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Journal articles on the topic 'Signal-to-interference-plus-noise-ratio'

Author: Grafiati

Published: 6 September 2023

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1

Jones, Aaron M., Brian Rigling, and Muralidhar Rangaswamy. "Signal-to-interference-plus- noise-ratio analysis for constrained radar waveforms." IEEE Transactions on Aerospace and Electronic Systems 52, no. 5 (October 2016): 2230–41. http://dx.doi.org/10.1109/taes.2016.150511.

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2

Xia, W. "Cross-layer optimization technology for wireless network multimedia video." Computer Optics 44, no. 4 (August 2020): 582–88. http://dx.doi.org/10.18287/2412-6179-co-620.

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With the development of communication technology, wireless Internet has become more and more popular. The traditional network layered protocols cannot meet the increasingly rich network services, especially video. This paper briefly introduced the cross-layer transmission of video in wireless network and the cross-layer optimization algorithm used for improving video transmission quality and improved the traditional cross-layer algorithm. Then, the two cross-layer algorithms were simulated and analyzed on MATLAB software. The results showed that the packet delivery rate, peak signal to noise ratio and downlink throughput of the improved cross-layer algorithm were significantly higher than those of the traditional cross-layer algorithm under the same signal to interference plus noise ratio of receiving users in wireless network; meanwhile, with the increase of signal to interference plus noise ratio of the receiving user, the packet delivery rate and peak signal to noise ratio of the two algorithms increased, and tended to be stable after some signal to interference plus noise ratio, while the throughput of the two algorithms increased linearly. In the established real wireless network, the package delivery rate, peak signal to noise ratio and throughput of video after application of cross-layer algorithm were significantly improved, and the wireless network applying the improved cross-layer algorithm improved more. In summary, compared with the traditional cross-layer algorithm, the improved cross-layer algorithm can better improve the transmission quality of video in wireless network.

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3

Kim, Hyeonsu, Jee Woong Choi, and Ho Seuk Bae. "Underwater acoustic communication performance by signal to noise plus interference ratio in BLAC18." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 2764. http://dx.doi.org/10.1121/1.5136570.

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4

Hamdi, Khairi. "On the statistics of signal-to-interference plus noise ratio in wireless communications." IEEE Transactions on Communications 57, no. 11 (November 2009): 3199–204. http://dx.doi.org/10.1109/tcomm.2009.11.060425.

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5

Patra, Radhashyam, Arunanshu Mahapatro, and Kwonhue Choi. "Effective signal to intrinsic interference plus noise ratio analysis of affine precoded FBMC system." Electronics Letters 58, no. 9 (March 8, 2022): 375–78. http://dx.doi.org/10.1049/ell2.12461.

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6

Chen, Chen, Lin Bai, Ye Jin, Yingbo Li, and Jinho Choi. "Multiuser beamforming in multicell downlinks for maximising worst signal-to-interference-plus-noise ratio." IET Communications 7, no. 15 (October 15, 2013): 1596–604. http://dx.doi.org/10.1049/iet-com.2013.0100.

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7

Bournaka, Georgia, Yogachandran Rahulamathavan, Kanapathippillai Cumanan, Sangarapillai Lambotharan, and Fotis Lazarakis. "Base station beamforming technique using multiple signal‐to‐interference plus noise ratio balancing criteria." IET Signal Processing 9, no. 3 (May 2015): 248–59. http://dx.doi.org/10.1049/iet-spr.2013.0497.

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8

Jeske, Daniel R., and Ashwin Sampath. "Signal-to-interference-plus-noise ratio estimation for wireless communication systems: Methods and analysis." Naval Research Logistics 51, no. 5 (August 2004): 720–40. http://dx.doi.org/10.1002/nav.20022.

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9

Li, Yi-bing, Xue-ying Diao, and Qian-hui Dong. "Spatial–degree of freedom improvement of interference alignment in multi-input, multi-output interference channels." International Journal of Distributed Sensor Networks 13, no. 1 (January 2017): 155014771668635. http://dx.doi.org/10.1177/1550147716686351.

