A Fairness-based Cell Selection Mechanism for Ultra-Dense Networks (UDNs)
Received: 7 June 2023 | Revised: 2 July 2023 | Accepted: 17 July 2023 | Online: 13 October 2023
Corresponding author: Sultan Alotaibi
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.
Keywords:cell selection, UDN, small cells, fairness
Y. Lei, G. Zhu, C. Shen, Y. Xu, and X. Zhang, "Delay-Aware User Association and Power Control for 5G Heterogeneous Network," Mobile Networks and Applications, vol. 24, no. 2, pp. 491–503, Apr. 2019.
Y. Djeldjeli and M. Zoubir, "CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 6857–6863, Apr. 202148084/etasr.4016.
Z. A. Shamsan, "Statistical Analysis of 5G Channel Propagation using MIMO and Massive MIMO Technologies," Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7417–7423, Aug. 2021.
B. U. Kazi and G. A. Wainer, "Next generation wireless cellular networks: ultra-dense multi-tier and multi-cell cooperation perspective," Wireless Networks, vol. 25, no. 4, pp. 2041–2064, May 2019.
A. Shabbir, H. R. Khan, S. A. Ali, and S. Rizvi, "Design and Performance Analysis of Multi-tier Heterogeneous Network through Coverage, Throughput and Energy Efficiency," Engineering, Technology & Applied Science Research, vol. 7, no. 6, pp. 2345–2350, Dec. 2017.
M. Azhar and A. Shabbir, "5G Networks: Challenges and Techniques for Energy Efficiency," Engineering, Technology & Applied Science Research, vol. 8, no. 2, pp. 2864–2868, Apr. 2018.
J. Zhao, Y. Liu, Y. Gong, C. Wang, and L. Fan, "A Dual-Link Soft Handover Scheme for C/U Plane Split Network in High-Speed Railway," IEEE Access, vol. 6, pp. 12473–12482, 2018.
W.-S. Kim, G. J. V. Lieshout, S.-H. Kim, and S.-B. Kim, "Method and apparatus for reporting buffer state by user equipment in communication system," U.S. Patent 10708940B2, Jul. 07, 2020.
A. Gotsis, S. Stefanatos, and A. Alexiou, "UltraDense Networks: The New Wireless Frontier for Enabling 5G Access," IEEE Vehicular Technology Magazine, vol. 11, no. 2, pp. 71–78, Jun. 2016.
Y. Wei and S.-H. Hwang, "Optimization of Cell Size in Ultra-Dense Networks with Multiattribute User Types and Different Frequency Bands," Wireless Communications and Mobile Computing, vol. 2018, Oct. 2018, Art. no. e8319749.
S. Alotaibi, "HetNet Characteristics and Models in 5G Networks," International Journal of Computer Science & Network Security, vol. 22, no. 4, pp. 27–32, 2022.
A. Mesodiakaki, E. Zola, and A. Kassler, "User association in 5G heterogeneous networks with mesh millimeter wave backhaul links," in 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), Macau, China, Jun. 2017, pp. 1–6.
Z. Qin, X. Yue, Y. Liu, Z. Ding, and A. Nallanathan, "User Association and Resource Allocation in Unified NOMA Enabled Heterogeneous Ultra Dense Networks," IEEE Communications Magazine, vol. 56, no. 6, pp. 86–92, Jun. 2018.
X. Wang, Y. Xu, J. Wang, and S. Fu, "Joint User Association and Power Allocation in Heterogeneous NOMA Networks With Imperfect CSI," IEEE Access, vol. 8, pp. 47607–47618, 2020.
M. Tayyab, G. P. Koudouridis, X. Gelabert, and R. Jäntti, "Uplink Reference Signals for Energy-Efficient Handover," IEEE Access, vol. 8, pp. 163060–163076, 2020.
A. Zakeri, A. Khalili, M. R. Javan, N. Mokari, and E. Jorswieck, "Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G," IEEE Transactions on Signal Processing, vol. 69, pp. 2481–2498, 2021.
