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Journal articles on the topic 'Inter-cellular Interference'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Wang, Yafeng, Guoxing Wei, and Wei Xiang. "Inter-cell interference modeling for cellular networks." Telecommunication Systems 53, no. 1 (May 2013): 99–105. http://dx.doi.org/10.1007/s11235-013-9682-5.

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2

WANG, Ya-feng, Guo-xing WEI, and Wei XIANG. "Approximate inter-cell interference modeling for cellular network." Journal of China Universities of Posts and Telecommunications 18, no. 3 (June 2011): 75–79. http://dx.doi.org/10.1016/s1005-8885(10)60066-0.

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3

Xie, Sheng-dong, and Meng Wu. "Analysis of Inter-cell Interference in Multimedia Cellular CDMA." Journal of Electronics & Information Technology 30, no. 5 (March 14, 2011): 1159–62. http://dx.doi.org/10.3724/sp.j.1146.2006.01616.

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4

Zhang, Zihan, and Guanding Yu. "FdICIC: Inter-cell Interference Coordination for Full-Duplex Cellular Systems." Wireless Personal Communications 101, no. 1 (May 14, 2018): 1–22. http://dx.doi.org/10.1007/s11277-018-5627-3.

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5

Jung, Sun-Young, Do-Hoon Kwon, Se-Hoon Yang, and Sang-Kook Han. "Inter-cell interference mitigation in multi-cellular visible light communications." Optics Express 24, no. 8 (April 11, 2016): 8512. http://dx.doi.org/10.1364/oe.24.008512.

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6

Tianmin Ren and R. J. La. "Downlink beamforming algorithms with inter-cell interference in cellular networks." IEEE Transactions on Wireless Communications 5, no. 10 (October 2006): 2814–23. http://dx.doi.org/10.1109/twc.2006.04580.

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7

Zhu, Yuan-ping, Jing Xu, Yang Yang, and Jiang Wang. "Statistical Analysis of the Uplink Inter-cell Interference for Cellular Systems." Journal of Electronics & Information Technology 35, no. 8 (February 25, 2014): 1971–76. http://dx.doi.org/10.3724/sp.j.1146.2012.01613.

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8

Zhang, Xuefei, Xiaofeng Tao, Qimei Cui, and Juan Bai. "Intra‐cell and inter‐cell interference‐constrained D2D communication underlaying cellular networks." Electronics Letters 51, no. 14 (July 2015): 1117–19. http://dx.doi.org/10.1049/el.2015.0197.

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9

Sciancalepore, Vincenzo, Ilario Filippini, Vincenzo Mancuso, Antonio Capone, and Albert Banchs. "A Multi-Traffic Inter-Cell Interference Coordination Scheme in Dense Cellular Networks." IEEE/ACM Transactions on Networking 26, no. 5 (October 2018): 2361–75. http://dx.doi.org/10.1109/tnet.2018.2866410.

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10

Ullah, Rahat, Fahim Ullah, Zubair Khalid, and Hashim Safdar. "A REVIEW OF INTER CELL INTERFERENCE MANAGEMENT IN REGULAR AND IRREGULAR GEOMETRY CELLULAR NETWORKS." Jurnal Teknologi 83, no. 5 (August 1, 2021): 45–56. http://dx.doi.org/10.11113/jurnalteknologi.v83.16866.

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This paper reviews the inter-cell interference (ICI) mitigation approaches in the OFDMA based multicellular networks with more emphasis on the frequency reused based ICI coordination schemes in the downlink systems. The geometry of the network severely affects the Signal to Interference and Noise Ratio (SINR); therefore, the wireless cellular systems are strongly dependent on the spatial BSs configuration and topology of a network. ICI mitigation techniques for both regular and irregular geometry networks are analyzed and a qualitative comparison along with the future research directions are presented.

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11

Maeng, Sung, Su Park, and Yong Cho. "Hybrid Beamforming for Reduction of Inter-Beam Interference in Millimeter-Wave Cellular Systems." Sensors 18, no. 2 (February 9, 2018): 528. http://dx.doi.org/10.3390/s18020528.

