Interference Management Based on Clustering Method for Ultra-Dense Networks in Multicellular Network

Alisha Gita Gumilang(1), Misfa Susanto(2), Helmy Fitriawan(3),

DOI: https://doi.org/10.15294/jte.v15i2.48738


(1) University of Lampung, Indonesia
(2) University of Lampung, Indonesia
(3) University of Lampung, Indonesia

Abstract

One of solutions to address the increasing demands for data traffic by mobile users is to implement ultra dense network (UDN). UDN consists of many femtocells that are densely deployed on macrocellular communication networks. Since femtocells radius is very short and they are tightly packed, it faces interferences problem i.e., co-tier and cross-tier interferences. This paper proposes interference management technique based on clustering method for UDN multicellular communication networks at downlink transmission. It is purposed to reduce interference effects. To evaluate the proposed clustering method, two simulation scenarios have been designed; namely baseline system and system with the proposed clustering method. The scenarios applied is to randomly distribute femtocells following a uniform distribution in three macrocells areas. Through a clustering algorithm, adjacent femtocells are grouped into one cluster and assigned different frequency channels for each femtocell in that cluster. The same cluster pattern is repeated for all femtocells. Thus, interference effect is canceled within one cluster and reduced among clusters by widening the distance among femtocells that use the same frequency channels. Through simulation experiment, the proposed clustering method is evaluated and compared to the baseline system. The simulation results show that Signal to Interference plus Noise Ratio (SINR) of femtocells increases 0.44 dB, throughput increases 1.67%, Bit Error Rate (BER) reduces, and other parameters improve as well which include spectral efficiency, network energy, and average network energy. The proposed clustering method increases performances of the networks and provides better solution for transmission data speed in densely femtocell network.

Keywords

clustering method; co-tier interference; cross-tier interference; distance-based clustering; femtocell-macrocell; interference management; multicell scenario; UDN

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References

X. Tian and W. Jia, “Improved clustering and resource allocation for ultra-dense networks,” China Communications, vol. 17, no. 2, pp. 220-231, 2020. doi: 10.23919/JCC.2020.02.017

S. J. Kim and J. G. Kim, “Resource Allocation in Cluster based Ultra Dense Network,” 2020 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, South Korea, Oct. 21-23, 2020. doi: 10.1109/ICTC49870.2020.9289491

N. Sharma and K. Krishan, “Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey,” Physical Communication, vol. 48, pp. 101415, 2021. doi: https://doi.org/10.1016/j.phycom.2021.101415

X. Yutong, W. Xuanli, W. Wei, and H. Shuai, ”Minimum Separation Clustering Algorithm with High Separation Degree in Ultra-Dense Network,” 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa HI, USA, Dec. 09-13, 2019. doi: 10.1109/GLOBECOM38437.2019.9013929

M. Susanto, A. Abadi, Herlinawati, and A. Trisanto, “Uplink power control based on SINR for D2D enabled in cellular communication network,” Journal of Physics: Conference Series, vol. 1376, no.1, pp. 012019, 2019. doi: 10.1088/1742-6596/1376/1/012019

M. Susanto, S. N. Hasim, and H. Fitriawan, “Relay-based clustering method for interference management in heterogeneous wireless cellular network,” Jurnal Teknik Elektro. vol.13, no.2, pp. 79-88, 2021. doi: https://doi.org/10.15294/jte.v13i2.33210

M. Susanto, A. Abadi, Herlinawati, and A. Trisanto, “On the reduction of interference effect using power control for device-to-device communication underlying cellular communication network,” Proceedings of the 2017 International Conference on Electrical Engineering and Computer Science (ICECOS), Palembang, Indonesia, Aug. 22-23, 2017. doi: 10.1109/ICECOS.2017.8167149

M. Susanto, S. N. Hasim, and H. Fitriawan, “Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network,” Jurnal Rekayasa Elektrika, vol. 17, no.4, pp. 230-238, 2021. doi: https://doi.org/10.17529/jre.v17i4.23157

S. Suryani, M. Susanto, A. Sadnowo, S. N. Hasim, and F. Hamdani, “Interference Management Using Power Allocation for Downlink Transmission of Femtocell-Macrocell Ultra Dense Networks,” Proceeding of 2022 9th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), Semarang, Indonesia, Aug. 25-26, 2022. doi: 10.1109/ICITACEE55701.2022.9924036

H. Zhang, K. Yang, and S. Zhang, “Resource Allocation Based on Interference Alignment with Clustering for Data Stream Maximization in Dense Small Cell Networks,” IEEE Access, vol. 7, pp. 161831- 161848, 2019. doi: 10.1109/ACCESS.2019.2951999