A. Jahid, A. B. Shams, and M. F. Hossain, "PV-Powered CoMP-Based Green Cellular Networks with a Standby Grid Supply," International Journal of Photoenergy, vol. 2017, Apr. 2017, Art. no. e6189468.
Y. Zhang, L. Xiong, and J. Yu, "Deep Learning Based User Association in Heterogeneous Wireless Networks," IEEE Access, vol. 8, pp. 197439–197447, 2020.
J. G. Andrews, S. Singh, Q. Ye, X. Lin, and H. S. Dhillon, "An overview of load balancing in hetnets: old myths and open problems," IEEE Wireless Communications, vol. 21, no. 2, pp. 18–25, Apr. 2014.
N. Javaid, A. Sher, H. Nasir, and N. Guizani, "Intelligence in IoT-Based 5G Networks: Opportunities and Challenges," IEEE Communications Magazine, vol. 56, no. 10, pp. 94–100, Oct. 2018.
R. Arshad, H. Elsawy, S. Sorour, T. Y. Al-Naffouri, and M.-S. Alouini, "Handover Management in 5G and Beyond: A Topology Aware Skipping Approach," IEEE Access, vol. 4, pp. 9073–9081, 2016.
M. Gharam and N. Boudriga, "Cell Selection Game in 5G Heterogeneous Networks," in Ubiquitous Networking, Hammamet, Tunisia, 2018, pp. 28–39.
Z. Qin, W. Feng, Z. Yue, and H. Tian, "A Handover Management Strategy Using Residence Time Prediction in 5G Ultra-Dense Networks," in Signal and Information Processing, Networking and Computers, Singapore, 2021, pp. 808–816.
I. A. Alablani and M. A. Arafah, "An Adaptive Cell Selection Scheme for 5G Heterogeneous Ultra-Dense Networks," IEEE Access, vol. 9, pp. 64224–64240, 2021.
X. Tan, X. Luan, Y. Cheng, A. Liu, and J. Wu, "Cell selection in two-tier femtocell networks using Q-learning algorithm," in 16th International Conference on Advanced Communication Technology, Pyeongchang, Korea (South), Oct. 2014, pp. 1031–1035.
L. Wang, W. Huang, Y. Fan, and X. Wang, "Priority-based cell selection for mobile equipments in heterogeneous cloud radio access networks," in 2015 International Conference on Connected Vehicles and Expo (ICCVE), Shenzhen, China, Jul. 2015, pp. 62–67. A. M. Balapuwaduge and F. Y. Li, "Hidden Markov Model Based Machine Learning for mMTC Device Cell Association in 5G Networks," in ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, Feb. 2019, pp. 1–6.
B. R. Alyaei, I. M. Qureshi, S. Saleem, and S. H. Abbassi, "Offloading With Hybrid Cell Association in Non-Uniform Heterogeneous Cellular Networks: Modeling and Performance Analysis," IEEE Access, vol. 7, pp. 172214–172230, 2019.
W. Sun, L. Wang, J. Liu, N. Kato, and Y. Zhang, "Movement Aware CoMP Handover in Heterogeneous Ultra-Dense Networks," IEEE Transactions on Communications, vol. 69, no. 1, pp. 340–352, Jan. 2021.
A. S. Cacciapuoti, "Mobility-Aware User Association for 5G mmWave Networks," IEEE Access, vol. 5, pp. 21497–21507, 2017.
A. a. M. K. Abuelgasim and K. M. Yusof, "High Speed Mobility Management Performance in a Real LTE Scenario," Engineering, Technology & Applied Science Research, vol. 10, no. 1, pp. 5175–5179, Feb. 202044444.
S. Alotaibi and H. Sinky, "Power and Radio Resource Management in Femtocell Networks for Interference Mitigation," Sensors, vol. 21, no. 14, Jan. 2021, Art. no. 4843.
"Study on channel model for frequencies from 0.5 to 100 GHz," 3GPP, Sophia Antipolis, France, Technical Report 38.901, May 2017.
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