A Fairness-based Cell Selection Mechanism for Ultra-Dense Networks (UDNs)


  • Sultan Alotaibi College of Computer and Information Systems, Umm Al-Qura University, Saudi Arabia
Volume: 13 | Issue: 5 | Pages: 11524-11532 | October 2023 | https://doi.org/10.48084/etasr.6106


A typical 5G Ultra-Dense Network (UDN) comprises different types of Base Stations (BSs) in its structure. Dense deployment of small-cell BSs within a macrocell BS's coverage offers significant benefits, as the distance between a User Equipment (UE) and its small-cell BS is shorter with robust signals. Thus, the network capacity will increase dramatically. However, selecting an appropriate small-cell BS for a particular UE becomes a challenge in 5G UDNs. This study proposed a mechanism to address the cell selection problem and maximize fairness among UEs when making the cell selection decision. The proposed mechanism considered different parameters. The load balance for each small-cell BS was considered to fairly distribute UEs and avoid traffic congestion. Moreover, the signal strength was considered with the achievable data rate for all small-cell BSs to stimulate idle small-cell BSs to be in operating mode. A simulation was carried out in MATLAB to evaluate the proposed mechanism. Signal-to-Interference-Ratio (SINR) and Signal Strength (SS) -based strategies were also simulated for comparison. The proposed solution outperformed the other schemes in terms of fairness, as the UEs attached to the system were fairly distributed among small-cell BSs. Furthermore, the proposed mechanism achieved the best radio resource distribution in terms of fairness compared to the two other schemes.


cell selection, UDN, small cells, fairness


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How to Cite

S. Alotaibi, “A Fairness-based Cell Selection Mechanism for Ultra-Dense Networks (UDNs)”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 5, pp. 11524–11532, Oct. 2023.


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