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12

Kim, Cha-Ju, and Sang-Won Min. "An Efficient Inter-Cell Interference Mitigation Scheme for Proximity Service in Cellular Networks." Journal of The Korea Institute of Intelligent Transport Systems 17, no. 1 (February 28, 2018): 100–113. http://dx.doi.org/10.12815/kits.2018.17.1.100.

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13

Hamza, Abdelbaset S., Shady S. Khalifa, Haitham S. Hamza, and Khaled Elsayed. "A Survey on Inter-Cell Interference Coordination Techniques in OFDMA-Based Cellular Networks." IEEE Communications Surveys & Tutorials 15, no. 4 (2013): 1642–70. http://dx.doi.org/10.1109/surv.2013.013013.00028.

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14

Kosta, C., B. Hunt, A. U. Quddus, and R. Tafazolli. "A Distributed Method of Inter-Cell Interference Coordination (ICIC) Based on Dual Decomposition for Interference-Limited Cellular Networks." IEEE Communications Letters 17, no. 6 (June 2013): 1144–47. http://dx.doi.org/10.1109/lcomm.2013.040913.130224.

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15

Trejo Narváez, Omar Albeiro, and Víctor Fabián Miramá Pérez. "Machine learning algorithms for inter-cell interference coordination." Sistemas y Telemática 16, no. 46 (July 6, 2018): 37–57. http://dx.doi.org/10.18046/syt.v16i46.3034.

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The current LTE and LTE-A deployments require larger efforts to achieve the radio resource management. This, due to the increase of users and the constantly growing demand of services. For this reason, the automatic optimization is a key point to avoid issues such as the inter-cell interference. This paper presents several proposals of machine-learning algorithms focused on this automatic optimization problem. The research works seek that the cellular systems achieve their self-optimization, a key concept within the self-organized networks, where the main objective is to achieve that the networks to be capable to automatically respond to the particular needs in the dynamic network traffic scenarios.

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16

Qasim, Muhammad, Muhammad Sajid Haroon, Muhammad Imran, Fazal Muhammad, and Sunghwan Kim. "5G Cellular Networks: Coverage Analysis in the Presence of Inter-Cell Interference and Intentional Jammers." Electronics 9, no. 9 (September 20, 2020): 1538. http://dx.doi.org/10.3390/electronics9091538.

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Intentional jammers (IJs) can be used by attackers for the launching of distributed denial-of-service attacks in 5G cellular networks. These adversaries are assumed to have adequate information about the network specifications, such as duration, transmit power and positions. With these assumptions, the IJs gain the ability to disrupt the legitimate communication of the network. Heterogeneous cellular networks (HetNets) can be considered a vital enabler for 5G cellular networks. Small base stations (SBSs) are deployed inside macro base station (MBS) to improve spectral efficiency and capacity. Due to orthogonal frequency division multiplexing assumption, HetNets’ performance is mainly limited by inter-cell interference (ICI). Additionally, there exist IJs-interference (IJs-I), which significantly degrades the network coverage depending on the IJs’ transmit power levels and their proximity with the target. The proposed work explores the uplink (UL) coverage performance of HetNets in the presence of both IJs-I and ICI. Moreover, to reduce the effects of ICI and IJs-I, reverse frequency allocation (RFA) is employed which is a proactive interference abating scheme. In RFA, different sub-bands of the available spectrum are used by MBS and SBS in alternate regions. The proposed setup is evaluated both analytically as well as with the help of simulation. The results demonstrate considerable UL coverage performance improvement by effectively mitigating IJs-I and ICI.

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17

SEKI, Hiroyuki, and Fumiyuki ADACHI. "Centralized Inter-Cell Interference Coordination Using Multi-Band 3D Beam-Switching in Cellular Networks." IEICE Transactions on Communications E98.B, no. 7 (2015): 1363–72. http://dx.doi.org/10.1587/transcom.e98.b.1363.

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18

GIL, Gye-Tae, Seong-Choon LEE, and Dong-Hoi KIM. "A Dynamic Resource Allocation Scheme for Inter-Cell Interference Coordination in Cellular OFDMA Systems." IEICE Transactions on Communications E94-B, no. 3 (2011): 758–64. http://dx.doi.org/10.1587/transcom.e94.b.758.

