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Journal articles on the topic 'Networks in conditions of interference'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Ruan, Liangzhong, Vincent K. N. Lau, and Moe Z. Win. "The Feasibility Conditions for Interference Alignment in MIMO Networks." IEEE Transactions on Signal Processing 61, no. 8 (2013): 2066–77. http://dx.doi.org/10.1109/tsp.2013.2241056.

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2

Malakhova, Ekaterina Yu, Konstantin Yu Shelepin, and Yuriy E. Shelepin. "Detection and recognition of images under interference conditions." Journal of Optical Technology 91, no. 8 (2024): 547. https://doi.org/10.1364/jot.91.000547.

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Subject of study. This study investigates human visual perception under noise conditions and models these mechanisms using generative neural networks. Aim of study. We aimed to understand how humans recognize visual signals under interference conditions and internal noise limitations and to develop effective computing technologies that implement heuristic principles of the visual system. Method. We analyzed psychophysical and neurophysiological data to understand perception efficiency, internal noise, and image reconstruction. We then modeled these perception mechanisms using generative neural

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Yang, Weiyu, Jia Wu, and Jingwen Luo. "Effective Data Transmission and Control Based on Social Communication in Social Opportunistic Complex Networks." Complexity 2020 (June 8, 2020): 1–20. http://dx.doi.org/10.1155/2020/3721579.

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In opportunistic complex networks, information transmission between nodes is inevitable through broadcast. The purpose of broadcasting is to distribute data from source nodes to all nodes in the network. In opportunistic complex networks, it is mainly used for routing discovery and releasing important notifications. However, when a large number of nodes in the opportunistic complex networks are transmitting information at the same time, signal interference will inevitably occur. Therefore, we propose a low-latency broadcast algorithm for opportunistic complex networks based on successive inter

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Tian, Run, Lin Ma, Zhe Wang, and Xuezhi Tan. "Cognitive Interference Alignment Schemes for IoT Oriented Heterogeneous Two-Tier Networks." Sensors 18, no. 8 (2018): 2548. http://dx.doi.org/10.3390/s18082548.

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This paper considers interference management and capacity improvement for Internet of Things (IoT) oriented two-tier networks by exploiting cognition between network tiers with interference alignment (IA). More specifically, we target our efforts on the next generation two-tier networks, where a tier of femtocell serving multiple IoT devices shares the licensed spectrum with a tier of pre-existing macrocell via a cognitive radio. Aiming to manage the cross-tier interference caused by cognitive spectrum sharing as well as ensure an optimal capacity of the femtocell, two novel self-organizing co

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5

Żotkiewicz, Mateusz. "Max-Min Fairness in WMNs with Interference Cancelation Using Overheard Transmissions." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/625642.

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We show an impact of using interference cancelation mechanisms for signals that have been overheard in the past on performance of fair wireless mesh networks. In our research we show that even in those very restricted conditions and max-min cost function, the idea of interference cancelation can significantly increase the capacity of such networks. In order to approximate possible advantages of using interference cancelation in the considered conditions, we propose a novel MIP model that allows for calculating perfect scheduling and maximal throughput in a network. We compare the results with

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Huang, Tingpei, Shibao Li, Xiaoxuan Lu, and Shaoshu Gao. "An Interference-Aware Rate and Channel Adaptation Scheme for Dense IEEE 802.11n Networks." Wireless Communications and Mobile Computing 2019 (April 3, 2019): 1–14. http://dx.doi.org/10.1155/2019/1902463.

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Rate adaptation, which dynamically chooses transmission rate provided at the physical layer according to the current channel conditions, is a fundamental resource management issue in IEEE 802.11 networks with the goal of maximizing the network throughput. Traditional rate adaptation algorithms for IEEE 802.11n networks do not consider the interference problem, which becomes much more serious due to the rapid deployment of IEEE 802.11n devices and large number of mobile terminals. In this paper, an interference-aware rate and channel adaptation scheme RaCA for intensive IEEE 802.11n networks wa

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7

Androon, A., and O. V. Tikhonova. "Impacts of noise and interference on the bit error rate of the FBMC-OQAM modulation scheme in 5G systems." Russian Technological Journal 12, no. 3 (2024): 46–54. http://dx.doi.org/10.32362/2500-316x-2024-12-3-46-54.

