Location-aware Cooperative Anti-jamming Distributed Channel Selection Approach in UAV Communication Networks

This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, a location-aware cooperative anti-jamming scheme is designed for the purpose of maximizing the users' utilities. Users in the UAV group cooperate with each other via location information sharing. When the received interference energy is lower than mutual interference threshold, users conduct channel selection strategies independently. Otherwise, users take joint actions with a cooperative anti-jamming pattern under the impact of mutual interference. Aimed at the independent anti-jamming channel selection problem under no mutual interference, a Markov Decision Process framework is introduced, whereas for the cooperative anti-jamming channel selection case under the influence of co-channel mutual interference, a Markov game framework is employed. Furthermore, motivated by reinforcement learning with a ``Cooperation-Decision-Feedback-Adjustment" idea, we design a location-aware cooperative anti-jamming distributed channel selection algorithm (LCADCSA) to obtain the optimal anti-jamming channel strategies for the users with a distributed way. In addition, the channel switching cost and cooperation cost, which have great impact on the users' utilities, are introduced. Finally, simulation results show that the proposed algorithm converges to a stable solution with which the UAV group can avoid the malicious jamming as well as co-channel interference effectively.

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Interference-Aware Cooperative Anti-Jamming Distributed Channel Selection in UAV Communication Networks

Applied Sciences ◽

10.3390/app8101911 ◽

2018 ◽

Vol 8 (10) ◽

pp. 1911 ◽

Cited By ~ 6

Author(s):

Yifan Xu ◽

Guochun Ren ◽

Jin Chen ◽

Xiaobo Zhang ◽

Luliang Jia ◽

...

Keyword(s):

Communication Networks ◽

Stable Solution ◽

Channel Selection ◽

Decision Feedback ◽

Selection Problem ◽

Interference Signal ◽

Channel Switching ◽

Signal Energy ◽

Channel Interference ◽

The Impact

This paper investigates the cooperative anti-jamming distributed channel selection problem in UAV communication networks. Considering the existence of malicious jamming and co-channel interference, we design an interference-aware cooperative anti-jamming scheme for the purpose of maximizing users’ utilities. Moreover, the channel switching cost and cooperation cost are introduced, which have a great impact on users’ utilities. Users in the UAV group sense the co-channel interference signal energy to judge whether they are influenced by co-channel interference. When the received co-channel interference signal energy is lower than the co-channel interference threshold, users conduct channel selection strategies independently. Otherwise, users cooperate with each other and take joint actions with a cooperative anti-jamming pattern under the impact of co-channel interference. Aiming at the independent anti-jamming channel selection problem under no co-channel interference, a Markov decision process framework is introduced, whereas for the cooperative anti-jamming channel selection case under the influence of co-channel mutual interference, a Markov game framework is employed. Furthermore, motivated by Q-learning with a “cooperation-decision-feedback-adjustment” idea, we design an interference-aware cooperative anti-jamming distributed channel selection algorithm (ICADCSA) to obtain the optimal anti-jamming channel strategies for users in a distributed way. In addition, a discussion on the quick decision for UAVs is conducted. Finally, simulation results show that the proposed algorithm converges to a stable solution with which the UAV group can avoid malicious jamming, as well as co-channel interference effectively and can realize a quick decision in high mobility UAV communication networks.

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Performance analysis of power beacon-assisted D2D communication networks in the presence of eavesdropper and co-channel interference

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v24.i2.pp888-895 ◽

2021 ◽

Vol 24 (2) ◽

pp. 888

Author(s):

Bui Vu Minh ◽

Van-Duc Phan

Keyword(s):

Monte Carlo Simulation ◽

Performance Analysis ◽

Communication Networks ◽

System Performance ◽

D2d Communication ◽

System Parameters ◽

Intercept Probability ◽

Channel Interference ◽

Analytical Section ◽

The Impact

<p>Performance analysis of power beacon-assisted D2D communication networks in the presence of eavesdropper and co-channel interference is presented is investigated. The outage probability and the intercept probability of the proposed system are analyzed and derived. The impact of the main system parameters on the system performance is investigated. The Monte Carlo simulation is used for verifying the correctness of the analytical section.</p>

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The Impact of Show Rooms on Channel Selection Intention: The Moderating Role of Consumer’s Shopping Experience and Shopping Situation

SSRN Electronic Journal ◽

10.2139/ssrn.3493519 ◽

2019 ◽

Author(s):

Ola Tarek ◽

Abeer A. Mahrous ◽

Wael Kortam

Keyword(s):

Channel Selection ◽

Shopping Experience ◽

The Impact ◽

Moderating Role

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Measuring Key Quality Indicators in Cloud Gaming: Framework and Assessment Over Wireless Networks

Sensors ◽

10.3390/s21041387 ◽

2021 ◽

Vol 21 (4) ◽

pp. 1387

Author(s):

Oswaldo Sebastian Peñaherrera-Pulla ◽

Carlos Baena ◽

Sergio Fortes ◽

Eduardo Baena ◽

Raquel Barco

Keyword(s):