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As we know, the degree of freedom approximates the capacity of a network. To improve the achievable degree of freedom in the K-user interference network, we propose a rank minimization interference minimization algorithm. Unlike the existing methods concentrating on the promotion of degree of freedom, our rank optimization method works directly with the interference matrix rather than its projection using the receive beamformers. Moreover, we put the trace constraint of the square root of desired matrix into the rank optimization to prevent the received signal-to-interference-plus-noise ratio from reduction. The decoders are designed through a weight interference leakage minimization method. Considering that the practical obtainable signal-to-noise ratio may be limited, we improve the design of decoders in rank minimization interference minimization, and propose the rank minimization rate maximization. Rank minimization rate maximization aims to reduce the impact of interference on undesired users as much as possible while improving the desired data rate. Simulation results show that rank minimization interference minimization algorithm can provide more interference-free dimensions for desired signals than other rank minimization methods. Rank minimization rate maximization outperforms rank minimization interference minimization at low-to-moderate signal-to-noise ratios, and its performance gets closer to rank minimization interference minimization with the increase in signal-to-noise ratio. Furthermore, in an improper system, rank minimization rate maximization still performs well.

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10

Son, Ho-Kyung, and Che-Young Kim. "Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis." Scientific World Journal 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/143970.

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This paper provides an analytical derivation of the probability density function of signal-to-interference-plus-noise ratio in the scenario where mobile stations interfere with each other. This analysis considers cochannel interference and adjacent channel interference. This could also remove the need for Monte Carlo simulations when evaluating the interference effect between mobile stations. Numerical verification shows that the analytical result agrees well with a Monte Carlo simulation. Also, we applied analytical methods for evaluating the interference effect between mobile stations using adjacent frequency bands. The analytical derivation of the probability density function can be used to provide the technical criteria for sharing a frequency band.

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11

Hamza, Syed A., and Moeness G. Amin. "Sparse array design for maximizing the signal-to-interference-plus-noise-ratio by matrix completion." Digital Signal Processing 105 (October 2020): 102678. http://dx.doi.org/10.1016/j.dsp.2020.102678.

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12

Li, Wenxing, Xiaojun Mao, Zhuqun Zhai, and Yingsong Li. "High Performance Robust Adaptive Beamforming in the Presence of Array Imperfections." International Journal of Antennas and Propagation 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/3743509.

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A high performance robust beamforming scheme is proposed to combat model mismatch. Our method lies in the novel construction of interference-plus-noise (IPN) covariance matrix. The IPN covariance matrix consists of two parts. The first part is obtained by utilizing the Capon spectrum estimator integrated over a region separated from the direction of the desired signal and the second part is acquired by removing the desired signal component from the sample covariance matrix. Then a weighted summation of these two parts is utilized to reconstruct the IPN matrix. Moreover, a steering vector estimation method based on orthogonal constraint is also proposed. In this method, the presumed steering vector is corrected via orthogonal constraint under the condition where the estimation does not converge to any of the interference steering vectors. To further improve the proposed method in low signal-to-noise ratio (SNR), a hybrid method is proposed by incorporating the diagonal loading method into the IPN matrix reconstruction. Finally, various simulations are performed to demonstrate that the proposed beamformer provides strong robustness against a variety of array mismatches. The output signal-to-interference-plus-noise ratio (SINR) improvement of the beamformer due to the proposed method is significant.

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Xie, Zhuang, Jiahua Zhu, Chongyi Fan, and Xiaotao Huang. "An Improved Sub-Array Adaptive Beamforming Technique Based on Multiple Sources of Errors." Journal of Marine Science and Engineering 8, no. 10 (September 28, 2020): 757. http://dx.doi.org/10.3390/jmse8100757.

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In this paper, a new robust adaptive beamforming method is proposed in order to improve the robustness against steering vector (SV) mismatches that arise from multiple types of array errors. First, the sub-array technique is applied in order to obtain the decoupled sample covariance matrix (DSCM), in which the auxiliary sensors are selected to decouple the array. The decoupled interference-plus-noise covariance matrix (DINCM) is reconstructed with the estimated interference SV and maximum eigenvalue of the DSCM. Furthermore, the desired signal SV is estimated as the corresponding eigenvector determined by the correlation coefficients of the assumed SV and eigenvectors. Finally, the optimal weighting vector is obtained by combining the reconstructed DINCM and the estimated desired signal SV. Our simulation results show significant signal-to-interference-plus-noise ratio (SINR) enhancement of the proposed method over existing methods under multiple types of array errors.