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19

Chae, Sung Ho, Sang-Woon Jeon, and Cheol Jeong. "Efficient Resource Allocation for IoT Cellular Networks in the Presence of Inter-Band Interference." IEEE Transactions on Communications 67, no. 6 (June 2019): 4299–308. http://dx.doi.org/10.1109/tcomm.2019.2906230.

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20

Sha, Ziyuan, Zhaocheng Wang, Sheng Chen, and Lajos Hanzo. "Graph Theory Based Beam Scheduling for Inter-Cell Interference Avoidance in MmWave Cellular Networks." IEEE Transactions on Vehicular Technology 69, no. 4 (April 2020): 3929–42. http://dx.doi.org/10.1109/tvt.2020.2970989.

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21

Olyaee, Maryam, Mohsen Eslami, Javad Haghighat, and Walaa Hamouda. "Performance Analysis of Cellular Downlink With Fluctuating Two-Ray Channels Under Inter-Cell Interference." IEEE Transactions on Vehicular Technology 69, no. 11 (November 2020): 13437–49. http://dx.doi.org/10.1109/tvt.2020.3028183.

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22

Mhatre, Vivek, and Catherine Rosenberg. "Impact of Network Load on Forward Link Inter-Cell Interference in Cellular Data Networks." IEEE Transactions on Wireless Communications 5, no. 12 (December 2006): 3651–61. http://dx.doi.org/10.1109/twc.2006.256988.

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23

Joudeh, Hamdi, and Bruno Clerckx. "On the Optimality of Treating Inter-Cell Interference as Noise in Uplink Cellular Networks." IEEE Transactions on Information Theory 65, no. 11 (November 2019): 7208–32. http://dx.doi.org/10.1109/tit.2019.2913633.

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24

Wang, Huiqi, Wangyong Lv, Hao Peng, and Guichuan Zhou. "Coordinative Stochastic Resonance Filtering Based Inter-cell Interference Suppression in FrFT-OFDMA Cellular Systems." Wireless Personal Communications 83, no. 1 (February 24, 2015): 427–40. http://dx.doi.org/10.1007/s11277-015-2401-7.

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25

Hajisami, Abolfazl, and Dario Pompili. "Cloud-BSS: Joint intra- and inter-Cluster interference cancellation in uplink 5G cellular networks." Computer Networks 147 (December 2018): 180–90. http://dx.doi.org/10.1016/j.comnet.2018.10.007.

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26

Kim, Tae-Kyoung. "Antenna Combining for Interference Limited MIMO Cellular Networks." Sensors 20, no. 15 (July 29, 2020): 4210. http://dx.doi.org/10.3390/s20154210.

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This paper considers a downlink cellular network where multi-antenna base stations (BSs) simultaneously serve their associated multi-antenna users. Each BS is distributed according to a homogeneous Poisson point process and uses zero-forcing beamforming for spatial division multiplexing with partial channel state information (CSI). During downlink transmission, each user combines the multiple antenna outputs and quantizes the CSI to feed back to its associated BS. Specifically, this paper focuses on antenna combining at the receiver. Conventional quantization-based combining (QBC) effectively reduces the quantization error; however, inter-cell interference in the cellular networks degrades the QBC gain. This degradation is analyzed using a spherical-cap approximation of vector quantization (SCVQ). From the SCVQ, the ergodic spectral efficiency and the optimal number of feedback bits are investigated, and it is shown that the QBC degrades the gain of the effective channel. To address this problem, an optimization solution is proposed that selects the antenna combining to maximize the spectral efficiency. The solution is also derived by considering the expected beamforming vectors of other cells. It is demonstrated by simulation that the proposed solution outperforms the conventional methods.

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27

Sergeev, A. M., and N. Sh Blaunstein. "Evolution of multiple-access networks cellular and non-cellular — in historical perspective. Part 1." Information and Control Systems, no. 4 (September 23, 2018): 86–104. http://dx.doi.org/10.31799/1684-8853-2018-4-86-104.