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Objectives. The work sets out to evaluate the noise immunity of the signal modulation method in 5G networks using a filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) and to analyze the bit error rate (BER).Methods. In the work, probability theory and mathematical statistics methods are applied according to computer modeling approaches.Results. An analysis of BER for the signal modulation method in 5G networks, which uses a bank of filters with multiple carriers with offset quadrature amplitude modulation under noise conditions, is presented. The resistance of the

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8

Vodopianov, Serhii, Oksana Martynova, and Arkadii Krainosvit. "Development of a method of analysis of energy and information characteristics of wireless networks of critical application under conditions of limitations on the signal/(interference plus noise) ratio." Technology audit and production reserves 2, no. 1(70) (2023): 30–34. http://dx.doi.org/10.15587/2706-5448.2023.278280.

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The object of the research, the results of which are presented in the article, is the process of analyzing the energy and information characteristics of wireless networks of critical application. The presented article examines the problems of information and telecommunication systems of air transport as hard real-time systems. Thanks to the development of methods for analyzing the bandwidth of heterogeneous networks that function under the conditions of external interference, caused, among other things, by the random nature of multiple access, the asymptotic characteristics of networks and the

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9

Mogylevych, Dmytro, and Olha Papushoi. "SOFT FREQUENCY REUSE FOR MILIGATION OF INTERCELLULER INTEREFERENCE." Information and Telecommunication Sciences, no. 2 (December 19, 2022): 46–52. http://dx.doi.org/10.20535/2411-2976.22022.46-52.

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Background. The appearance of femtocells in LTE networks has provided indoor coverage and overcome large data flows for operators. However, strong interference occurs in neighbouring femtocell users due to the limited available spectrum in cellular networks that transmit data in the same radio range. In densely deployed environments, interference issues in single-channel femtocells cause significant performance degradation. In this study, we mitigate inter-cell interference in femtocell networks by combining femtocells as a result of common interference and soft frequency reuse in downlink and

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10

Ávalos-Arce, Mariana, Heráclito Pérez-Díaz, Carolina Del-Valle-Soto, and Ramon A. Briseño. "Uncovering the Limitations and Insights of Packet Status Prediction Models in IEEE 802.15.4-Based Wireless Networks and Insights from Data Science." Informatics 11, no. 1 (2024): 7. http://dx.doi.org/10.3390/informatics11010007.

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Wireless networks play a pivotal role in various domains, including industrial automation, autonomous vehicles, robotics, and mobile sensor networks. This research investigates the critical issue of packet loss in modern wireless networks and aims to identify the conditions within a network’s environment that lead to such losses. We propose a packet status prediction model for data packets that travel through a wireless network based on the IEEE 802.15.4 standard and are exposed to five different types of interference in a controlled experimentation environment. The proposed model focuses on t

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11

Chincoli, Michele, Aly Aamer Syed, Georgios Exarchakos, and Antonio Liotta. "Power Control in Wireless Sensor Networks with Variable Interference." Mobile Information Systems 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3592581.

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Adaptive transmission power control schemes have been introduced in wireless sensor networks to adjust energy consumption under different network conditions. This is a crucial goal, given the constraints under which sensor communications operate. Power reduction may however have counterproductive effects to network performance. Yet, indiscriminate power boosting may detrimentally affect interference. We are interested in understanding the conditions under which coordinated power reduction may lead to better spectrum efficiency and interference mitigation and, thus, have beneficial effects on n

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12

Qin, Dong, Wufei Wu, and Tianqing Zhou. "Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks." Wireless Communications and Mobile Computing 2023 (February 22, 2023): 1–11. http://dx.doi.org/10.1155/2023/8828761.

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This paper considers the problem of optimizing the data rate of the cooperative cognitive system subject to the dual constraints of the interference threshold of primary users and power budget of secondary users. In particular, under a single constraint, the rate can reach its peak easily. But under the double restrictions, the peak rate problem becomes complicated and changeable. According to different interference conditions and power supplies, four scenarios are formulated: total interference threshold and total power budget, total interference threshold and separate power budget, separate

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13

Ali, Ehsan, Adnan Fazil, Jihyoung Ryu, Muhammad Ashraf, and Muhammad Zakwan. "Adaptive MAC Scheme for Interference Management in Ad Hoc IoT Networks." Applied Sciences 14, no. 19 (2024): 8628. http://dx.doi.org/10.3390/app14198628.

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The field of wireless communication has undergone revolutionary changes driven by technological advancements in recent years. Central to this evolution is wireless ad hoc networks, which are characterized by their decentralized nature and have introduced numerous possibilities and challenges for researchers. Moreover, most of the existing Internet of Things (IoT) networks are based on ad hoc networks. This study focuses on the exploration of interference management and Medium Access Control (MAC) schemes. Through statistical derivations and systematic simulations, we evaluate the efficacy of g

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14

Shneer, Seva, and Alexander Stolyar. "Stability conditions for a decentralised medium access algorithm: single- and multi-hop networks." Queueing Systems 94, no. 1-2 (2019): 109–28. http://dx.doi.org/10.1007/s11134-019-09635-w.