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14

Sombrin, Jacques B. "Optimization criteria for power amplifiers." International Journal of Microwave and Wireless Technologies 3, no. 1 (February 2011): 35–45. http://dx.doi.org/10.1017/s1759078710000863.

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This paper describes existing and new criteria for comparison and optimization of non-linear power amplifiers such as RF or microwave transmitters. In addition to intermodulation, receiver noise, and losses in the transmission system, the proposed new criteria take into account efficiency or consumed power. This results in the global optimization of a combined signal-to-noise-plus-intermodulation ratio as a function of saturated or nominal power but also consumed or dissipated power. Saturated power is limited by available technology. Consumed power and dissipated power are some of the main constraints in telecommunication satellite payloads, mobile phone handsets, and RFID (Radio Frequency IDentification). Another constraint comes from the limited size of antennas, which limits the system equivalent isotropic radiated power and gain-to-temperature ratio. With the proposed criteria the designer will be able to compare different amplifier technologies and to optimize the design and operating point of each stage of a multistage amplifier or a linearizer for a given amplifier. Interference from same or other systems is also introduced in the optimization through the use of signal-to-noise-plus-IM-plus-interference ratio criteria.

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15

Richmond, Christ D. "Signal-to-interference plus noise ratio loss constrained robust adaptive beamformer inpsired by random matrix theory." Journal of the Acoustical Society of America 148, no. 4 (October 2020): 2476. http://dx.doi.org/10.1121/1.5146861.

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16

Wang, Lulu, Paul V. Brennan, Hongqiang Wang, and Kai-Kit Wong. "Minimax robust jamming techniques based on signal-to-interference-plus-noise ratio and mutual information criteria." IET Communications 8, no. 10 (July 3, 2014): 1859–67. http://dx.doi.org/10.1049/iet-com.2013.1054.

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17

Baroudi, Sami, and Yousef R. Shayan. "Evaluation of outage probability for uniformly distributed users based on signal-to-interference-plus-noise ratio." IET Communications 13, no. 9 (June 4, 2019): 1236–41. http://dx.doi.org/10.1049/iet-com.2018.5203.

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18

Eska, Andrita Ceriana. "Pengaruh Code Rate untuk Komunikasi RBS Femto Cell Frekuensi 47 GHz pada Tiang Lampu Jalan." JURNAL INFOTEL 9, no. 4 (November 9, 2017): 412. http://dx.doi.org/10.20895/infotel.v9i4.303.

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This research describes about the communication systems at radio-base-station femto cell that placed at street lamp. The frequency 47 GHz used at that communication systems. The analysis in this research consist of transmitter power variation, and code rate variation from signal-to-interference-plus-noise-ratio threshold 16 QAM. The transmitter power consist of 10 mW until 200 mW. The code rate variation from signal-to-interference-plus-noise-ratio threshold 16 QAM consist of 1/2, 2/3, 3/4, and 4/5. As the result showed relation between transmitter power with using code rate and relation between coverage area percentage at mobile station track with using code rate. Based on the relation between coverage area percentage with code rate value that is more increase code rate value then the percentage coverage area was getting decrease.

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19

Yadav, Ranjeet, and Ashutosh Tripathi. "3D MIMO Beamforming Using Spatial Distance SVM Algorithm and Interference Mitigation for 5G Wireless Communication Network." Journal of Cases on Information Technology 24, no. 4 (October 1, 2022): 1–26. http://dx.doi.org/10.4018/jcit.296717.

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In recent decades, Multiple Input Multiple Output beamforming is deliberated as the vital technology enablers for 5G mobile radio services. Since, it provides noticeable improvement regarding throughput and coverage measures in 5G networks. Primarily, executed 3D MIMO beamforming using the modified Support Vector Machine algorithm which forms beam effectually to the users. The interference is mitigated in two stages that are small cell interference and macro cell interference by measuring the interference power from the cells. To provide better security to the data transmitted over Device-to-Device communication, Advanced Encryption Standard algorithm is used. The results attained from the simulations are auspicious in terms of metrics including throughput, Signal to Interference plus Noise Ratio (SINR) and Signal to Noise Ratio (SNR). From the simulation results, we prove that our ML-3DIM method increases throughput, SINR, SNR by up to 20%, 30% and 35% respectively compared to the existing methods including PABM, ULABM, and NOMA.

