Inter-Cell Interference Mitigation in LTE Downlink Using Static Interference Coordination: Case of Addis Ababa
| dc.contributor.advisor | Hailemariam, Dereje (PhD) | |
| dc.contributor.author | Moges, Michael | |
| dc.date.accessioned | 2018-06-26T07:29:54Z | |
| dc.date.accessioned | 2023-11-28T14:09:06Z | |
| dc.date.available | 2018-06-26T07:29:54Z | |
| dc.date.available | 2023-11-28T14:09:06Z | |
| dc.date.issued | 2016-01 | |
| dc.description.abstract | Recently, Long Term Evolution (LTE) has been deployed by many operators to address the growing data needs. Ethio telecom is among those operators that have deployed LTE in Addis Ababa. As other new emerging technologies, LTE uses orthogonal frequency division multiple access (OFDMA) technology to improve the system performance. However, the currently deployed LTE network has low average downlink throughput due to the deployment uses reuse factor of 1 in which every cell can provide services over the entire system band. Associated with reuse factor of 1, therefore, there will be inter-cell interference between neighbor eNodeBs when they try to use the same resource blocks to their user equipment. For cell-edge users (CEUs), the effect of inter-cell interference is especially severe. Therefore, to improve the throughput, inter-cell interference must be mitigated. Different methods have been proposed to mitigate this interference and interference coordination using static inter-cell interference coordination (ICIC) algorithm is the main one. Hence, this thesis focuses on the evaluation of static ICIC algorithms: hard fractional frequency reuse (Hard FFR), soft frequency reuse (SFR), partial frequency reuse (PFR) and soft fractional frequency reuse (SFFR) in already existed LTE network of Addis Ababa using simulation software. For this case study, sample sites around Gotera area of Addis Ababa are randomly selected. All these static ICIC algorithms are compared using the performance metrics such as peak throughput, the carrier to interference plus noise ratio (CINR) of the data channel and coverage probability. Simulation results shows that static ICIC schemes have better performance than reuse 1 scheme and from static ICIC algorithms, PFR algorithm has better average throughput and coverage probability of throughput. Key words: Cell-edge user (CEU); Inter-cell Interference coordination (ICIC); Hard fractional frequency reuse; Partial frequency reuse (PFR); Soft frequency reuse (SFR); Soft fractional frequency reuse (SFFR). | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/3530 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Cell-edge user (CEU) | en_US |
| dc.subject | Inter-cell Interference coordination (ICIC) | en_US |
| dc.subject | Hard fractional frequency reuse | en_US |
| dc.subject | Partial frequency reuse (PFR) | en_US |
| dc.subject | Soft frequency reuse (SFR) | en_US |
| dc.subject | Soft fractional frequency reuse (SFFR) | en_US |
| dc.title | Inter-Cell Interference Mitigation in LTE Downlink Using Static Interference Coordination: Case of Addis Ababa | en_US |
| dc.type | Thesis | en_US |