Improved Stochastic-Based Interference Avoidance Algorithm for Fifth Generation Communication
DOI:
https://doi.org/10.31272/jeasd.2648Keywords:
Fifth generation communication, Interference, Spectral efficiency, Ultra-dense networksAbstract
Interference cancellation is a prominent concern in 5G communication. In 5G wireless architecture, self-interference cancellation may double the spectral and energy efficiency of ultra-dense networks using the full-duplex approach if implemented successfully. Various circuit blocks and optimization algorithms have been proposed to mitigate self-interference caused by transmitted signals, as described in the literature. However, addressing self-interference effectively during data transmission in ultra-dense networks remains a challenge. This issue has been addressed by developing an Improved Stochastic-Based Interference Avoidance (ISIA) algorithm that primarily targets the minimization of self-interference and error rates in 5G communication. The ISIA algorithm employs stochastic optimization strategies to adjust power control and other transmission parameters based on monitored channel conditions and interference. It provides efficient optimization in the spatial and frequency domains while considering the hardware setup. In particular, it employs mean field approximation and thresholding for interference management and resource control to optimize spectral and power usage. Numerical and analytical evaluations reveal better efficiency, accuracy, interference reduction, and throughput compared to existing techniques. Results demonstrate a throughput improvement of up to 30% and a 25% reduction in interference, validating the effectiveness of the proposed approach.
References
M. Yao, M. M. Sohul, X. Ma, V. Marojevic, and J. H. Reed, “Sustainable green networking: exploiting degrees of freedom towards energy-efficient 5G systems”. Wireless Networks, vol. 25, no. 3, pp. 951-960, Nov 2019. https://doi.org/10.48550/arXiv.1711.00442
J. Zhang, F. He, W. Li, Y. Li, Q. Wang, and S. Ge, et al., “Self-Interference Cancellation: A Comprehensive Review from Circuits and Fields Perspectives”. Electronics vol. 11, no. 2, Jan. 2022. https://doi.org/10.3390/electronics11020172
M.G. Sarret, G. Berardinelli, and N.H. Mahmood, “Analyzing the potential of a full duplex in 5G ultra-dense small cell networks”. Wireless Com Network, 284, Dec (2016). https://doi.org/10.1186/s13638-016-0780-4
S.K. Sathya, R. Dhanalakshmi, R. Kumar, and PM. Shakee, “An adaptive fuzzy rule-based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system”. Journal of Ambient Intelligence and Humanized Computing. Pp. 1–13, 2018. https://doi.org/10.1007/s12652-018-1154-z
M. Sohul, M. Yao, T. Yang, and H. Reed. “Spectrum access system for the citizen broadband radio service”. IEEE Communications Magazine, vol. 53, no. 7, pp. 18-25, Jul. 2015. 10.1109/MCOM.2015.7158261
P. M. Shakeel, S. Baskar, and S. Selvakumar, “Retrieving Multiple Patient Information by Using the Virtual MIMO and Path Beacon in a Wireless Body Area Network”. Wireless Personal Communications, vol. 108, pp. 2359–2370, May 2019 https://doi.org/10.1007/s11277-019-06525-5.
S. Zheng, J. Yang, X. Ge, Y. Li, L. Tian, and J. Shi, “Energy Efficiency of Generalized Spatial Modulation Aided Massive MIMO Systems”. IEEE Wireless Comm. and Net. Conf. (WCNC), April 2019, 10.1109/WCNC.2019.8886151.
P. M Shakeel and G. Manogaran, “Prostate cancer classification from prostate biomedical data using an ant rough set algorithm with radial trained extreme learning neural network”. Health and Technology, vol. 10, pp. 157-165, Dec. 2018. https://doi.org/10.1007/s12553-018-0279-6.
Y. D. Lin, “First Quarter 2019 IEEE Communications Surveys and Tutorials”. IEEE Communications Surveys & Tutorials, vol. 21, no. 1, pp. 1-9, Feb. 2019. http://dx.doi.org/10.1109/COMST.2019.2896498.