Communication Networks ◽

Mobile Networks ◽

Video Game ◽

Know How ◽

Fifth Generation ◽

New Generation ◽

Graphics Rendering ◽

The Impact

Cloud Gaming is a cutting-edge paradigm in the video game provision where the graphics rendering and logic are computed in the cloud. This allows a user’s thin client systems with much more limited capabilities to offer a comparable experience with traditional local and online gaming but using reduced hardware requirements. In contrast, this approach stresses the communication networks between the client and the cloud. In this context, it is necessary to know how to configure the network in order to provide service with the best quality. To that end, the present work defines a novel framework for Cloud Gaming performance evaluation. This system is implemented in a real testbed and evaluates the Cloud Gaming approach for different transport networks (Ethernet, WiFi, and LTE (Long Term Evolution)) and scenarios, automating the acquisition of the gaming metrics. From this, the impact on the overall gaming experience is analyzed identifying the main parameters involved in its performance. Hence, the future lines for Cloud Gaming QoE-based (Quality of Experience) optimization are established, this way being of configuration, a trendy paradigm in the new-generation networks, such as 4G and 5G (Fourth and Fifth Generation of Mobile Networks).

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Performance Analysis of Hybrid Radio Frequency and Free Space Optical Communication Networks with Cooperative Spectrum Sharing

Photonics ◽

10.3390/photonics8040108 ◽

2021 ◽

Vol 8 (4) ◽

pp. 108

Author(s):

Dong Qin ◽

Yuhao Wang ◽

Tianqing Zhou

Keyword(s):

Radio Frequency ◽

Communication Networks ◽

Free Space ◽

Spectrum Sharing ◽

Cumulative Distribution ◽

Free Space Optical ◽

Secondary Users ◽

Primary Users ◽

Cooperative Spectrum Sharing ◽

The Impact

This paper investigates the impact of cooperative spectrum sharing policy on the performance of hybrid radio frequency and free space optical wireless communication networks, where primary users and secondary users develop a band of the same spectrum resource. The radio frequency links obey Nakagami-m distribution with arbitrary fading parameter m, while the free space optical link follows gamma-gamma distributed atmospheric turbulence with nonzero pointing error. Because the secondary users access the spectrum band without payment, their behavior needs to be restricted. Specifically, the power of the secondary users is dominated by the tolerable threshold of the primary users. Considering both heterodyne and intensity modulation/direct detection strategies in optical receiver, the performance of optical relaying networks is completely different from that of traditional networks. With the help of bivariable Fox’s H function, new expressions for cumulative distribution function of equivalent signal to noise ratio at destination, probability density function, outage probability, ergodic capacity and symbol error probability are built in closed forms.

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Hygienic assessment of the impact of 5G/IMT-2020 communication networks on public health (literature review)

Hygiene and Sanitation ◽

10.47470/0016-9900-2021-100-9-929-932 ◽

2021 ◽

Vol 100 (9) ◽

pp. 929-932

Author(s):

Anna M. Egorova ◽

Lydiya A. Lutsenko ◽

Anna V. Sukhova ◽

Vyacheslav V. Kolyuka ◽

Rustam V. Turdyev

Keyword(s):

Public Health ◽

Radio Frequency ◽

Electromagnetic Radiation ◽

Communication Networks ◽

Biological Effects ◽

Three Dimensional ◽

Cochrane Library ◽

Pubmed Search ◽

The Cochrane Library ◽

The Impact

The program “Digital Economy of the Russian Federation” approved the Concept for the creation and development of 5G / IMT-2020 networks. The development of 5G communications will significantly impact the implementation of many innovative projects and initiatives: the Smart City project, Unmanned Transport, etc. Along with significant technical advantages compared to previous generations of communication (2G, 3G, 4G), 5G technology has completely different emitting characteristics: more emitting elements, signal modulation, three-dimensional beam, the ability to control the beam, SHF (ultra-high) and EHF (extremely high) radio frequency ranges and centimetre and millimetre wavelengths of electromagnetic radiation. Therefore, it is becoming an especially urgent problem to ensure exposure to the human body of non-ionizing electromagnetic fields of the radio frequency range (30 kHz-300 GHz). The authors searched the literature on the biological effects of 5G cellular communications and electromagnetic radiation in the centimetre and millimetre ranges using the appropriate keywords in PubMed search engines, Scopus, Web of Science, Medline, The Cochrane Library, EMBASE, Global Health, CyberLeninka, RSCI and others. There is currently tentative and conflicting evidence on the impact of 5G. The rapidly growing density of wireless devices and antennas (considering future 5G networks) increases the public health risk from exposure to RF EMFs as the penetration depth for 5G EHF radiation is only a few millimetres. At these wavelengths, resonance phenomena are possible at the cellular and molecular levels, particularly concerning stimulating SHF and EHF oxidative processes and damaging DNA. The influence of the millimetre range of RF-EMF is poorly understood; oncological and non-oncological (impact on the reproductive, immune systems, etc.) effects are possible. Using numerical simulation methods of EMF radiation resonances on insects, Thielens A et al., 2018, found a significant overall increase in the absorbed RF power at a frequency of 6 GHz and higher than a frequency below 6 GHz.

