A large number of small cells are deployed in a traditional heterogeneous network to form an ultra-dense network. The ultra-dense network effectively increases the capacity of the network, but also introduces serious interference problems between low-power nodes. In order to solve the problem of downlink interference existing in the ultra-dense network, a new technical scheme based on power control (PCICS) is proposed. The PCICS scheme simultaneously determines the number of neighbor nodes around the central node and the size of the interference to the neighboring nodes as the determining node that needs to control the power. Then it translates the interference from neighboring nodes into its distance from the central node. It simplifies the method of determining the size of the interference. Then the node that meets the threshold condition is determined as the interference source node. Finally, the interference source node controls the transmission power under the condition of ensuring the normal communication of the user according to the feedback signal of the user. Therefore, the proposed solution minimizes interference to system users. Experimental data show that, compared to the TAPB algorithm, the average degree of system interference of the proposed scheme is basically the same. The average SINR is increased by 5~8dB. The average system throughput is increased by about 50%. Simulation results demonstrate that, in the case of increasing the interference source node judgment condition, the proposed scheme can effectively improve the system throughput and reduce the system power loss.
| DOI | 10.11648/j.awcn.20180402.12 |
| Published in | Advances in Wireless Communications and Networks (Volume 4, Issue 2, December 2018) |
| Page(s) | 36-42 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Ultra-dense Network, Small Cell, Interference Coordination, Neighbor Node, Power Control
| [1] | Fratu O, Vulpe A, Craciunescu R, et al. Small Cells in Cellular Networks: Challenges of Future HetNets [J]. Wireless Personal Communications, 2014, 78(3):1613-1627. |
| [2] | Cosovic M, Tsitsimelis A, Vukobratovic D, et al. 5G Mobile Cellular Networks: Enabling Distributed State Estimation for Smart Grids [J]. IEEE Communications Magazine, 2017, 55(10):62-69. |
| [3] | Chandrasekhar V, Andrews J G. Spectrum allocation in tiered cellular networks [J]. IEEE Transactions on Communications, 2009, 57(10):3059-3068. |
| [4] | Uygungelen S, Bauch G, Taoka H, et al. Protection of Cell-Edge Users in Wireless Systems by Using Almost Blank Subframes[C]// International Itg Conference on Systems, Communication and Coding. VDE, 2013:1-6. |
| [5] | Ozawa M, Ohtsuki T. Improvements of femtobase station resource utilisation and ABS assignment convergence for dynamic ABS assignment [J]. Iet Communications, 2017, 11(3):370-376. |
| [6] | Ming Gong, Pin-Han Ho, Chih-Hao Lin. A coordinated multi-point-based quality of service provision resource allocation scheme with inter-cell interference mitigation [J]. Wireless Communications and Mobile Computing, 2016, 16(6): 656-668. |
| [7] | Huang Peng, Huang Chen, Huang Peng, Huang Chen, Liao Xinqi, et al. Dynamic Enhanced Inter-cell Interference Coordination Scheme Based on Power Control in HetNet [J]. Computer Engineering, 2016, 42(12): 102-107, 111. |
| [8] | Wang H C, Woungang I, Ting K C, et al. Co-tier downlink interference management in dense femtocell networks [J]. International Journal of Communication Systems, 2016, 29(17):2534-2541. |
| [9] | Hang Chen. Research on Interference Coordination Algorithm for 5G Dense Networks [D]. Chongqing University of Posts and Telecommunications, 2016. |
| [10] | Gong Shengli, Jin Yong. Joint transmission-based clustering and power allocation algorithm in femtocell networks [J/OL]. 2018, 35(10). http://www.arocmag.com/article/02-2018-10-060.html. |
| [11] | Zhang Xin, Jin Chunfeng, Zhang Yan. Power control algorithm based on resource allocation in heterogeneous networks [J]. Computer engineering and design, 2017, 38(6):1446-1451. |
| [12] | Ericsson LTE KPI throughput calculator, CQI table. |
| [13] | Wang Juncai, Liu Tingting, Yang Chenyang, et al. Predictive Resource Allocation to Maximize the Throughput of Ultra-Dense Networks [J]. Journal of signal processing, 2017, 33(3):260-267. |
| [14] | Huang C, Chen Q, Tang L. Hybrid inter-cell interference management for ultra-dense heterogeneous network in 5G [J]. Science China Information Sciences, 2016, 59(8):082305. |
| [15] | ITU-R, (2009) Guidelines for Evaluation of Radio Interface Technologies for IMT-Advanced [R]. ITU-RM. 2135-1. |
APA Style