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Abstract We consider a decentralised multi-access algorithm, motivated primarily by the control of transmissions in a wireless network. For a finite single-hop network with arbitrary interference constraints, we prove stochastic stability under the natural conditions. For infinite and finite single-hop networks, we obtain broad rate-stability conditions. We also consider symmetric finite multi-hop networks and show that the natural condition is sufficient for stochastic stability.

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15

Al-Gumaei, Yousef Ali, Nauman Aslam, Ahamed Mohammed Al-Samman, Tawfik Al-Hadhrami, Kamarul Noordin, and Yousef Fazea. "Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions." Electronics 8, no. 10 (2019): 1113. http://dx.doi.org/10.3390/electronics8101113.

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In this paper, the problem of power control using a game theoretic approach based on sigmoid cost function is studied for device-to-device (D2D) communications underlying cellular networks. A non-cooperative game, where each D2D transmitter and a cellular user select their own transmit power level independently, is analyzed to minimize their user-serving cost function and achieve a target signal to interference-plus-noise-ratio (SINR) requirement. It is proved analytically that the Nash equilibrium point of the game exists and it is unique under certain constraints. Numerical results verify th

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16

Zhou, Wei, Fei Xie, Yi Fan Zhu, Qun Li, and Wang Xun Zhang. "A Method of Experimental Design for GNSS-Dot Net under Jamming Attack." Advanced Materials Research 1083 (January 2015): 148–54. http://dx.doi.org/10.4028/www.scientific.net/amr.1083.148.

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The feature of deception jamming for GNSS-dot networks is researched and analyzed, and it is difficult to accurately locate and correct the interference position by using the interference detection methods of the traditional WSN, a new attack detection algorithm that based on an improved angle of arrival (AOA) positioning mechanism to determine the point of disruption and interference correction is proposed. Nextly the algorithm of a single interference source localization based on the hyperbolic method by using anti-jamming principle of the GNSS is researched and given, and can locate both si

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17

Warrier, Anirudh, Saba Al-Rubaye, Gokhan Inalhan, and Antonios Tsourdos. "AI-Enabled Interference Mitigation for Autonomous Aerial Vehicles in Urban 5G Networks †." Aerospace 10, no. 10 (2023): 884. http://dx.doi.org/10.3390/aerospace10100884.

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Integrating autonomous unmanned aerial vehicles (UAVs) with fifth-generation (5G) networks presents a significant challenge due to network interference. UAVs’ high altitude and propagation conditions increase vulnerability to interference from neighbouring 5G base stations (gNBs) in the downlink direction. This paper proposes a novel deep reinforcement learning algorithm, powered by AI, to address interference through power control. By formulating and solving a signal-to-interference-and-noise ratio (SINR) optimization problem using the deep Q-learning (DQL) algorithm, interference is effectiv

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18

Chen, Lingling, Zhiyi Fang, and Xiaohui Zhao. "Probabilistical Robust Power Control for Cognitive Radio Networks under Interference Uncertainty Conditions." International Journal of Online Engineering (iJOE) 14, no. 07 (2018): 90. http://dx.doi.org/10.3991/ijoe.v14i07.8967.

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<p class="0abstract"><a name="OLE_LINK11"></a><a name="OLE_LINK12"></a><span lang="EN-US">The focus of this paper is to find a robust power control strategy with uncertain noise plus interference (NI) in </span><span lang="EN-US">cognitive radio networks (</span><span lang="EN-US">CRNs</span><span lang="EN-US">)in an </span><span lang="EN-US">under orthogonal frequency-division multiplexing (OFDM) framework. The optimization problem is formulated to maximize </span><span lang="EN-US">the </span&g

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19

Khandetskyi, V. S., V. V. Gerasimov, and N. V. Karpenko. "PERFORMANCE ANALYSIS OF WIRELESS COMPUTER NETWORKS IN CONDITIONS OF HIGH INTERFERENCE INTENSITY." Radio Electronics, Computer Science, Control, no. 3 (October 13, 2023): 148. http://dx.doi.org/10.15588/1607-3274-2023-3-15.

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Context. The decrease in the probability of successful frame transmission in the infrastructure domain of IEEE 802.11 DCF wireless network is caused both by the influence of the collision intensity and by the impact of external interference in the radio path. Using the Markov chain approach as a baseline, we explicitly expressed the dependence of the network throughput on the number of operating stations, bit error rate (BER), and the frame fragmentation factor. Objective. The purpose of this article is to study the influence of interference intensity on the throughput of a wireless netw

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20

Iqbal, Muhammad Usman, Ejaz Ahmad Ansari, Saleem Akhtar, Muhammad Nadeem Rafiq, Muhammad Farooq-i-Azam, and Beenish Hassan. "Hybrid Learning based Radio Resource Management in 5G Heterogeneous Networks." Pakistan Journal of Engineering and Technology 6, no. 1 (2023): 92–97. http://dx.doi.org/10.51846/vol6iss1pp92-97.

