Yuanita, Rosabella Ika (2018) Resource Allocation in LTE-A Network for Machine Type Communications (MTC) over Wi-Fi Spectrum under LAA Framework. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Heterogeneous Network (HetNet) is a combination networks such as macro cell and small cell introduced as LTE-A standard in 3GPP Release 10 to provide higher network capacity and coverage. In multilayer network, macro cell may has much higher transmit power than small cell, and causes small cell users suffer interference with macro cell. The cell-edge users of small cell may use the same radio resources with macro cell users. To cope this interference problem, We propose optimization for resource allocation using Taguchi’s method in scheduling users to achieve higher LTE-A system throughput. Resource allocation has an important part in influencing the communication networks performance to reduces inter-cell interference and improves the system’s throughput. Machine to Machine Communication (M2M) or known as Machine Type Communication (MTC) is a future wireless communication technology will be carried for industry 4.0. In HetNet, we consider some networks such as small cell, macro cell, Wi-Fi and MTC or IoT devices operate in different bands, licensed and unlicensed. Macro cell as the primary cell, while small cell as the secondary cell. 3GPP allows some networks coexistence in the unlicensed band using Listen Before Talk (LBT) access mechanism. We consider FBE-based LBT to possible coexistence among LTE-LAA users, Wi-Fi and IoT devices in our simulation. Through matlab-based simulation, we evaluate the LTE-A system throughput performance of different frequency band and environment, and also compare with other optimization algorithm, such as Genetic Algorithm. As the result, Proportional Fair (PF) is an appropriate scheduler to be used both in licensed and unlicensed than Round Robin (RR) and Blind Equal Throughput (BET) because it achieves higher throughput than other scheduler. We also observed that system throughput of unlicensed band is higher than licensed band.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | LTE-LAA, Machine Type Communication, Interference, FBE-based LBT, Resource Allocation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis |
| Depositing User: | Rosabella Ika Yuanita |
| Date Deposited: | 24 Jun 2021 05:54 |
| Last Modified: | 24 Jun 2021 05:54 |
| URI: | http://repository.its.ac.id/id/eprint/55018 |
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