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Introduction:The goal of this review is the analysis of evolution of the current and novel wireless networks, from secondgeneration (2D)tofifth generation(5G),as well as changes in technologies and their corresponding theoretical background andprotocols -from Bluetooth, WLAN, WiFi and WiMAXtoLTE, OFDM/OFDMA, MIMO and LTE/MIMO advanced technologies with new hierarchy of cellular maps design — femto/pico/micro/macro.Methods:We use new theoretical frameworkstodescribe advanced technologies, such as multicarrier diversity technique, OFDM and OFDM novel approach, new aspects ofMIMO description based on multi-beam antennas, design of various cellular maps based on new algorithms of femto/pico/micro/macrocell deployment, and the methodology of a new MIMO/LTE system integration based on multi-beam antennas.Results:We have created a new methodology for multi-carrier diversity description of novel multiple-access networks, forthe usage of OFDM/OFDMA modulation in ordertoovercome inter-user and inter-symbol interference in multiple-access networks, as well as multiplicative noises in multiple-access wireless networks caused by multi-ray phenomena. Finally, wehave suggested howtoovercome the propagation effects occurring in the terrestrial communication channels by using acombination of MIMO and LTE technologies based on multi-beam antennas. For these purposes, we present a new stochasticapproach which takes into account the terrain features, such as buildings' overlay profile, buildings' density around the base station and each user's antennas, andsoforth. These parameters allow ustoestimate the effects of fading as a multiplicativenoise source.Practical relevance:The new methodology of estimating the effects created by multiplicative noise and inter-user and inter-symbol interference in terrestrial wireless networks allows ustopredict a-priory practical aspects of the currentand new multiple-access wireless communication systems, like the potential number of users or the spectral efficiency ofuser channels for various configurations of cell deployment: femto, pico, micro, and macro, as well as the novel MIMO/LTE system configurations for future networks of the 4th and 5th generations.

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28

ZHANG, Hui, Xiaodong XU, Xiaofeng TAO, Ping ZHANG, and Ping WU. "An Inter-Cell Interference Mitigation Method for OFDM-Based Cellular Systems Using Independent Component Analysis." IEICE Transactions on Communications E92-B, no. 10 (2009): 3034–42. http://dx.doi.org/10.1587/transcom.e92.b.3034.

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29

Kim, Taehoon, and Bang Chul Jung. "An Enhanced Random Access With Inter-Frame Successive Interference Cancellation for Stationary Cellular IoT Networks." IEEE Wireless Communications Letters 9, no. 5 (May 2020): 606–10. http://dx.doi.org/10.1109/lwc.2019.2962398.

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30

Colpaert, Achiel, Evgenii Vinogradov, and Sofie Pollin. "Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models." Sensors 18, no. 12 (December 6, 2018): 4311. http://dx.doi.org/10.3390/s18124311.

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Cellular connectivity for UAV systems is interesting because it promises coverage in beyond visual line of sight scenarios. Inter-cell interference has been shown to be the main limiting factor at high altitudes. Using a realistic 3D simulator model, with real base station locations, this study confirms that UAVs at high altitudes suffer from significant interference, resulting in a worse coverage compared to ground users. When replacing the existing base stations by mmWave cells, our results indicate that ground coverage is decreased to only 90%, while UAVs just above rooftop level have a coverage probability of 100%. However, UAVs at higher altitude still suffer from excessive interference. Beamforming has the potential to improve mmWave link budget and to decrease interference and is for this reason a promising technology for ensuring connectivity to aerial users.

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31

Kim, Jeehyeong, Teasung Kim, Jaewon Noh, and Sunghyun Cho. "Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks." Sensors 18, no. 8 (August 13, 2018): 2661. http://dx.doi.org/10.3390/s18082661.

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Wireless multimedia sensor networks (WMSNs) have been improved with the increase of multimedia data. In WMSNs, a centralization problem can occur because of large-size multimedia data. It is necessary to consider device-to-device (D2D) communication. We focus on D2D WMSN based on cellular networks. Sensors in the D2D WMSN can non-orthogonally use a cellular link, which is a wireless communication channel between a sensor and an aggregator, and a D2D link, which is the channel between sensors. As a result, it has more complex interference environments than an ordinary system. Therefore, it is a key factor to manage the varying inter-cell interference effectively for throughput improvement. We propose an interference mitigation scheme that can be applied to D2D WMSN. In the proposed scheme, a cell is separated into six zones and orthogonal frequency is allocated to each zone for cellular links. The frequencies allocated to cellular links are reused by D2D links of neighboring zones. The simulation results show that the throughput of the proposed scheme increases two times compared to a static frequency allocation scheme.