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Ultradensification using different types of small cells (SCs) is one of the key enabling solutions to meet the multiple stringent requirements of 5G cellular networks. However, radio resource management (RRM) in ultra-dense heterogeneous networks (HetNets) is not easy due to interferences in multi-tiered architecture and dynamic network conditions. Interferences in 5G HetNets can be efficiently managed only through the techniques which are adaptive and self-organizing to handle dynamic conditions in 5G HetNets. In this article, a machine learning (ML) based self-adaptive resource allocation sc

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21

Privalov, Andrey, Elena Kazakevich, and Ivan Gluhov. "A Model of the Process of Information Exchange Between Subscribers of the PRC Network with a Common Communication Channel." Proceedings of Petersburg Transport University 20, no. 4 (2023): 921–30. http://dx.doi.org/10.20295/1815-588x-2023-4-921-930.

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Purose: To analyse the quality of operation of the PRC network, enabling the evaluation of time of guaranteed delivery of data packets to the subscribers of the network in bad radio-electronic conditions. Methods: To address the problem, methods from the general theory of systems, probability theory, queuing theory, as well as the method of topological transformation of stochastic networks (TTSN) have been used. Results: The developed model allows us to estimate the quality of functioning of the packet radio communications network, which allows us to determine the main directions to improve th

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22

Osokin, Yu. "Aperture-dynamic properties of the sensor information in mobile object management systems." E3S Web of Conferences 402 (2023): 06003. http://dx.doi.org/10.1051/e3sconf/202340206003.

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This article discusses the aperture-dynamic properties of sensor devices used in control systems for unmanned devices, in particular, automatic manipulators operating as part of robotic complexes (RTCS). The effects of interference affecting the software control systems of automatic manipulators using high-speed algorithms with interference-resistant coding under operating conditions in production are considered. It is known that in production conditions, there are sources of network interference, interference of an informational nature through communication channels, wired channels, radio eng

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23

Michler, O. "Outdoor radiolinks for 2.4 GHz-frequencies: measurement results and experiences within the radio communication network “Intermobil Region Dresden"." Advances in Radio Science 1 (May 5, 2003): 301–7. http://dx.doi.org/10.5194/ars-1-301-2003.

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Abstract. The radio communication network “Intermobil Region Dresden" was developed and built up for data transmission of traffic videos and other traffic data. It uses Pointto- Point (PtP) and Point-to-Multipoint (PtM) bridges, forming the backbone structure. The traffic camera radio clients link up with Accesspoints, installed at the nodal points of the backbone. This paper analyses the physical and technical conditions, building up such radio communication networks. The radio channel properties (e.g. total path loss, multipath propagation) and the technical parameters (e.g. transmission pow

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24

Zhang, Yongqiang, Haijie Pang, Jinlong Ma, Guilei Ma, Xiaoming Zhang, and Menghua Man. "Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage." Brain Sciences 15, no. 3 (2025): 217. https://doi.org/10.3390/brainsci15030217.

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Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing power. In this context, spiking neural networks show the ability to resist Gaussian noise, spike interference, and AC electric field interference by adjusting synaptic plasticity. The anti-interference ability to spike neural networks has become an important direction of electromagnetic protection bionics research. Methods: Therefore, this research

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25

Khmelnitsky, Yu, O. Kablukov, L. Riaba, L. Solodeeva, and L. Solodeeva. "METHODS AND MEANS OF ENSURING THE NOISE IMMUNITY OF TRANSMISSION IN TELECOMMUNICATION NETWORKS." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 64 (2019): 133–43. http://dx.doi.org/10.17721/2519-481x/2019/64-13.

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In the article the analysis of methods and means of ensuring the noise immunity transmission in telecommunication networks that use technologies in real time to ensure quality, valid and reliable data transmission under conditions of interference. For telecommunication networks the problem of optimal quality reception of information is to use the properties of the useful signal, interference, and transmission channel to increase the probability of correct reception. To increase the probability of correct reception needs to be pre-processed received signal that increases the signal interference

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26

Staniec, Kamil, and Michał Kowal. "LoRa Performance under Variable Interference and Heavy-Multipath Conditions." Wireless Communications and Mobile Computing 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/6931083.