Zhenchao Wang, Lisha Bai. (2018). An Interference Coordination Scheme in Ultra-Dense Networks Based on Power Control. Advances in Wireless Communications and Networks, 4(2), 36-42. https://doi.org/10.11648/j.awcn.20180402.12
ACS Style
Zhenchao Wang; Lisha Bai. An Interference Coordination Scheme in Ultra-Dense Networks Based on Power Control. Adv. Wirel. Commun. Netw. 2018, 4(2), 36-42. doi: 10.11648/j.awcn.20180402.12
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Download@article{10.11648/j.awcn.20180402.12,
author = {Zhenchao Wang and Lisha Bai},
title = {An Interference Coordination Scheme in Ultra-Dense Networks Based on Power Control},
journal = {Advances in Wireless Communications and Networks},
volume = {4},
number = {2},
pages = {36-42},
doi = {10.11648/j.awcn.20180402.12},
url = {https://doi.org/10.11648/j.awcn.20180402.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.awcn.20180402.12},
abstract = {A large number of small cells are deployed in a traditional heterogeneous network to form an ultra-dense network. The ultra-dense network effectively increases the capacity of the network, but also introduces serious interference problems between low-power nodes. In order to solve the problem of downlink interference existing in the ultra-dense network, a new technical scheme based on power control (PCICS) is proposed. The PCICS scheme simultaneously determines the number of neighbor nodes around the central node and the size of the interference to the neighboring nodes as the determining node that needs to control the power. Then it translates the interference from neighboring nodes into its distance from the central node. It simplifies the method of determining the size of the interference. Then the node that meets the threshold condition is determined as the interference source node. Finally, the interference source node controls the transmission power under the condition of ensuring the normal communication of the user according to the feedback signal of the user. Therefore, the proposed solution minimizes interference to system users. Experimental data show that, compared to the TAPB algorithm, the average degree of system interference of the proposed scheme is basically the same. The average SINR is increased by 5~8dB. The average system throughput is increased by about 50%. Simulation results demonstrate that, in the case of increasing the interference source node judgment condition, the proposed scheme can effectively improve the system throughput and reduce the system power loss.},
year = {2018}
}
TY - JOUR T1 - An Interference Coordination Scheme in Ultra-Dense Networks Based on Power Control AU - Zhenchao Wang AU - Lisha Bai Y1 - 2018/10/27 PY - 2018 N1 - https://doi.org/10.11648/j.awcn.20180402.12 DO - 10.11648/j.awcn.20180402.12 T2 - Advances in Wireless Communications and Networks JF - Advances in Wireless Communications and Networks JO - Advances in Wireless Communications and Networks SP - 36 EP - 42 PB - Science Publishing Group SN - 2575-596X UR - https://doi.org/10.11648/j.awcn.20180402.12 AB - A large number of small cells are deployed in a traditional heterogeneous network to form an ultra-dense network. The ultra-dense network effectively increases the capacity of the network, but also introduces serious interference problems between low-power nodes. In order to solve the problem of downlink interference existing in the ultra-dense network, a new technical scheme based on power control (PCICS) is proposed. The PCICS scheme simultaneously determines the number of neighbor nodes around the central node and the size of the interference to the neighboring nodes as the determining node that needs to control the power. Then it translates the interference from neighboring nodes into its distance from the central node. It simplifies the method of determining the size of the interference. Then the node that meets the threshold condition is determined as the interference source node. Finally, the interference source node controls the transmission power under the condition of ensuring the normal communication of the user according to the feedback signal of the user. Therefore, the proposed solution minimizes interference to system users. Experimental data show that, compared to the TAPB algorithm, the average degree of system interference of the proposed scheme is basically the same. The average SINR is increased by 5~8dB. The average system throughput is increased by about 50%. Simulation results demonstrate that, in the case of increasing the interference source node judgment condition, the proposed scheme can effectively improve the system throughput and reduce the system power loss. VL - 4 IS - 2 ER -
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