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20

Hofmann, Jonas, Andreas Knopp, Chad M. Spooner, Giovanni Minelli, and James Newman. "Spectral Correlation for Signal Presence Detection and Frequency Acquisition of Small Satellites." Aerospace 8, no. 2 (February 22, 2021): 57. http://dx.doi.org/10.3390/aerospace8020057.

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Challenges in interference-limited satellite detection arising from the low-earth orbit (LEO) and the Industrial, Scientific and Medical (ISM) frequency bands are addressed. In particular, a novel signal presence detector based on cyclostationary signal properties is proposed and analyzed for a low signal-to-noise-plus-interference ratio (SINR) regime. The performance of the proposed detector, which is applicable to various small-satellite scenarios, is evaluated on both simulated and real-world measurement data. This measurement data has been collected from the scientific satellite mission “Picosats Realizing Orbital Propagation Calibrations using Beacon Emitters” (PROPCUBE).

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21

Bergel, Itsik, and Hagit Messer. "Optimization of CDMA Systems with Respect to Transmission Probability, Part II: Signal to Noise Plus Interference Ratio Optimization." IEEE Transactions on Wireless Communications 7, no. 6 (June 2008): 2084–93. http://dx.doi.org/10.1109/twc.2008.05946.

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22

Sakyi-Yeboah, E., P. S. Andam, L. Asiedu, and K. Doku-Amponsah. "Large deviations and information theory for sub-critical signal-to-interference-plus-noise ratio random network models." Journal of Information and Optimization Sciences 42, no. 8 (November 17, 2021): 1967–85. http://dx.doi.org/10.1080/02522667.2021.1995214.

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23

Bastidas-Puga, Enrique R., Ángel G. Andrade, Guillermo Galaviz, and David H. Covarrubias. "Handover based on a predictive approach of signal-to-interference-plus-noise ratio for heterogeneous cellular networks." IET Communications 13, no. 6 (April 2, 2019): 672–78. http://dx.doi.org/10.1049/iet-com.2018.5126.

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24

Sekulović, N., D. Aleksić, M. Stefanović, and D. Denić. "Performance analysis of signal-to-interference-plus-noise ratio-based selection diversity over correlated Rayleigh fading channels." IET Communications 5, no. 2 (January 21, 2011): 127–34. http://dx.doi.org/10.1049/iet-com.2010.0143.

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25

Kalbkhani, Hashem, Saleh Yousefi, and Mahrokh G. Shayesteh. "Adaptive handover algorithm in heterogeneous femtocellular networks based on received signal strength and signal-to-interference-plus-noise ratio prediction." IET Communications 8, no. 17 (November 27, 2014): 3061–71. http://dx.doi.org/10.1049/iet-com.2014.0230.

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26

Zhang, Hui, Xiaodong Xu, Jingya Li, and Xiaofeng Tao. "Subcarrier Resource Optimization for Cooperated Multipoint Transmission." International Journal of Distributed Sensor Networks 6, no. 1 (January 1, 2010): 509297. http://dx.doi.org/10.1155/2010/509297.

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The concept of Cooperated Multipoint (CoMP) transmission is proposed for LTE-Advanced, which is in a form of distributed networks. In this background, a novel CoMP architecture is proposed in this paper, based on Group Cell concept in China FuTURE 4G TDD systems. Moreover, four actual scenarios are also concluded in CoMP, which, respectively, are single user in intracell, multiple users in intracell, single user in intercell and slide handover in intercell. In addition, a joint subcarrier optimization method is proposed to mitigate the intercell interference and improve performance under CoMP architecture; the method includes two aspects, which, respectively, are subcarrier allocation with maximum gain to interference plus noise ratio (GINR) and power allocation based on balanced signal to interference plus noise ratio (SINR). On this basis, three combined schemes are presented in simulation. Compared with traditional scheme, the proposed scheme improves throughputs and reduces blocking probability. Moreover, the average data rates in cell edge are also raised.

