Open Access Open Access  Restricted Access Subscription Access

Impact of Intercell Interference on Key Performance Metrics in Heterogeneous Networks: A Quantitative Assessment

Promise Elechi, Bodunrin. Bakare, Kingsley Onu

Abstract


This study investigates the impact of intercell interference (ICI) on the performance of LTE heterogeneous networks using real-world measurements and MATLAB-based simulations. Drive test data were collected across a mapped route within the University of Port Harcourt, where SINR and throughput were evaluated at increasing distances from an interfering cell. The findings reveal a strong correlation between interference, SINR, and network capacity. At a close range of 100 meters, the SINR and throughput were measured at 10.4 dB and 25.68 Mbps, respectively. As the distance increased to 1500 meters, SINR improved to 24.0 dB, while throughput peaked at 62.75 Mbps. Simulation results further confirmed that applying enhanced feedforward Neural network (eFFNN) technique significantly improved effective capacity from 21.37 Mbps at 100 meters to 46.30 Mbps at 1500 meters. The measured data closely aligned with theoretical predictions using Shannon capacity estimates. These results underscore the importance of interference-aware design and signal management strategies in optimizing LTE heterogeneous network performance.


Full Text:

PDF

References


Lee, N., & Heath, R. W. Jr. (2013). Degrees of Freedom for the two-cell two-hop MIMO Interference Channel: Interference-Free Relay Transmission and Spectrally Efficient Relaying Protocol. IEEE Transactions on Information Theory, 59, 2882-2896. https://doi.org/10.1109/TIT.2013.2256016.

Qamar, F., Dimyati, K., Hindia, M. N., Noordin, K. A., & Amiri, I. S. (2019). A Stochastically Geometrical Poisson Point Process Approach for the Future 5G D2D Enabled Cooperative Cellular Network. IEEE Access, 7, 60465-60485. https://doi.org/10.1109/ACCESS.2019.2913567.

Nam, W., Bai, D., Lee, J., & Kang, I. (2014). Advanced interference management for 5G cellular networks. IEEE Communications Magazine, 52(5), 52-60. https://doi.org/10.1109/MCOM.2014.6815894.

Di Renzo, M. (2015). Stochastic geometry modeling and analysis of multi-tier millimeter wave cellular networks. IEEE Transactions on Wireless Communications, 14(9), 5038-5057. https://doi.org/10.1109/TWC.2015.2422381.

Thornburg, A., Bai, T., & Heath, R. W. (2015). Interference Statistics in a Random mmwave ad hoc Network. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2904–2908). https://doi.org/10.1109/ICASSP.2015.7178438.

Aggarwal, V., Duarte, M., Sabharwal, A., & Shankaranarayanan, N. (2012). Full-or Half-Duplex? A Capacity Analysis with Bounded Radio Resources. In 2012 IEEE Information Theory Workshop (pp. 207–211). https://doi.org/10.1109/ITW.2012.6404730.

Kim, D., Park, S., Ju, H., & Hong, D. (2014). Transmission Capacity of Full-Duplex-Based two-way ad hoc Networks with ARQ Protocol. IEEE Transactions on Vehicular Technology, 63(7), 3167–3183. https://doi.org/10.1109/TVT.2014.2307173.

Hindia, M. N., Qamar, F., Abbas, T., Dimyati, K., Talip, M. S. A., & Amiri, I. S. (2019). Interference Cancelation for High-Density Fifth-Generation Relaying Network Using Stochastic Geometrical Approach. International Journal of Distributed Sensor Networks, 15(6), 1550147719855879. https://doi.org/10.1177/1550147719855879.

Jung, H., & Tonguz, O. K. (1999). Random Spacing Channel Assignment to Reduce the Nonlinear Intermodulation Distortion in Cellular Mobile Communications. IEEE Transactions on Vehicular Technology, 48(6), 1666-1675. https://doi.org/10.1109/25.806782.

Karim, B. A., & Othman, B. R. (2020). Study of Uplink Interference in UMTS Network: ASIACELL Company, Iraq. Kurdistan Journal of Applied Research, 5(2), 137-148. https://doi.org/10.24017/science.2020.2.12.


Refbacks

  • There are currently no refbacks.