IEEE Transactions on Communications, 60(9); 2700–2711
Wu, S. Y. and R. Banker (2010). Best Pricing Strategy For Information Services. Journal of the Association for Information Systems, 11(6); 339-336
Wu, H., Liu, L., Zhang, X., & Ma, H. (2016). Quality Of Video Oriented Pricing Incentive For Mobile Video Offloading. In IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 1-9
Belghith, A., S. Trabelsi, and B. Cousin (2014). Realistic Per- Category Pricing Schemes for LTE Users. In 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 429–435
Bhattacharya, P. (2017). A Growth Framework Using the Constant Elasticity of Substitution Model. Journal of Applied Mathematics and Physics, 5(11); 2183
Cheng, M. (2019). A Grey CES Production Function Model and Its Application in Calculating The Contribution Rate Of Economic Growth Factors. Complexity, 2019(1);1-10.
Cunningham, K. and L. Schrage (2004). The Lingo Alge- braic Modeling Language Chapter 6. Applied Optimization: Springer, 159–171
Indrawati, I., S. Erlita, I. Nadeak (2017). Optimasi Model Cloud Radio Access Network (C-RAN) pada Efisiensi Kon-sumsi Bandwidth dalam Jaringan. Annual Research Seminar,
3(1);117–120
Indrawati, I., Puspita, F. M., Silaen, B. O. M., Yuliza, E., &
Dwipurwani, O. (2020). Selfish User Network Optimization With Celluler Network Traffic Management Model Using Lingo 13.0. Science and Technology Indonesia, 5(2);53-58
Indrawati, Puspita, F. M., Yuliza, E., Dwipurwani, O., Putri, Y. E., & Affriyanti. (2019). Improved Cloud Computing Model Of Internet Pricing Schemes Based On Cobb-Douglas Util- ity Function. Journal of Physics: Conference Series, 1282(1); 012003
Iosifidis, G., L. Gao, J. Huang, and L. Tassiulas (2017). Efficient and Fair Collaborative Mobile Internet Access. IEEE/ACM Transactions on Networking, 25(3); 1386–1400
Li, Y., T. Zhou, Y. Yang, H. Hu, and M. Hamalainen (2016). Fair Downlink Traffic Management for Hybrid LAA- LTE/Wi-Fi Networks. IEEE Access, 5; 7031–7041
Menth, M. and N. Zeitler (2016). Activity-Based Congestion Management for Fair Bandwidth Sharing In Trusted Packet Net- works. IEEE/IFIP Network Operations and Management Symposium, 231–239
Montoya, J., A. Sethi, and N. G. Gómez (2018). A Load-Based And Fair Radio Access Network Selection Strategy with Traffic Offloading In Heterogeneous Networks. In 018 7th International Conference on Computers Communications and Control (ICCCC), 2169-3536
Nurajizah, S., N. A. Ambarwati, and S. Muryani (2020). Sistem Pendukung Keputusan Pemilihan Internet Service Provider Terbaik Dengan Metode Analytical Hierarchy Process. Ju- rnal Teknologi dan Sistem Informasi, 6(3); 231–238. (in In- donesia)
Peng, M., Y. Li, J. Jiang, J. Li, and C. Wang (2014). Heteroge- neous Cloud Radio Access Network; A New Perspective For Enhancing Spectral And Energy Efficiencies. IEEE Wireless Communications, 21(6); 126–135
Puspita, F. M., K. Seman, and B. M. Taib (2015). The Im- proved Models Of Internet Pricing Scheme Of Multi Service Multi Link Networks With Various Capacity Links. In In Lecture Notes in Electrical Engineering, 315; 851–862
Puspita, F. M., A. Wulandari, E. Yuliza, R. Sitepu, and Y. Yunita (2021). End-to-End Delay QoS Attribute-Based Bundling Strategy of Wireless Improved Reverse Charging Network Pricing Model. Science and Technology Indonesia, 6(1); 30–38
Puspita, F. M., E. Yuliza, O. Dwipurwani, Y. E. Putri, et al. (2019). Improved Cloud Computing Model Of Internet Pricing Schemes Based On Cobb-Douglas Utility Function. In Journal of Physics: Conference Series, 1282;012003
Puspita, F. M., E. Yuliza, W. Herlina, Y. Yunita, and R. Ro- hania (2020). Improved Multi Service-Reverse Charging Models for the Multi Link Internet wireless Using QOS Bit Error Rate QoS Attribute. Science and Technology Indonesia, 5(1); 6–13
Quaas, M. F., S. Baumgärtner, M. A. Drupp, and J. N. Meya (2020). ntertemporal Utility With Heterogeneous Goods And Constant Elasticity Of Substitution. Economics Letters, 191; 109092
Romdhoni, A. H., M. Wahyuddin, and A. Riyardi (2015). Analisis Fungsi Produksi Frontier Constant Elasticity Sub- stitution Industri Makanan Hingga Pakaian Jadi Di Provinsi Jawa Tengah. University Research Colooquium, ISSN 2407- 9189; 1-15. (in Indonesia)
Sasidhar, T., V. Havisha, S. Koushik, M. Deep, and V. K. Reddy (2016). Load Balancing Techniques for Efficient Traffic Management in Cloud Environment. International Journal of Electrical & Computer Engineering, 6(3); 963–973
Sitepu, R., F. M. Puspita, E. Kurniadi, S. Apriliyani, et al. (2019). Mixed Integer Nonlinear Programming (MINLP)- Based Bandwidth Utility Function On Internet Pricing Scheme With Monitoring And Marginal Cost. International Journal of Electrical & Computer Engineering, 9(2);1-10
Stechlinski, P., J. Jäschke, and P. I. Barton (2019). Gener- alized Sensitivity Analysis Of Nonlinear Programs Using A Sequence Of Quadratic Programs. Optimization, 68(2); 485–508
Stechlinski, P., K. A. Khan, and P. I. Barton (2018). Gener- alized Sensitivity Analysis Of Nonlinear Programs. SIAM Journal on Optimization, 28(1); 272–301
Tsiaflakis, P., Y. Yi, M. Chiang, and M. Moonen (2012). Throughput And Delay Performance Of DSL Broadband Access With Cross-Layer Dynamic Spectrum Management. IEEE Transactions on Communications, 60(9); 2700–2711
Wu, S. Y. and R. Banker (2010). Best Pricing Strategy For Information Services. Journal of the Association for Information Systems, 11(6); 339-336
Wu, H., Liu, L., Zhang, X., & Ma, H. (2016). Quality Of Video Oriented Pricing Incentive For Mobile Video Offloading. In IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 1-9
Authors
Puspita, F. M., Arda, S., Sitepu, R., Yunita, Yuliza, E., Oktarina, S., & Yahdin, S. (2022). Validation of Improved Dynamic Spectrum and Traffic Management Models of Internet Pricing of Fair DSL-LTE Multiple QoS Network. Science and Technology Indonesia, 7(1), 49–57. https://doi.org/10.26554/sti.2022.7.1.49-57
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