Managing Cross-Border Cellular Networks Interference via Game Theorybased Spectrum Sharing
| dc.contributor.advisor | Ephrem, Teshale (PhD) | |
| dc.contributor.author | Seid, Ahmed Endris | |
| dc.date.accessioned | 2018-12-21T09:49:39Z | |
| dc.date.accessioned | 2023-11-04T15:13:06Z | |
| dc.date.available | 2018-12-21T09:49:39Z | |
| dc.date.available | 2023-11-04T15:13:06Z | |
| dc.date.issued | 2018-11-16 | |
| dc.description.abstract | The need for wireless services and high data rate is growing rapidly as a result of development of communication technologies. The challenges for operators to meet this rising demand of high data rates is radio spectrum which is a scarce and expensive resources. This scarcity arises from the exclusive allocation of the available spectrum relatively from the physical scarcity and has inefficiency in bandwidth usage. To improve capacity and Quality of Service (QoS), it is essential to pay closer attention in increasing operational bandwidth. The viable option to increase this operational bandwidth is spectrum sharing between operators. It refers to the common uses of a specific range of spectrum simultaneously by operators operating in the same geographical area. However, the main problem in operating with same frequency bands without coordination causes inter-operator or Cross-Border Interference (CBI). The mitigation techniques currently working for managing this type of interference is the physical and logical parameter optimization which is not effective. In this thesis, an efficient approach of dynamic spectrum sharing among operators is proposed to alleviate this problem. The basic idea is to partition the available spectrum into private and shared frequency bands by exchanging spectrum usage favors from the common pool to minimize interference. We address this issue for two operators’ spectrum sharing operating in the same geographical area. Most of the mathematical models considered all over this thesis are based on the Game theory to model and analyze their competitive interactions. A strategic non-cooperative game is modeled to maximize throughput, where the operators simultaneously share the available spectrum dynamically as per their relative requirement. Finally, based on the simulations, the expected results of the proposed schemes outperforms the existing Fixed Spectrum Access (FSA) schemes under varying load factors. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/15244 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | AAU | en_US |
| dc.subject | Game Theory | en_US |
| dc.subject | Dynamic Spectrum Sharing | en_US |
| dc.subject | Non-cooperative Game | en_US |
| dc.subject | Cross-border Interference | en_US |
| dc.title | Managing Cross-Border Cellular Networks Interference via Game Theorybased Spectrum Sharing | en_US |
| dc.type | Thesis | en_US |