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Analysis of the impact of map-matching on the accuracy of propagation models

Advances in Radio Science ◽

10.5194/ars-5-367-2007 ◽

2007 ◽

Vol 5 ◽

pp. 367-372 ◽

Cited By ~ 1

Author(s):

M. Neuland ◽

T. Kürner

Keyword(s):

Communication Networks ◽

Measurement Data ◽

Path Loss ◽

Map Matching ◽

Sampling Errors ◽

Propagation Models ◽

The Road ◽

On The Road ◽

Gps Accuracy ◽

The Impact

Abstract. Propagation models are very important for the development and deployment of wireless communication networks. They are able to predict the path loss for different propagation conditions, but cannot include all propagation phenomena in detail. This fact leads to variations between predicted and measured field strengths. These variations can be reduced by calibrating some parameters of the propagation models with the help of exact measurement data. However, two problems occur when applying measurement data. On the one hand, the maps used for the prediction have only a limited resolution. On the other hand, the GPS data are erroneous due to the limited GPS accuracy and due to sampling errors. These errors can lead to variations up to 200 m between the measured positions and the possible positions on the road network. Therefore, a map-matching algorithm has to be applied which projects the wrong GPS positions automatically onto the street vectors used for the predictions. Thus, a good basis of data for calibration can be created.

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Radiance Preprocessing for Assimilation in the Hourly Updating Rapid Refresh Mesoscale Model: A Study Using AIRS Data

Weather and Forecasting ◽

10.1175/waf-d-17-0028.1 ◽

2017 ◽

Vol 32 (5) ◽

pp. 1781-1800 ◽

Cited By ~ 5

Author(s):

Haidao Lin ◽

Stephen S. Weygandt ◽

Agnes H. N. Lim ◽

Ming Hu ◽

John M. Brown ◽

...

Keyword(s):

Bias Correction ◽

Short Range ◽

Mesoscale Model ◽

Channel Selection ◽

Atmospheric Temperature ◽

Study Data ◽

Satellite Systems ◽

Initial Application ◽

Radiance Data ◽

The Impact

Abstract This study describes the initial application of radiance bias correction and channel selection in the hourly updated Rapid Refresh model. For this initial application, data from the Atmospheric Infrared Sounder (AIRS) are used; this dataset gives atmospheric temperature and water vapor information at higher vertical resolution and accuracy than previously launched low-spectral resolution satellite systems. In this preliminary study, data from AIRS are shown to add skill to short-range weather forecasts over a relatively data-rich area. Two 1-month retrospective runs were conducted to evaluate the impact of assimilating clear-sky AIRS radiance data on 1–12-h forecasts using a research version of the National Oceanic and Atmospheric Administration (NOAA) Rapid Refresh (RAP) regional mesoscale model already assimilating conventional and other radiance [AMSU-A, Microwave Humidity Sounder (MHS), HIRS-4] data. Prior to performing the assimilation, a channel selection and bias-correction spinup procedure was conducted that was appropriate for the RAP configuration. RAP forecasts initialized from analyses with and without AIRS data were verified against radiosonde, surface atmosphere, precipitation, and satellite radiance observations. Results show that the impact from AIRS radiance data on short-range forecast skill in the RAP system is small but positive and statistically significant at the 95% confidence level. The RAP-specific channel selection and bias correction procedures described in this study were the basis for similar applications to other radiance datasets now assimilated in version 3 of RAP implemented at NOAA’s National Centers for Environmental Prediction (NCEP) in August 2016.

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Performance Analysis of On-Chip Communication Structures under Device Variability

International Journal of Embedded and Real-Time Communication Systems ◽

10.4018/jertcs.2010100103 ◽

2010 ◽

Vol 1 (4) ◽

pp. 40-62

Author(s):

Faiz-ul Hassan ◽

Wim Vanderbauwhede ◽

Fernando Rodríguez-Salazar

Keyword(s):

Communication Networks ◽

Data Storage ◽

Failure Probability ◽

Analytical Models ◽

High Yield ◽

Communication Link ◽

Link Failure ◽

Communication Structures ◽

On Chip ◽

The Impact

On-chip communication is becoming an important bottleneck in the design and operation of high performance systems where it has to face additional challenges due to device variability. Communication structures such as tapered buffer drivers, interconnects, repeaters, and data storage elements are vulnerable to variability, which can limit the performance of the on-chip communication networks. In this regard, it becomes important to have a complete understanding of the impact that variability will have on the performance of these circuit elements in order to design high yield and reliable systems. In this paper, the authors have characterized the performance of the communication structures under the impact of random dopant fluctuation (RDF) for the future technology generations of 25, 18, and 13 nm. For accurate characterization of their performance, a Monte Carlo simulation method has been used along with predictive device models for the given technologies. Analytical models have been developed for the link failure probability of a repeater inserted interconnect which uses characterization data of all communication structures to give an accurate prediction of the link failure probability. The model has also been extended to calculate the link failure probability of a wider communication link.

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