A. Ö. Ercan, M. O. Sunay, and I. F. Akyildiz, “RF energy harvesting and transfer for spectrum sharing cellular IoT communications in 5G systems”. IEEE Transactions on Mobile Computing, vol. 17, no. 7, pp. 1680-1694, Aug. 2017. 10.1109/TMC.2017.2740378.
N. Khalid, T. Yilmaz, and O. B. Akan, “Energy-efficient modulation and physical layer design for low terahertz band communication channel in 5G femtocell Internet of Things”. Ad Hoc Networks, vol. 79, pp. 63-71, Oct. 2018, 10.1016/j.adhoc.2018.06.009
B. Di, L. Song, Y. Li, and H. V. Poor, “Ultra-Dense LEO: Integration of Satellite Access Networks into 5G and Beyond”. IEEE Wireless Communications, vol. 26, no. 2, pp. 62-69 Dec. 2018, Doi: 10.1109/TWC.2018.2875980.
M. O. Raimi, O. A. Oluwatoyin, and A. Olalekan, "Health impact assessment: a tool to advance the knowledge of policymakers' understanding of sustainable development goals: a review". ES Journal of Public Health, vol. 1, no. 1, p. 1002, Apr 2020.
D. B. D. Costa, T. Q. Duong, M. A. Imran, H. Q. Ngo, N. Yang, and O. A. Dobre, “IEEE Access Special Section Editorial: Modeling, Analysis, AND Design OF 5G Ultra-Dense Networks”. IEEE Access, vol. 7, pp. 18894-18898. Feb. 2019, 10.1109/ACCESS.2019.2895443.
M. Yao, M. Sohul, V. Marojevic, and J. H. Reed, “Artificial Intelligence Defined 5G Radio Access Networks”. IEEE Communications Magazine, vol. 57, no. 3, pp. 14-20, Mar. 2019, 10.1109/MCOM.2019.1800629.
F. Zhou, Y. Wu, R. Q. Hu, Y. Wang and K. K Wong, “Energy-efficient NOMA enabled heterogeneous cloud radio access networks”. IEEE Network, vol. 32, no. 2, pp. 152-160. Mar. 2018 10.1109/MNET.2017.1700208
L. Lv, J. Chen, Q. Ni, Z. Ding, and H. Jiang, “Cognitive non-orthogonal multiple access with cooperative relaying: A new wireless frontier for 5G spectrum sharing”. IEEE Communications Magazine, vol. 56, no.4, pp. 188-195. March 2018, 10.1109/MCOM.2018.1700687.
O. Semiari, W. Saad, M. Bennis, and M. Debbah, “Integrated millimeter wave and Sub-6 GHz wireless networks: A roadmap for joint mobile broadband and ultra-reliable low-latency communications”. IEEE Wireless Communications, vol. 26, no. 2, pp. 109-115, Feb. 2019, 10.1109/MWC.2019.1800039
Y. Zhong, X. Ge, H. H. Yang, T. Han, and Q. Li, “Traffic matching in 5G ultra-dense networks”. IEEE Communications Magazine, vol. 56, no. 8, pp. 100-105. Aug. 2018, 10.1109/MCOM.2018.1700956
C. Yang, J. Xiao, J. Li, X. Shao, A. Anpalagan, Q. Ni, and M. Guizani, “DISCO: Interference-aware distributed cooperation with an incentive mechanism for 5G heterogeneous ultra-dense networks”. IEEE Communications Magazine, vol. 56, no. 7, pp. 198-204. Mar. 2018, 10.1109/MCOM.2018.1700147
H. Zhang, L. Song, and Y. J. Zhang, “Load balancing for 5G ultra-dense networks using device-to-device communications”. IEEE Transactions on Wireless Communications, vol. 17, no. 6, pp. 4039-4050. April 2018, 10.1109/TWC.2018.2819648
X. Gu, B. Sadhu, D. Liu, C. Baks, and A. Valdes-Garcia, “Antenna-in-package design and module integration for millimeter-wave communication and 5G”. 2018 International Symposium on VLSI Design, Automation and Test (VLSI-DAT). June 2018, 10.1109/VLSI-DAT.2018.8373286
S. Kumar and M. Shakeel, “An Efficient Optimal Fuzzy C Means (OFCM) Algorithm with Particle Swarm Optimization (PSO) To Analyze and Predict Crime Data”. Journal of Advanced Research in Dynamic and Control Systems, vol. 06, pp. 699-707. June 2018.