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LoRa (or LoRaWAN) is by far the best known representative of narrowband communication systems designed for the Internet of Things. As a system dedicated specifically for long-range operations, it possesses a considerable processing gain for the energetic link budget improvement and a remarkable immunity to multipath and interference. The paper describes outcomes of measurement campaigns during which the LoRa performance was tested against these two factors, that is, a heavy-multipath propagation and a controlled, variable interference generated, respectively, in a reverberation chamber and an

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Kwon, Dohyun, Sang-Wook Kim, Joongheon Kim, and Aziz Mohaisen. "Interference-Aware Adaptive Beam Alignment for Hyper-Dense IEEE 802.11ax Internet-of-Things Networks." Sensors 18, no. 10 (2018): 3364. http://dx.doi.org/10.3390/s18103364.

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The increasing use of Internet of Things (IoT) devices in specific areas results in an interference among them and the quality of communications can be severely degraded. To deal with this interference issue, the IEEE 802.11ax standard has been established in hyper-dense wireless networking systems. The 802.11ax adopts a new candidate technology that is called multiple network allocation vector in order to mitigate the interference problem. In this paper, we point out a potential problem in multiple network allocation vector which can cause delays to communication among IoT devices in hyper-de

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Mogylevych, Dmytro, and Liudmyla Pogrebniak. "Analytical model OFDM-MIMO signal in a radio channel with frequency-time selective fading." Collection "Information Technology and Security" 11, no. 1 (2023): 39–46. http://dx.doi.org/10.20535/2411-1031.2023.11.1.283538.

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One of the main problems in modern wireless electronic communication networks is the transmission and reception of signals in multipath propagation. Due to the imperfect impulse response of the communication channel, frequency-selective fading of the transmitted signal occurs. This can cause waveform distortion and inter-symbol interference, which can seriously degrade the performance of the communication system. Thus, increasing the noise immunity of wireless electronic communication networks in real-world conditions is one of the most important tasks of modern communication technologies. Ort

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29

Zhou, Youmei, Yajuan Liu, Jianping Zhou, and Zhen Wang. "Quantized passive filtering for switched delayed neural networks." Nonlinear Analysis: Modelling and Control 26, no. 1 (2021): 93–112. http://dx.doi.org/10.15388/namc.2021.26.20562.

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The issue of quantized passive filtering for switched delayed neural networks with noise interference is studied in this paper. Both arbitrary and semi-Markov switching rules are taken into account. By choosing Lyapunov functionals and applying several inequality techniques, sufficient conditions are proposed to ensure the filter error system to be not only exponentially stable, but also exponentially passive from the noise interference to the output error. The gain matrix for the proposed quantized passive filter is able to be determined through the feasible solution of linear matrix inequali

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30

M J, Sridevi, Pradosh Kumar Sharma, Dhiliphan Kumar M, Loganathan D, and Saleem Ahmed. "OPTIMIZING EFFICIENCY AND PERFORMANCE IN 5G NETWORKS THROUGH A DYNAMIC RESOURCE ALLOCATION ALGORITHMIC FRAMEWORK." ICTACT Journal on Communication Technology 15, no. 1 (2024): 3112–18. http://dx.doi.org/10.21917/ijct.2024.0463.

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With the exponential growth of data demand and the advent of 5G networks, the need for efficient resource allocation algorithms has become paramount. This study presents a dynamic resource allocation algorithmic framework aimed at optimizing efficiency and performance in 5G networks. The framework focuses on frequency reuse at the edges while employing fractional pilots for enhanced spectrum utilization. 5G networks promise unprecedented speeds and low latency, enabling a wide array of applications from IoT to augmented reality. However, the efficient allocation of resources remains a challeng

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31

Ahmad, Ashraf Adam, Usman Bem Abubakar, Fatai Olatunde Adunola, Amina Jibril, and Kulu Ahmad Amalo. "Development of Adaptive Resource Allocation and Interference Mitigation for Spectrum Sharing in D2D-Enabled 5G Heterogeneous Networks: A Case Study of Urban Microcell Environments." ABUAD Journal of Engineering Research and Development (AJERD) 8, no. 2 (2025): 52–65. https://doi.org/10.53982/ajerd.2025.0802.06-j.

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Device-to-device (D2D) communication in heterogeneous networks (HetNets) poses significant challenges in resource allocation and interference management, especially within 5G networks where spectrum sharing between cellular users (CUEs) and D2D user equipment (DUEs) is critical. This study developed an adaptive resource allocation framework using Long Short-Term Reinforcement Learning (LSRL), which integrated Long Short-Term Memory (LSTM) networks with Deep Reinforcement Learning (DRL) technique. The proposed approach addressed the dynamic nature of interference in urban microcell environments

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El-haryqy, Noureddine, Zhour Madini, and Younes Zouine. "Radio Frequency Interference Detection and Automatic Modulation Recognition Based on Mask RCNN." International journal of Computer Networks & Communications 16, no. 5 (2024): 23–42. http://dx.doi.org/10.5121/ijcnc.2024.16502.