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32

Sergeev, A. M., and N. Sh Blaunstein. "Evolution of multiple-access networks - cellular and non-cellular - in historical perspective. Part 3." Information and Control Systems, no. 6 (December 18, 2018): 82–94. http://dx.doi.org/10.31799/1684-8853-2018-6-82-94.

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Introduction:The goal of this issue is the analysis of evolution of the current and novel wireless networks, from second generation (2D) to fifth generation (5G), as well as changes in technologies and their corresponding theoretical background and protocols — from Bluetooth, WLAN, WiFi and WiMAX to LTE, OFDM/OFDMA, MIMO and LTE/MIMO advanced technologies with new hierarchy of cellular maps design — femto/plco/mlcro/macro.Methods:We use new theoretical frameworks for description of the advanced technologies, such as multicarrier diversity technique, OFDM and OFDM novel approach, MIMO aspects description based on multi-beam antennas approach, various cellular maps design based on a new algorithms offemto/pico/micro/macrocell deployment, and a new methodology of a new MIMO/LTEsystem integration based on multi-beam antennas.Results:We have created a new methodology of multi-carrier diversity description for novel multiple-access networks, of usage of OFDM/OFDMA modulation to obey inter-user and inter-symbol interference in multiple-access networks, of how to obey the multiplicative noises occurring in the multiple-access wireless networks, caused by multi-ray phenomena, and finally, of how to overcome propagation effects occurring in the terrestrial communication links by use combination of MIMO and LTE technologies based on multi-beam antennas. For these purposes we present new stochastic approach that accounts for the terrain features, such as buildings' overlay profile, buildings' density around the base station and each user antennas, and so forth. These parameters allow us to estimate for each situation occurs at the built-up terrain area the effects of fading, as a source of multiplicative noise.Practical relevance:New methodology of how to estimate effects of multiplicative noise, inter-user and inter-symbol interference, occurring in the terrestrial wireless networks, allows us to predict a-priory practical aspects of the current and new multiple-access wireless communication networks, such as: the users' capacity and user's links spectral efficiency for various configurations of cells deployment — femto, pico, micro, and macro, as well as the novel MIMO/LTEsystem configuration for future networks of 4thand 5thgeneration deployment.

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33

Sergeev, A. M., and N. Sh Blaunstein. "Evolution of multiple-access networks — cellular and non-cellular — in historical perspective. Part 4." Information and Control Systems, no. 1 (February 19, 2019): 65–75. http://dx.doi.org/10.31799/1684-8853-2019-1-65-75.

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Introduction:The goal of this issue is the analysis of evolution of the current and novel wireless networks, from second generation (2G) to fifth generation (5G), as well as changes in technologies and their corresponding theoretical background and protocols — from Bluetooth, WLAN, WiFi and WiMAX to LTE, OFDM/OFDMA, MIMO and LTE/MIMO advanced technologies with new hierarchy of cellular maps design — femto/pico/micro/macro.Methods:We use new theoretical frameworks for description of the advanced technologies, such as multicarrier diversity technique, OFDM and OFDM novel approach, MIMO aspects description based on multi-beam antennas approach, various cellular maps design based on a new algorithms of femto/pico/micro/macrocell deployment, and a new methodology of a new MIMO/LTE system integration based on multi-beam antennas.Results:We have created a new methodology of multi-carrier diversity description for novel multiple-access networks, of usage of OFDM/OFDMA modulation to obey inter-user and inter-symbol interference in multiple-access networks, of how to obey the multiplicative noises occurring in the multiple-access wireless networks, caused by multi-ray phenomena, and finally, of how to overcome propagation effects occurring in the terrestrial communication links by use combination of MIMO and LTE technologies based on multi-beam antennas. For these purposes we present new stochastic approach that accounts for the terrain features, such as buildings’ overlay profile, buildings’ density around the base station and each user antennas, and so forth. These parameters allow us to estimate for each situation occurs at the built-up terrain area the effects of fading, as a source of multiplicative noise.Practical relevance:New methodology of how to estimate effects of multiplicative noise, inter-user and inter-symbol interference, occurring in the terrestrial wireless networks, allows us to predict a-priory practical aspects of the current and new multiple-access wireless communication networks, such as: the users’ capacity and user’s links spectral efficiency for various configurations of cells deployment — femto, pico, micro, and macro, as well as the novel MIMO/LTE system configuration for future networks of 4th and 5th generation deployment.