S. Behrad and S. Maryam, ”Cluster-Based Resource Allocation and User Association in mmWave Femtocell Networks,” IEEE Transactions on Communications, vol. 68, no. 3, pp. 1746-1759, 2020. doi: 10.1109/TCOMM.2018.2881464

W. Bai, Y. Li, T. Yao, and H. Zhang, “Performance Analysis of Dynamic Re-Clustering and Resource Allocation in Ultra Dense Network,” IEEE Access, vol. 6, pp. 2169-3536, 2018. doi: 10.1109/ACCESS.2018.2870868

Y. Liang, X. Liu, J. Jiang, J. Du, C. Sun, and Y. Xie, “A Practical Dynamic Clustering Scheme Using Spectral Clustering in Ultra Dense Network,” IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chongqing, China, Sep. 30, 2020. doi: 10.1109/ICCCWorkshops49972.2020.9209949

R. Yuting and X. Rongtao, “An Adaptive Clustering Scheme Based on Modified Density-Based Spatial Clustering of Applications with Noise Algorithm in Ultra-Dense Networks,” 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, USA, Sep. 22-25, 2019. doi: 10.1109/VTCFall.2019.8891337

L. Zhu, L. Yang, Q. Zhang, T. Zhou, and J. Hua, “Cluster-based energy-efficient joint user association and resource allocation for B5G ultra-dense network,” Physical Communication, vol. 46, pp. 101311, 2021. doi: https://doi.org/10.1016/j.phycom.2021.101311

S. Yanzan, G. Ge, Z. Shunqing, X. Shugong, W. Tao, and W. Yating, “A Cluster-Based Energy-Efficient Resource Management Scheme with QoS Requirement for Ultra-Dense Network,“ IEEE Access, vol. 8, pp. 182412-182421, 2022. doi: 10.1109/ACCESS.2020.3028942

Y. Liang, C. Sun, J. Jiang, X. Liu, H. He, and Y. Xie, “An Efficiency-Improved Clustering Algorithm Based on KNN Under Ultra-Dense Network,” IEEE Access, vol. 8, pp. 43796-43805, 2020. doi: 10.1109/ACCESS.2020.2977403

Z. Wu, Z. Fei, Z. Han, and L. Wang, ”Distributed User-Centric Clustering and Base Station Mode Choose in Ultra Dense Networks,” ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, May 20-24, 2019. doi: 10.1109/ICC.2019.8761173

L. Yan, Z. Rong, Y. Luxi, L. Chunguo, and H. Lajos, “User-Centric Clustering for Designing Ultra dense Networks: Architecture, Objective Functions, and Design Guidelines,” ICC 2019 - 2019 IEEE International Conference on Communications, (ICC), Shanghai, China, May 20-24, 2019. doi: 10.1109/MVT.2019.2903741

Z. Hao, Y. Kunde, Z. Shun, and W. Xianbin. “Efficient Subchannel Allocation Based on Partial Clustered Interference Alignment and Clusters Merging in Dense Small Cell Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 16191-16196, 2020. doi: 10.1109/TVT.2020.3032669

P. Ajay, S. Rishabh, and M. Rajiv, “Distributed Randomized k-Clustering Based PCID Assignment for Ultra-Dense Femtocellular Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 29, no. 6, pp. 1247-1260, 2018. doi: 10.1109/TPDS.2018.2800050

S. Peng, Z. Heli, J. Hong, and X. Li, “Small Cells Clustering and Resource Allocation in Dense Network with Mobile Edge Computing,” IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco, Apr. 15-18, 2019. doi: 10.1109/WCNC.2019.8885864

H. K. Eung, W. L. Je, M. K. Young, and K. H. Een, “Analysis of the Optimal Number of Clusters in UDN Environment,” 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), Singapore, Aug. 28-30, 2019. doi: 10.1109/VTS-APWCS.2019.8851643

F. I. Lamiaa, A. S. Hesham, Y. S. Sara, and T. Zaki, “Using Clustering Techniques to Plan Indoor Femtocell Base Stations Layout in Multi-floors,” The Computer Journal, vol. 62, no. 6, pp. 919-930, 2019. doi: https://doi.org/10.1093/comjnl/bxz007

3GPP TR 36.814 version 10.2.0 Release 10, “3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Further Advancements for E-UTRA Physical Layer Aspects (Release 9),” European Telecommunications Standards Institute, 2010.

M. B. Abbasi and J.Zhang, "The energy efficiency of LTE/LTE-advanced femto/small cell networks," 2014 IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey, Apr. 06-09 2014. doi : 10.1109/WCNC.2014.6952652

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