Simulation and analysis of fractional frequency reuse power allocation for a 24-cell network

Mingjun Ying; Jinpu Zhang; Yongkang Qin

doi:10.1117/12.2631977

14 April 2022 Simulation and analysis of fractional frequency reuse power allocation for a 24-cell network

Mingjun Ying, Jinpu Zhang, Yongkang Qin

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121782A (2022) https://doi.org/10.1117/12.2631977
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

With the growing demand for multimedia services and limited spectrum resources, it is critical to effectively use such resources and optimise the power distribution in cellular networks to reach higher capacity. This research aimed to discover a Fractional Frequency Reuse method that provides more network capacity than previous allocation methods. We looked at the capacity of each algorithm in an M-cell network using a mix of Integer Frequency Reuse (IFR), simultaneous waterfilling (SWF), and forward-looking game water-filling (FLG). After that, simulations are applied to determine which approach achieves the maximum capacity among all of them. The capacity of the FLG+IFR3 was somewhat more significant than that of the SWF+IFR3 and significantly higher than that of the IFR1+IFR3. In the FLG+IFR3 scenario, we also find out that raising the power budget for each user can not always result in satisfactory results. Therefore, we proposed an optimised power allocation method that helps reach a relatively high capacity for the entire network. The findings revealed fascinating theoretical and technological insights into 24-cell frequency allocation behaviour, which might be helpful in future frequency allocation design and implementation.

Citation Download Citation

Mingjun Ying, Jinpu Zhang, and Yongkang Qin "Simulation and analysis of fractional frequency reuse power allocation for a 24-cell network", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121782A (14 April 2022); https://doi.org/10.1117/12.2631977

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