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34

Sastry, Anitha S., and Akhila S. "Resource Allocation using Dynamic Fractional Frequency Reuse." International Journal of Wireless Networks and Broadband Technologies 6, no. 1 (January 2017): 34–44. http://dx.doi.org/10.4018/ijwnbt.2017010103.

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This article describes how a multi user cellular system insists on having increase in the spectral efficiency for the number of users and base stations. As far as cellular structures are concerned, the users at the edges experience inter cellular interference (ICI) than the users at the cell center. This is due to lack of resource allocation at cell edges. To improve the throughput at the edges a technique called Fractional Frequency Reuse (FFR) is employed. This article explores the Dynamic FFR(DFFR) in OFDMA system to improve the overall throughput.

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35

Sreenivas, Banda. "Effect of Load Matrix Method in Removing the Interference in Inter and Intra Cellular Wireless Networks." International Journal of Advanced Smart Sensor Network Systems 2, no. 3 (July 31, 2012): 27–36. http://dx.doi.org/10.5121/ijassn.2012.2303.

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36

Mehta, Mahima, Osianoh Glenn Aliu, Abhay Karandikar, and Muhammad Ali Imran. "A SELF-ORGANIZED RESOURCE ALLOCATION USING INTER-CELL INTERFERENCE COORDINATION (ICIC) IN RELAY-ASSISTED CELLULAR NETWORKS." ICTACT Journal on Communication Technology 02, no. 02 (June 1, 2011): 300–313. http://dx.doi.org/10.21917/ijct.2011.0043.

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37

Huang, Huang, and Vincent K. N. Lau. "Delay-Optimal User Scheduling and Inter-Cell Interference Management in Cellular Network via Distributive Stochastic Learning." IEEE Transactions on Wireless Communications 9, no. 12 (December 2010): 3790–97. http://dx.doi.org/10.1109/twc.2010.092810.100143.

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38

., Srinivas Karedla. "AN APPROACH TO CONTROL INTER CELLULAR INTERFERENCE USING LOAD MATRIX IN MULTI CARRIER MOBILE COMMUNICATION SYSTEMS." International Journal of Research in Engineering and Technology 04, no. 02 (February 25, 2015): 483–87. http://dx.doi.org/10.15623/ijret.2015.0402066.

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39

Wang, Jian-Sing, and Jeng-Shin Sheu. "Study of Handover Techniques for 4G Network MIMO Systems." International Journal of Communications 15 (April 23, 2021): 10–16. http://dx.doi.org/10.46300/9107.2021.15.3.

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For the upcoming 4G systems, network multiple-input multiple-output (MIMO) and inter-cell interference coordination (ICIC) are two of key techniques adopted in 4G systems to mitigate the serious inter-cell interference (ICI) and improve coverage and cell-edge throughput. Network MIMO is referred to as coordinated multi-point (CoMP) in LTE-A. In this paper, we propose a simulation platform to analyze the handover issue for downlink CoMP transmissions in LTE-A cellular systems. Among the variety of ICIC strategies, we apply the widely adopted soft frequency reuse (SFR) and the fractional frequency reuse (FFR) schemes. Both schemes are based on the idea of applying a frequency reuse factor of one in cell-center areas, and a higher reuse factor in cell-edge areas. Therefore, the ICI is reduced at the expense of the available frequency resources for each cell.

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40

Iskandar, Iskandar, I. Setyawan, and H. Nuraini. "Inter-cell Interference Management Technique for Multi-Cell LTE-A Network." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (October 1, 2017): 2696. http://dx.doi.org/10.11591/ijece.v7i5.pp2696-2705.

