Small Cell Technology in Heterogeneous Wireless Mobile Networks of Future Smart Cities
DOI:
https://doi.org/10.59992/IJCI.2026.v5n6p1Keywords:
heterogeneous mobile networks, smart cities, small cells, intelligent softwareAbstract
In this paper, the use of intelligent heterogeneous mobile networks in congested smart cities, where macro, micro, pico, and femto cells are smartly monitored, is examined. The study demonstrates, from a physical-layer standpoint, the key benefits of deploying smart-driven small cells, including coverage area, transmission throughput, and resource consumption. The proposed design employs progressive intelligent software solutions to enable smart coordination among the installed base stations via the used waveform. By adopting both advanced cell technologies and smart applications, a developed communication system for future smart cities can be realized. Accordingly, the smart control of the presented scheme achieves lower battery usage, higher throughput, and wider transmission. Specifically, the offered solution is applied to crowded cities around the world, particularly the capitals and tourist cities, where millions of people visit each year. To verify the system performance of our advanced, smart, and effective solution, the transceiver systems at the explored locations were investigated before and after peak times using MATLAB.
References
1. Gkonis, P.K.; Giannopoulos, A.; Nomikos, N.; Trakadas, P.; Sarakis, L.; Masip-Bruin, X. A Survey on Architectural Approaches for 6G Networks: Implementation Challenges, Current Trends, and Future Directions. Telecom 2025, 6, 27. https://doi.org/10.3390/telecom6020027
2. Haboobi, H. and Kadhum, M. R. Impact Study and Evaluation of Higher Modulation Schemes on Physical Layer of Upcoming Wireless Mobile Networks. International Journal of Advanced Computer Science and Applications 2019, vol. 10, no. 5, doi: https://doi.org/10.14569/ijacsa.2019.0100583.
3. Kadhum, M. R.; Kanakis, T.; Al-sherbaz, A. and Crockett, R. Digital Chunk Processing with Orthogonal GFDM Doubles Wireless Channel Capacity. Advances in Intelligent Systems and Computing 2018, vol. 857, pp. 719-731, https://doi.org/10.1007/978-3-030-01177-2_53.
4. Kadhum, M. R. New Multi-Carrier Candidate Waveform For the 5G Physical Layer of Wireless Mobile Networks. 2019 Wireless Days (WD) 2019, pp. 1-7, doi: https://10.1109/WD.2019.8734205.
5. Kadhum, M. R.; Kanakis, T. and Crockett, R. Intra-channel Interference Avoidance with the OGFDM Boosts Channel Capacity of Future Wireless Mobile Communication. Advances in intelligent systems and computing 2019, pp. 281–293, doi: https://doi.org/10.1007/978-3-030-22868-2_21.
6. Jin, W. et al. Improved Performance Robustness of DSP-Enabled Flexible ROADMs Free from Optical Filters and O-E-O Conver-sions. Journal of Optical Communications and Networking 2016, vol. 8, no. 8, pp. 521–521, doi: https://doi.org/10.1364/jocn.8.000521
7. Kadhum, M. R.; Kanakis, T. and Crockett, R. Dynamic Bit Loading with the OGFDM Waveform Maximises Bit-Rate of Future Mobile Communications. Advances in intelligent systems and computing 2019, pp. 242–252, doi: https://doi.org/10.1007/978-3-030-22868-2_19.
8. Kadhum, M. R. Upgrading Physical Layer of Multi-Carrier OGFDM Waveform for Improving Wireless Channel Capacity of 5G Mobile Networks and Beyond. Information 2020, vol. 11, no. 1, p. 35, doi: https://doi.org/10.3390/info11010035.
9. Kadhum, M. R. and Haboobi, H. Advanced Optical Waveform With Single Mode Fiber Optic for Developing Upcoming Networks of Mobile Communications. in IEEE Access 2025, vol. 13, pp. 6413-6421, doi: https://10.1109/ACCESS.2024.3523818.
10. Haboobi, H. and Kadhum, M. R. Utilise higher modulation formats with heterogeneous mobile networks increases wireless channel transmission. Advances in intelligent systems and computing 2019, pp. 217–229, doi: https://doi.org/10.1007/978-3-030-22868-2_17.