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The increasing complexity of wireless communication conditions presents noteworthy obstacles to the adaptability and flexibility of cognitive radio systems. The latter can alleviate the problem of spectrum shortages through proper spectrum management. However, cognitive radio has difficulty distinguishing between signals of interest and interference, which can be a general enemy since it is undesirable because it influences the signal's quality. Efficient detection and characterization of interference in wireless communication networks is critical for ensuring strong security. However, in this

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Komar, Oleksii, and Kostiantyn Perets. "THE METHOD FOR OPTIMIZING SIGNAL PARAMETERS USING LAGRANGE MULTI-PLIERS." Science-based technologies 65, no. 1 (2025): 69–76. https://doi.org/10.18372/2310-5461.65.19927.

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This article presents a method for optimizing signal parameters using the Lagrange multiplier method to ensure high accuracy of signal reconstruction and interference resilience in cognitive telecommunication networks. The study addresses key challenges related to adapting to dynamic spectral conditions, high levels of interference, and nonlinear signal distortions. Based on an analysis of recent research, the necessity of implementing the proposed method is substantiated. This method considers the orthogonality conditions of Volterra kernel parameters and ensures algorithm stability in dynami

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VAHSCHYSHCHAK, S., A. BOICHUK, T. STYSLO, S. MELNYCHUK, and I. MANULIAK. "BEAM ANTENNA FOR CONTROLLING WIRELESS 5 GHZ DATA TRANSMISSION NETWORKS." Herald of Khmelnytskyi National University 301, no. 5 (2021): 119–26. http://dx.doi.org/10.31891/2307-5732-2021-301-5-119-126.

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Recently, there has been an intensive development of wireless data networks in the 2.4 and 5 GHz ranges, or Wi-Fi. The popularity of these networks is mainly due to the transmission of multimedia information. Existing standards and data protocols for these networks ensure their smooth and high-performance operation in «ideal conditions». In fact, in cities and densely populated centers with a significant amount of such equipment as well as lack of backup channels, there is radio frequency interference. These interferences are caused by the impact of one piece of equipment on another when it is

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Peng, Shixin, Xiaohui Chen, Wei Lu, Chao Deng, and Jingying Chen. "Spatial Interference Alignment with Limited Precoding Matrix Feedback in a Wireless Multi-User Interference Channel for Smart Grids." Energies 15, no. 5 (2022): 1820. http://dx.doi.org/10.3390/en15051820.

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Cellular communication provides an efficient, flexible, long-lived, and reliable communication technology for smart grids to improve the automated analysis, demand response, adoptive control, and coordination between the generator and consumers. With the expansion of wireless networks and the increase of access devices, interference has become a major problem that limits the performance of cellular wireless communication systems for smart grids. Spatial interference alignment (IA) is an effective method to eliminate interference and improve the capacity of wireless communication networks. This

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AISHAH, Siti. "Optimizing System Performance with Adaptive Algorithms for Signal Processing in Wireless Communication Networks." Journal of Computer, Signal, and System Research 1, no. 1 (2024): 9–19. https://doi.org/10.70088/9bey7t47.

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In modern wireless communication networks, the need for high-speed, reliable, and efficient data transmission is paramount. Signal processing algorithms play a critical role in optimizing network performance, especially under dynamic conditions such as varying network loads and environmental interference. This paper presents an in-depth study of adaptive signal processing algorithms designed to improve the performance of wireless communication systems. We examine various techniques, including adaptive filtering, channel estimation, and interference cancellation, and assess their effectiveness

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Kachroo, Amit, Adithya Popuri, Mostafa Ibrahim, Ali Imran, and Sabit Ekin. "Interference Spreading through Random Subcarrier Allocation Technique and Its Error Rate Performance in Cognitive Radio Networks." Sensors 20, no. 19 (2020): 5700. http://dx.doi.org/10.3390/s20195700.

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In this letter, we investigate the idea of interference spreading and its effect on bit error rate (BER) performance in a cognitive radio network (CRN). The interference spreading phenomenon is caused because of the random allocation of subcarriers in an orthogonal frequency division multiplexing (OFDM)-based CRN without any spectrum-sensing mechanism. The CRN assumed in this work is of underlay configuration, where the frequency bands are accessed concurrently by both primary users (PUs) and secondary users (SUs). With random allocation, subcarrier collisions occur among the carriers of prima

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Zhao, Hui, Guobin Zhao, Xichun Wang, Zhonghui Zhang, and Xianchao Xun. "Intelligent anti-jamming communication technology with electromagnetic spectrum feature cognition." PLOS One 20, no. 4 (2025): e0319953. https://doi.org/10.1371/journal.pone.0319953.