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27

Hwang, Fuh-Hsin, and Tsui-Tsai Lin. "A Blind Two-Stage Receiver for MIMO-CDMA Systems." ISRN Communications and Networking 2011 (May 5, 2011): 1–7. http://dx.doi.org/10.5402/2011/147292.

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A blind two-stage multiple-input multiple-output (MIMO) receiver is proposed for code-division multiple access (CDMA) systems utilizing space-time block coding (STBC) over a multipath fading channel. Specifically, in the first stage, a signal-blocked (SB) interference-blocked (IB) detector is first constructed for collection of the desired signals and suppression of multiple access interference (MAI). In the second-stage, a decision-directed scheme is developed to alleviate desired signal cancellation. Computer simulations demonstrate that the proposed blind receiver can achieve a reliable output signal-to-interference-plus-noise ratio (SINR) performance approximating that of the optimal minimum mean squared error (MMSE) receiver and can exhibit the robustness against the finite data sample effect.

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28

Chu, Yi, Wei Yau Horng, Shinn Fwu Wang, Yuan Fong Chau, and Jeng Hua Wei. "Beam Width Performance of the Adaptive Beam Former Based on Pseudo-Interference Technique." Applied Mechanics and Materials 246-247 (December 2012): 1144–48. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1144.

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In this paper, we examine the beam width performance of the recently addressed robust Capon beam formers. This adaptive array employs the estimated steering vector, injected noise, and pseudo-interference to provide robustness against direction mismatch. With the generalized side lobe canceller (GSC) as the underlying structure, we first derive the effect of angular mismatch on the estimated interference correlation matrix. Then, a simple approximate expression is presented for output signal-to-interference-plus-noise-ratio (SINR) of this new beam former. Based on this expression, the angular beam width of this robust beam former is investigated. Simulation results verify the analytically predicted performance.

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29

Kihato, Peter, Stephen Musyoki, and Antony Onim. "Fractional Frequency Reuse Optimal SINR Threshold Selection Using NIR and ISODATA." Telecom 3, no. 3 (July 7, 2022): 433–47. http://dx.doi.org/10.3390/telecom3030023.

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A vital part of cellular network evolution has been long-term evolution networks. In these networks, it is important to mitigate inter-cell interference. Fractional frequency re-use has been proposed to address this. The method involves the division of cells into two regions based on a signal-to-interference-plus-noise-ratio threshold value. The inner region adopts a frequency re-use of one (1), while the outer region uses a higher frequency re-use factor. Setting the threshold value is a critical problem addressed in this paper. The proposed approach adapts techniques used in image processing called global-thresholding techniques. The approaches considered are iterative self-organizing data analysis and native integral ratio. Mobile stations in a cell continuously report their signal-to-interference-plus-noise-ratio values to the base station. These reported values are used to determine a threshold which dictates which subscribers fall in the inner and outer regions. The threshold value is periodically updated based on the new reported values over time. Simulations are used to assess the performance using throughput and fairness metrics. By setting the threshold optimally, better throughputs and fairness are then achieved. We concluded that native integral ratio marginally outperformed the iterative self-organizing data analysis method, and it significantly outperformed static fractional frequency reuse techniques.

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30

Liu, Gaozheng, Li Chen, and Weidong Wang. "Location-based achievable signal-to-interference-plus-noise ratio in visible light communication network with different topology parameters." Optical Engineering 56, no. 7 (July 25, 2017): 076109. http://dx.doi.org/10.1117/1.oe.56.7.076109.

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31

Wu, Wei-De, Cheng-Chia Lee, Chung-Hsuan Wang, and Chi-chao Chao. "Signal-to-Interference-Plus-Noise Ratio Analysis for Direct-Sequence Ultra-Wideband Systems in Generalized Saleh–Valenzuela Channels." IEEE Journal of Selected Topics in Signal Processing 1, no. 3 (October 2007): 483–97. http://dx.doi.org/10.1109/jstsp.2007.906642.