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In modern cellular system such as LTE Advanced (LTE-A), frequency reuse scheme is targeted to be applied to fulfill the requirement of high capacity broadband access and high spectrum efficiency. But this kind of frequency planning may lead to the worse inter-cell interference (ICI) level experienced especially by a user located at the cell edge. Soft Frequency Reuse (SFR) is considered as an effective way to mitigate inter-cell interference and maintain capacity. We propose a power division SFR, known as multi level SFR technique to minimize ICI in a designed LTE-A network for sub-urban environment. Service area of LTE-A network was first developed to deploy particular number of eNB by using LTE network planning tools in the frequency of 1800 MHz with the use of SISO (Single Input Single Output) antennas. Coverage dimensioning and propagation consideration determine LTE-A parameters which were used in the simulation. Monte carlo simulation is executed to examine the performance of SFR for LTE-A downlink transmission to address different power ratio and traffic loads problem. Both performance of cell edge users and overall cell performance are evaluated in terms of CINR, BLER, and throughput. Performance with SFR is also compared with the classical frequency reuse one and three.

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41

Lee, J. W., and Y. H. Lee. "Hybrid link adaptation for inter-carrier interference adjustment in orthogonal frequency division multiple access cellular uplink systems." IET Communications 6, no. 16 (November 6, 2012): 2582–92. http://dx.doi.org/10.1049/iet-com.2011.0815.

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42

Lee, Woong-Hee, Jeong-Sik Choi, Yong-Hwa Kim, Jong-Ho Lee, and Seong-Cheol Kim. "Adaptive Sector Coloring Game for Geometric Network Information-Based Inter-Cell Interference Coordination in Wireless Cellular Networks." IEEE/ACM Transactions on Networking 26, no. 1 (February 2018): 288–301. http://dx.doi.org/10.1109/tnet.2017.2780187.

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43

Joudeh, Hamdi, Xinping Yi, Bruno Clerckx, and Giuseppe Caire. "On the Optimality of Treating Inter-Cell Interference as Noise: Downlink Cellular Networks and Uplink-Downlink Duality." IEEE Transactions on Information Theory 66, no. 11 (November 2020): 6939–61. http://dx.doi.org/10.1109/tit.2020.3001219.

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44

Li, Yue, Liang Ye, and Xuejun Sha. "Time-Frequency Energy Sensing of Communication Signals and Its Application in Co-Channel Interference Suppression." Sensors 18, no. 7 (July 21, 2018): 2378. http://dx.doi.org/10.3390/s18072378.

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As the number of mobile users and video traffics grow explosively, the data rate demands increase tremendously. To improve the spectral efficiency, the spectrum are reused inter cell or intra cell, such as the ultra dense network with multi-cell or the cellular network with Device-to-Device communications, where the co-channel interferences are brought and needs to be suppressed. According to the time-frequency energy sensing to the communication signals, the desired signal and the interference signal have different energy concentration areas on the time frequency plane, which provide opportunities to suppress the co-channel interference with time varying filter. This paper analyzes the time-frequency distributions of the Gaussian pulse shaping signals, discusses the effect of the analyzing window length on the time-frequency resolution, exploits the equivalence between the time frequency analysis at the baseband and at the radio front end, and finally reveals the advantages of the proposed masking threshold constrained time varying filter based co-channel interference mitigation method. The pass region for the linear time varying filter is generated according to the time-varying energy characteristics of the I/Q separated 4-QAM pulse shaping signals, where the optimum masking threshold is obtained by the optimum-BER criterion. The proposed co-channel interference suppression method is evaluated in aspect of BER performance, and simulation results show that the proposed method outperforms existing methods with low-pass or band-pass filters.

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Zhu, Kun Yan, and Subba Reddy Palli. "Mechanisms, Applications, and Challenges of Insect RNA Interference." Annual Review of Entomology 65, no. 1 (January 7, 2020): 293–311. http://dx.doi.org/10.1146/annurev-ento-011019-025224.

