Abstract:
Soft frequency reuse (SFR) techniques are commonly utilized to mitigate interference in cellular networks and enhance user experience. Traditional SFR approaches allocate resources based on the assumption of a uniform user distribution, which may not reflect the random deployment of users in real network scenarios. To address this limitation, we propose an intelligent SFR algorithm called User-SFR that dynamically adjusts resource allocation parameters according to the actual load distribution in the network.
This research investigates the impact of random user deployment on SFR-based networks to design more efficient systems. Comparative analysis between the proposed User-SFR algorithm and a fixed SFR algorithm shows that the User-SFR outperforms the fixed approach. Specifically, the Signal to Interference plus Noise Ratio (SINR) for users at the network edge improves by approximately 3.2%, while the overall network capacity improves by over 202%.
These findings highlight the importance of considering realistic user deployment scenarios over assumed uniform distributions. The User-SFR approach demonstrates its ability to achieve a more enhanced network performance in such situations.
Optimizing 5G Cellular Networks with a User Density-Based Soft Frequency Reuse Algorithm. GET MORE, ACTUARIAL SCIENCE PROJECT TOPICS AND MATERIALS