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32

Olivier Konan, N'Goran Franck Raoul, Elijah Mwangi, and Ciira Maina. "Enhancement of Signal to Interference plus Noise Ratio Prediction (SINR) in 5G Networks using a Machine Learning Approach." International Journal of Engineering Trends and Technology 70, no. 10 (October 31, 2022): 319–28. http://dx.doi.org/10.14445/22315381/ijett-v70i10p231.

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33

Ahmed, Mohamad Abdulrahman, Khalid F. Mahmmod, and Mohammed M. Azeez. "On the performance of non-orthogonal multiple access (NOMA) using FPGA." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 2151. http://dx.doi.org/10.11591/ijece.v10i2.pp2151-2163.

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In this paper, non-orthogonal multiple access (NOMA) is designed and implemented for the fifth generation (5G) of multi-user wireless communication. Field-programmable gate array (FPGA) is considered for the implementation of this technique for two users. NOMA is applied in downlink phase of the base-station (BS) by applying power allocation mechanism for far and near users, in which one signal contains the superposition of two scaled signals depending on the distance of each user from the BS. We assume an additive white Gaussian noise (AWGN) channel for each user in the presence of the interference due to the non-orthogonality between the two users’ signals. Therefore, successive-interference cancellation (SIC) is exploited to remove the undesired signal of the other user. The outage probability and the bit-error rate performance are presented over different signal-to-interference-plus-noise ratio (SINR). Furthermore, Monte-Carlo simulations via Matlab are utilized to verify the results obtained by FPGA, which show exact-close match.

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Cho, Yong-Sang, Yun-Seong Kang, and Moonsik Min. "Uplink Transmit Power Control for Single-Carrier Grouped FDMA with Iterative Multiuser Detection." Applied Sciences 10, no. 1 (December 22, 2019): 119. http://dx.doi.org/10.3390/app10010119.

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We consider an uplink power allocation scheme for single-carrier frequency-division multiple access (FDMA) with iterative multiuser detection, called single-carrier grouped FDMA (SC-GFDMA). SC-GFDMA is a non-orthogonal scheme in which several users share a single time-frequency resource. Hence, the uplink signal of a user can be regarded as both a signal and a source of interference. The signal power of each user should be sufficiently high to ensure reliable signal detection and sufficiently low to suppress inter-user interference. That is, the transmit power of each user should be adjusted appropriately to achieve high spectral efficiency. In this context, a power control method for an uplink SC-GFDMA system is proposed by analyzing the signal-to-interference-plus-noise ratios of users sharing each time-frequency resource. In particular, the uplink spectral efficiency is improved by limiting the transmit power of each user according to a criterion derived using a semi-analytic method called signal-to-noise ratio-variance density evolution. Simulation results demonstrate that the proposed method can significantly increase the spectral efficiency of the system, even with a considerably reduced total transmit power.

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Mohammed, Shanga, and Araz Ameen. "Impact of Inter Cell Interference on the Performance of Homogenous Cellular Systems." Sulaimani Journal for Engineering Sciences 9, no. 3 (April 1, 2023): 26–36. http://dx.doi.org/10.17656/sjes.10159.

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Deployment of cellular system with frequency reuse of one is critical to support increased data traffic and high data rate applications in 4G and beyond radio interface technologies. Such deployment leads to substantial increase in Inter-Cell Interference (ICI). Therefore, this paper investigates and evaluates the capacity performance of mobile cellular system with a frequency reuse of one and three-sector per Base Station (BS). The communication channel between the BSs and user equipment links is modeled using ITU-R channel model. The study considers different carrier frequencies and different cell ranges. The system performance is assessed in terms of Signal to Noise Ratio (SNR), Signal to Interference plus Noise Ratio (SINR) and ergodic capacity. The SNR and ergodic capacity improve significantly as the cell range and carrier frequency decreases for ICI free scenario. However, for ICI scenario, there are slight variation in the performance when changing the cell range and the carrier frequency. The study recommends a cell size of 800 m.

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Lu, Jian, Jian Yang, Bo Hou, Fengchao Zhu, Zhiyong Yu, and Guangbin Liu. "Virtual Reconstruction-Based Robust Adaptive Beamforming for Distributed Digital Subarray Antennas." International Journal of Antennas and Propagation 2021 (January 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/6649439.