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Against the backdrop of the rapid development of wireless communication technology, the complex signal interference issues in the electromagnetic spectrum environment have become a key factor affecting the quality and reliability of signal transmission. Existing solutions, such as traditional interference suppression techniques that rely on static spectrum allocation and fixed interference patterns, are no longer able to adapt to the rapidly changing electromagnetic environment and face computational complexity challenges when processing large amounts of real-time data. This study proposes an

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Furtado, Antonio, Rodolfo Oliveira, Luis Bernardo, and Rui Dinis. "Performance Analysis of Interference-Aware Multi-Packet Reception Networks." Electronics 9, no. 4 (2020): 665. http://dx.doi.org/10.3390/electronics9040665.

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Decentralized wireless networks are gaining increasing popularity as they do not need a fixed infrastructure. Simultaneously, multiple research initiatives have led to different findings at the PHY layer of the wireless communication systems, which include Multi-Packet Reception (MPR) techniques that enable a receiver to decode multiple packets that are transmitted simultaneously. However, the distributed nature of decentralized wireless networks demands different network control policies that should take into account the MPR capabilities to increase the network performance. This work studies

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Parshutkin, Andrey, Dmitriy Buchinskiy, and Yury Kopalov. "Model of Satellite Communication Channel Functioning under Conditions of Episodic Synchronization with Pulse Interference Flows." Informatics and Automation 23, no. 1 (2024): 194–225. http://dx.doi.org/10.15622/ia.23.1.7.

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The article investigates the effect of pulse interference on information reception in conditions of episodic synchronization of frames of the physical level of a satellite communication channel with streams of radio pulses of unintended interference. An analytical model of the influence of pulse interference on the reception of information in a satellite communication channel under conditions of episodic synchronization of physical-level frames with pulse interference streams is proposed. Using the example of the DVB family of standards, the combined effect of noise and unintended impulse inte

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Todoli-Ferrandis, David, Javier Silvestre-Blanes, and Víctor Sempere-Payá. "Robust Downlink Mechanism for Industrial Internet of Things Using LoRaWAN Networks." Electronics 10, no. 17 (2021): 2122. http://dx.doi.org/10.3390/electronics10172122.

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The adoption of LoRaWAN as a technology for wireless deployments in many applications, such as smart cities or industry 4.0, still presents challenges such as energy consumption, robustness, or reduced throughput in harsh, noisy scenarios. Class B is a MAC mode that allows better performance in downlink traffic but has difficulties regarding scalability and its response to channel interference. This article introduces, via simulation software, the possibility of testing deployments, adding interference sources that model industrial scenarios, and proposes an adaptive data rate (ADR) mechanism

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Sidorov, Igor A., Alexander G. Gudkov, Sergey V. Chizhikov, and Vitaly Yu Leushin. "Specific of microwave radiometers operation on the external distortions conditions." Radioelectronics. Nanosystems. Information Technologies. 15, no. 3 (2023): 223–34. http://dx.doi.org/10.17725/rensit.2023.15.223.

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The influence of external disturbances on the sensitivity and dynamic range of the microwave radiothermograph is considered. The results of an experimental study of the interference situation in the range up to 3 GHz are presented. The diagram of the spectral density of interference adjacent to radio astronomy windows is analyzed. The features of real observed disturbances are investigated. The classification of possible disturbances according to their characteristics is given. Algorithms for discrimination of various types of interference are considered. The sensitivity and dynamic range of t

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Gupta, Akhil, Prakhar Saini, Banala Sharath Teja, et al. "Investigating UAV-Based Applications in Indoor–Outdoor Sports Stadiums and Open-Air Gatherings for Different Interference Conditions beyond 5G Networks." Sensors 23, no. 15 (2023): 6721. http://dx.doi.org/10.3390/s23156721.

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With the onset of 5G technology, the number of users is increasing drastically. These increased numbers of users demand better service on the network. This study examines the millimeter wave bands working frequencies. Working in the millimeter wave band has the disadvantage of interference. This study aims to analyze the impact of different interference conditions on unmanned aerial vehicle use scenarios, such as open-air gatherings and indoor-outdoor sports stadiums. Performance analysis was carried out in terms of received power and path loss readings.

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Cheng, An Yu, Ju Lin Zhang, and Gang Wang. "Design of Vehicle CAN-Network Bit-Level Interference Testing System Based on FPGA." Advanced Materials Research 765-767 (September 2013): 129–33. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.129.

