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Quantitative Assessment of Intercell Interference Effects in SINR and Throughput in LTE Heterogeneous Networks: A Drive Test Study

Kingsley Eyiogwu Onu, Obisike Kio Chima, Uchechukwu Theo Ekwueme

Abstract


Intercell interference (ICI) significantly degrades performance in Long-Term Evolution (LTE) heterogeneous networks (HetNets), particularly at cell edges. This study presents a measurement-driven analysis using 15-day drive-test data from the University of Port Harcourt, Nigeria, across distances of 100–1500 m. Results show SINR improving from 10.5 dB to 24.2 dB and throughput increasing from 25.03 Mbps to 61.85 Mbps (147% gain) as interference decreases. Analytical models closely matched measurements (0.29 dB SINR, 0.68 Mbps throughput error). Findings confirm the strong impact of ICI on QoS and emphasize the need for mitigation techniques such as eICIC and coordinated beamforming.


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References


Lopez-Perez, D., Guvenc, I., de la Roche, G., Kountouris, M., Quek, T. Q. S., & Zhang, J. (2011). Enhanced intercell interference coordination challenges in heterogeneous networks. IEEE Wireless Communications, 18(3), 22-30. https://doi.org/10.1109/MWC.2011.5876497.

Chiumento, A., Pollin, S., Desset, C., Van der Perre, L., & Lauwereins, R. (2015). Scalable HetNet interference management and the impact of limited channel state information. EURASIP Journal on Wireless Communications and Networking, 2015(74). https://doi.org/10.1186/s13638-015-0283-8.

Yao, C., Krishnamurthy, S., & Chandrasekhar, V. (2019). Reinforcement learning based intercell interference coordination in LTE networks. Future Internet, 11(1), 19.

Madhusudhanan, P., Restrepo, J. G., Liu, Y., & Brown, T. X. (2012). Downlink coverage analysis in a heterogeneous cellular network. IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, USA. 4170-4175. doi: 10.1109/GLOCOM.2012.6503771.

Letourneux, F., Corre, Y., Suteau, E., & Lostanlen, Y. (2012). 3D coverage analysis of LTE urban heterogeneous networks with dense femtocell deployments. EURASIP Journal on Wireless Communications and Networking, 2012, 319. https://doi.org/10.1186/1687-1499-2012-319.

Hikmaturokhman, A., Putri, H., & Ahmad, I. (2024). Optimising interference management in LTE networks: A case study of Bandung City using soft frequency reuse. Buletin Pos dan Telekomunikasi, 22(2). https://doi.org/10.17933/bpostel.v22i2.406.

Deussom Djomadji, E. M., Fouba, B. A. R., & Kenfack Wamba, J. G. (2022). Performance evaluation of the eICIC technique applied to a heterogeneous 4G mobile network. European Journal of Applied Sciences, 10(2), 540–560. https://doi.org/10.14738/aivp.102.12244.

Elechi, P., Bakare, B. I., & Onu, K. E. (2025). A predictive and mitigative modelling framework for intercell interference in heterogeneous networks using enhanced feedforward neural networks. Journal of Telecommunication, Electronic and Computer Engineering, 17(4), 33-41.

Fernández-López, V., Pedersen, K. I., & Soret, B. (2015). Interference characterization and mitigation benefit analysis for LTE-A macro and small cell deployments. EURASIP Journal on Wireless Communications and Networking, 2015(110). https://doi.org/10.1186/s13638-015-0344-z.

Mullahmetov, D. D., Fadeev, V. A., Gaysin, A. K., & Nadeev, A. (2018). Empirical analysis of LTE network coverage quality. SYNCHROINFO 2018. https://doi.org/10.1109/SYNCHROINFO.2018.8456993.


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