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For the distributed digital subarray antennas (DDSA), the conventional beamforming may give rise to grating lobes, high sidelobes, and other problems. In this paper, the gaps between the subarrays are filled with virtual array elements, and then the DDSA can form a virtual contiguous array. More concretely, based on the direction-of-arrival (DOA) estimation of the signal sources, the interference components of the virtual elements and the interference-plus-noise covariance matrix (INCM) of the virtual contiguous array can be reconstructed. At low signal-to-noise ratio (SNR), the DOA estimation of the desired signal is implemented by subarray adaptive beamforming. Finally, with the steering vector of the desired signal and reconstructed INCM, the weight vector of the proposed beamformer can be obtained, which must be applied to the rearranged data matrix received by the actual and virtual elements. Simulation results are provided to demonstrate the effectiveness of the proposed algorithm.

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Shahjehan, Waleed, Syed Shah, Jaime Lloret, and Ignacio Bosch. "A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization." Entropy 20, no. 8 (July 24, 2018): 546. http://dx.doi.org/10.3390/e20080546.

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Aiming at the limitations of the existing Limited Feedback Interference Alignment algorithms, this paper proposes a direct codeword selection scheme that maximizes the lower-bound of the user rate and reduces the sum rate loss by integrating the Bit Allocation algorithm. The target signal is decoded using the maximum signal to interference plus noise ratio (MAX-SINR) algorithm. Moreover, low complexity and global searching mechanisms are deployed to select the optimized codewords from the generated sets of codewords that approach the ideal precoder. Simulation results show that the proposed algorithm effectively improves the rate lower-bound of the system user as compared with the existing state-of-the-art algorithms.

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Wang, Quanhui, and Ying Sun. "Waveform Optimization of Compressed Sensing Radar without Signal Recovery." Information 10, no. 9 (August 29, 2019): 271. http://dx.doi.org/10.3390/info10090271.

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Radar signal processing mainly focuses on target detection, classification, estimation, filtering, and so on. Compressed sensing radar (CSR) technology can potentially provide additional tools to simultaneously reduce computational complexity and effectively solve inference problems. CSR allows direct compressive signal processing without the need to reconstruct the signal. This study aimed to solve the problem of CSR detection without signal recovery by optimizing the transmit waveform. Therefore, a waveform optimization method was introduced to improve the output signal-to-interference-plus-noise ratio (SINR) in the case where the target signal is corrupted by colored interference and noise having known statistical characteristics. Two different target models are discussed: deterministic and random. In the case of a deterministic target, the optimum transmit waveform is derived by maximizing the SINR and a suboptimum solution is also presented. In the case of random target, an iterative waveform optimization method is proposed to maximize the output SINR. This approach ensures that SINR performance is improved in each iteration step. The performance of these methods is illustrated by computer simulation.

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Sarasvathi, V., and N. Ch S. N. Iyengar. "A Multi Route Rank Based Routing Protocol for Industrial Wireless Mesh Sensor Networks." Cybernetics and Information Technologies 16, no. 4 (December 1, 2016): 73–86. http://dx.doi.org/10.1515/cait-2016-0069.

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Abstract Wireless Mesh Sensor nodes are deployed in harsh environments, like Industrial Wireless Mesh Sensor Networks (IWMSN). There the equipment is exposed to temperature and electrical noise, so providingareliable, interference free and efficient communication in this environment isachallenge. We proposea Multi Route Rank based Routing (MR3) protocol, which enhances the link dynamics for IWMSNand also provides interference free reliable packet delivery in harsh environments. The rank ofanode is estimated based on density, hop count, energy and Signal to Interference plus Noise Ratio (SINR). The route discovery phase finds the rank value to forward the data packet inareliable path. Once the forwarding path is established, subsequently the data packets can be propagated towards the destination without using any location information. Our simulation results show that this method improves the packet delivery ratio and the throughput tremendously, and at the same time minimizes the packet delay, in heavy traffic condition.

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Shahjehan, Waleed, Syed Shah, Jaime Lloret, and Ignacio Bosch. "Joint Interference and Phase Alignment among Data Streams in Multicell MIMO Broadcasting." Applied Sciences 8, no. 8 (July 26, 2018): 1237. http://dx.doi.org/10.3390/app8081237.