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The RNA interference (RNAi) triggered by short/small interfering RNA (siRNA) was discovered in nematodes and found to function in most living organisms. RNAi has been widely used as a research tool to study gene functions and has shown great potential for the development of novel pest management strategies. RNAi is highly efficient and systemic in coleopterans but highly variable or inefficient in many other insects. Differences in double-stranded RNA (dsRNA) degradation, cellular uptake, inter- and intracellular transports, processing of dsRNA to siRNA, and RNA-induced silencing complex formation influence RNAi efficiency. The basic dsRNA delivery methods include microinjection, feeding, and soaking. To improve dsRNA delivery, various new technologies, including cationic liposome–assisted, nanoparticle-enabled, symbiont-mediated, and plant-mediated deliveries, have been developed. Major challenges to widespread use of RNAi in insect pest management include variable RNAi efficiency among insects, lack of reliable dsRNA delivery methods, off-target and nontarget effects, and potential development of resistance in insect populations.

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SUKACHEV, E. A. "THE DYNAMICS OF THE INTERFERENCE SITUATION IN THE DOWNLINK DIRECTION OF THE MOBILE COMMUNICATION NETWORK WITH CDMA TECHNOLOGY." Digital Technologies 26 (2019): 61–68. http://dx.doi.org/10.33243/2313-7010-26-61-68.

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The work is devoted to the investigation of inter-cell interference in the radio access network, provided that subscribers are moving in cells along the route indicated earlier. Very often, the trajectory of the movement of mobile stations coincides with the grid of city streets, where subscribers are moving in public transport. For a network where the cluster dimension is K = 1, the proposed methodology for studying changes in the level of intra-system interference at the input of the receiver of a mobile station when a subscriber is moving along the given path. The features of the situation where the control mode of the transmitter power of the base station is used in each cell, which provides a constant power level of the input signal when the subscriber is moving within the cell, are analyzed. The level of inter-cell interference is estimated as one of the factors on which the quality of services depends, namely, the signal-to-interference ratio at the input of the receiver of the mobile station. For specific trajectories of the movement of subscribers in neighboring cells, a law of changing the transmitter power of the base station was found, which interferes with the receiver of the mobile station in the neighboring cell. Estimated ratios are obtained for determining the level of interference when subscribers in neighboring cells are moving along parallel streets. This assessment of the dependence of the signal / interference ratio at the input of the subscriber's receiver on the speed and direction of its movement. This dependence shows that serious problems with the quality of service provided by the operator will not arise. Such an investigation allows modeling the cellular network in order to optimize the work on improving the services provided to mobile subscribers.

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Seol, Changkyu, Kyungwhoon Cheun, and Sungnam Hong. "A Statistical Inter-Cell Interference Model for Downlink Cellular OFDMA Networks Under Log-Normal Shadowing with Ricean Fading." IEEE Communications Letters 14, no. 11 (November 2010): 1011–13. http://dx.doi.org/10.1109/lcomm.2010.091710.101048.

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Min Sagong and Kyungwhoon Cheun. "A Statistical Inter-Cell Interference Model for Uplink Cellular OFDMA Networks Under Log-Normal Shadowing and Rayleigh Fading." IEEE Communications Letters 16, no. 6 (June 2012): 824–27. http://dx.doi.org/10.1109/lcomm.2012.040912.112469.

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Zheng, Wei, Bin Li, Shu Bo Ren, Jiang Chen, and Jian Jun Wu. "Interference Modeling and Analysis for Inclined Projective Multiple Beams of GEO Satellite Communication Systems." Advanced Materials Research 756-759 (September 2013): 1204–9. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1204.

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In multi-beam satellite systems, Inter-Beam Interference (IBI) has a great effect on system performance. Within range of satellite coverage area, inclined projective multiple beams give rise to elliptic beam projections, resulting in that the distribution of beam projections is different from traditional cellular distribution. In this paper, an Inclined Projection (IP) model is proposed for IBI in OFDMA based GEO satellite communication systems, and corresponding analysis is also included. A comparison of carrier to interference power ratio (C/I) of users at the center of each cell with and without the consideration of IP is made, based on the simulation using different Frequency Reuse (FR) factor. The corresponding conclusions are presented. This research can provide reference for later satellite beam planning.

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Choi, Hyun-Ho. "User Scheduling Algorithm Based on Signal Quality and Inter-User Interference for Outage Minimization in Full-Duplex Cellular Networks." Journal of the Korea Institute of Information and Communication Engineering 19, no. 11 (November 30, 2015): 2576–83. http://dx.doi.org/10.6109/jkiice.2015.19.11.2576.

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