L. Huo & D. Jiang, “Stackelberg game-based energy-efficient resource allocation for 5G cellular networks”. Telecommunication Systems, vol. 72, pp. 377-388, April 2019.
S. Baskar, S. Periyanayagi, P. M. Shakeel, and V. S. Dhulipala, “An Energy Persistent Range-dependent Regulated Transmission Communication Model for Vehicular Network Applications”. Computer Networks, vol. 152, pp. 144-153. April 2019, https://doi.org/10.1016/j.comnet.2019.01.027
Z. Kuang, G. Liu, G. Li, and X. Deng, “Energy efficient resource allocation algorithm in energy harvesting-based D2D heterogeneous networks”. IEEE Internet of Things Journal, vol. 6, no. 1, pp. 557-567. Feb. 2019, 10.1109/JIOT.2018.2842738
M. H. Kabir, S. Z. Rashid, A. Gafur, M. N. Islam, and M. J. Hoque, “Maximum Energy Efficiency of Three Precoding Methods for Massive MIMO Technique in Wireless Communication System”. At the 2019 International Conference on Electrical, Computer, and Communication Engineering (ECCE). April 2019, 10.1109/ECACE.2019.8679238
D. Liang and X. Dou, “Research on the Technology of Breaking the Shannon Channel Capacity and Shannon Limit”. Preprint, version 1, Jul 2022, https://doi.org/10.21203/rs.3.rs-1643836/v1
B. Jeong, N. Kim, B.D. Lee, et al., “A Simple and Enriched Closed-Form Formula for Cell Residence Time in 5G Heterogeneous Networks”. Wireless Personal Communications, vol. 101, pp. 491–509, April 2018.
A. Othman and Z. Zainuddin, "Mult-objective fuzzy stochastic linear programming problems in the 21st century”. Life Sciences Journal, vol. 10, pp. 616–647. Jan. 2013.
H. Hellaoui, O. Bekkouche, M. Bagaa, and T. Taleb, “Aerial Control System for Spectrum Efficiency in UAV-to-Cellular Communications”. IEEE Communications Magazine, vol. 56, no. 10, pp. 108-113. Oct. 2018. 10.1109/MCOM.2018.1800078
W. Wu and D. Liu, “On the Feasibility of Hybrid Interference Alignment in 60 GHz Millimeter-Wave Dense Networks”. 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, Feb. 2019, 10.1109/GLOCOMW.2018.8644220
Y. Zhang et al., “Far-End Crosstalk Mitigation for Future Wireline Networks Beyond G.mgfast: A Survey and an Outlook”. In IEEE Access, vol. 8, pp. 9998-10039, Jan. 2020, 10.1109/ACCESS.2019.2963571
M. U. A. Siddiqui, F. Qamar, F. Ahmed, Q. N. Nguyen and R. Hassan, “Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions”. in IEEE Access, vol. 9, pp. 68932-68965, May 2021, https://doi.org/10.1109/ACCESS.2021.3073543
Downloads
Key Dates
Received
Revised
Accepted
Published Online First
Published
Issue
Section
License
Copyright (c) 2025 Ahmed Saeed Obied, Hind Mowafa Taha, Ahmad Shahidan Abdullah (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