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In order to ensure the system behavior of vehicle CAN network and its ECU nodes meet the requirements of high fault tolerance in complex communication conditions. The CAN networks bit-level interference test method in data link layer based on FPGA was studied. Monitored bit stream and embedded interference by behavior level description through Verilog HDL based on FPGA. Simultaneously, host computer configuration interface which is based on Visual C++ was developed. Using the design of this paper interfered the CAN network evidenced the design can implement interference effectively and flexibl

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Yang, Zhikai, Xinyu Zhang, Zailei Luo, Tongsheng Shen, Mengda Cui, and Xionghui Li. "Parallel Net: Frequency-Decoupled Neural Network for DOA Estimation in Underwater Acoustic Detection." Journal of Marine Science and Engineering 13, no. 4 (2025): 724. https://doi.org/10.3390/jmse13040724.

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Under wideband interference conditions, traditional neural networks often suffer from low accuracy in single-frequency direction-of-arrival (DOA) estimation and face challenges in detecting single-frequency sound sources. To address this limitation, we propose a novel model called Parallel Net. The architecture adopts a frequency-parallel design: it first employs a recurrent neural network, the generalized feedback gated recurrent unit (GFGRU), to independently extract features from each frequency component, and then it fuses these features through an attention mechanism. This design significa

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Alnabelsi, Sharhabeel H., Haythem A. Bany Salameh, and Zaid M. Albataineh. "Dynamic resource allocation for opportunistic software-defined IoT networks: stochastic optimization framework." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3854. http://dx.doi.org/10.11591/ijece.v10i4.pp3854-3861.

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Several wireless technologies have recently emerged to enable efficient and scalable internet-of-things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidt

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Sharhabeel, H. Alnabelsi, A. Bany Salameh Haythem, and M. Albataineh Zaid. "Dynamic resource allocation for opportunistic software-defined IoT networks: stochastic optimization framework." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3854–61. https://doi.org/10.11591/ijece.v10i4.pp3854-3861.

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Several wireless technologies have recently emerged to enable efficient and scalable Internet-of-Things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidt

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Settapong Malisuwan, Cattleya Delmaire, Apichai Nimgirawath. "Mobile-Enabled Internet of Drones: An Initiative Project for Advancing Drone Connectivity in 5G and Beyond 5G." Communications on Applied Nonlinear Analysis 32, no. 9s (2025): 1986–2006. https://doi.org/10.52783/cana.v32.4409.

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This research explores the transformative potential of mobile-enabled drone communications as a foundational technology for the Internet of Drones (IoD). The study emphasizes the integration of terrestrial mobile networks, addressing the critical requirements of safe, reliable, and scalable drone operations. With the advent of advanced mobile networks—such as 5G, Beyond 5G (B5G), and pre-6G—the research highlights how ultra-reliable low-latency communication (URLLC) and massive machine-type communication (mMTC) capabilities can address challenges such as interference, asymmetric data flows, an

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Bermond, Jean-Claude, Dorian Mazauric, Vishal Misra, and Philippe Nain. "Distributed link scheduling in wireless networks." Discrete Mathematics, Algorithms and Applications 12, no. 05 (2020): 2050058. http://dx.doi.org/10.1142/s1793830920500585.

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This work investigates distributed transmission scheduling in wireless networks. Due to interference constraints, “neighboring links” cannot be simultaneously activated, otherwise transmissions will fail. Here, we consider any binary model of interference. We use the model described by Bui et al. in [L. X. Bui, S. Sanghavi and R. Srikant, Distributed link scheduling with constant overhead, IEEE/ACM Trans. Netw. 17(5) (2009) 1467–1480; S. Sanghavi, L. Bui and R. Srikant, Distributed link scheduling with constant overhead, in Proc. ACM Sigmetrics (San Diego, CA, USA, 2007), pp. 313–324.]. We ass

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Tian, Hongxian, Mary Weitnauer, and Gedeon Nyengele. "Optimized Gateway Placement for Interference Cancellation in Transmit-Only LPWA Networks." Sensors 18, no. 11 (2018): 3884. http://dx.doi.org/10.3390/s18113884.

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We study the placement of gateways in a low-power wide-area sensor network, when the gateways perform interference cancellation and when the model of the residual error of interference cancellation is proportional to the power of the packet being canceled. For the case of two sensor nodes sending packets that collide, by which we mean overlap in time, we deduce a symmetric two-crescent region wherein a gateway can decode both collided packets. For a large network of many sensors and multiple gateways, we propose two greedy algorithms to optimize the locations of the gateways. Simulation result

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