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For the problem of channel state information (CSI) delay and error, this paper proposes a joint interference and phase alignment algorithm based on Bayesian estimation and power allocation among data streams for multicell, multiple-input multiple-output broadcast channels (MIMO-BC). Firstly, the sender obtains the best estimate of the current CSI through Bayesian estimation. Secondly, the interference suppression matrix is designed by maximizing the ratio of the desired signal power to the intercell interference plus noise ratio (SINR) in the forward link, and in the reverse communication, by maximizing the SINR design precoding. Further, the water-filling algorithm is combined to optimize power allocation among data streams. Finally, the phase alignment is used to rotate the interference between data streams into the signal space of the target receive data stream, thereby enhancing the received power of the target data stream. Simulation results show that the proposed algorithm has certain performance advantages over other algorithms, whether it is ideal CSI or delay and error CSI.

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Rajaram, Akashkumar, Dushnatha Nalin K. Jayakody, Rui Dinis, and Marko Beko. "Energy Efficient Secure Communication Model against Cooperative Eavesdropper." Applied Sciences 11, no. 4 (February 9, 2021): 1563. http://dx.doi.org/10.3390/app11041563.

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In a wiretap channel system model, the jammer node adopts the energy-harvesting signal as artificial noise (jamming signal) against the cooperative eavesdroppers. There are two eavesdroppers in the wiretap channel: eavesdropper E1 is located near the transmitter and eavesdropper E2 is located near the jammer. The eavesdroppers are equipped with multiple antennas and employ the iterative block decision feedback equalization decoder to estimate the received signal, i.e., information signal at E1 and jamming signal at E2. It is assumed that E1 has the channel state information (CSI) of the channel between transmitter and E1, and similarly, E2 has the CSI of channel between jammer and E2. The eavesdroppers establish communication link between them and cooperate with each other to reduce the information signal interference at E2 and jamming signal interference at E1. The performance of decoders depends on the signal to interference plus noise ratio (SINR) of the received signal. The power of information signal is fixed and the power of the jamming signal is adjusted to improve the SINR of the received signal. This research work is solely focused on optimizing the jamming signal power to degrade the performance of cooperative eavesdroppers. The jamming signal power is optimized for the given operating SINR with the support of simulated results. The jamming signal power optimization leads to better energy conservation and degrades the performance of eavesdroppers.

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Wongchampa, Paleerat. "Reduction of interference using Orthogonal Vertical Beamforming in an indoor communication." MATEC Web of Conferences 277 (2019): 02013. http://dx.doi.org/10.1051/matecconf/201927702013.

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The interference between users is one of the factors that limit the achievable user throughput in the current indoor communication. In this paper, an evaluation of transmit beamforming contribution is analyzed in the context of an indoor environment. The technique of the Orthogonal Vertical Beamforming (OVB) has been proposed to reduce interference in an indoor communication. The proposed concept is validated through computer simulation in term of Signal Interference plus Noise Ratio (SINR). The obtained results show that the OVB provides higher performance over the conventional vertical beamforming and Orthogonal Beamforming (OBFM) in an only vertical plane.

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Maurizka, Alvita, F. Hamdani, M. M. Ulfah, and Iskandar Iskandar. "Soft Frequency Reuse (SFR) in LTE-A Heterogeneous Networks based upon Power Ratio Evaluation." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (June 1, 2018): 1569. http://dx.doi.org/10.11591/ijece.v8i3.pp1569-1576.

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As the traffic demand grows and the RF environment changes, the mobile network relies on techniques such as SFR in Heterogeneous Network (HetNet) to overcome capacity and link budget limitation to maintain user experience. Inter-Cell Interference (ICI) strongly affecting Signal-to-Interference plus Noise Ratio (SINR) of active UEs, especially cell-edge users, which leads to a significant degradation in the total throughput. In this paper we evaluate the performance of SFR with HetNet system in order dealing with interferences. Simulation result shows that the power ratio control in SFR HetNet system doesn’t have much effect on total achieved capacity for overall cell.

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Kabiri, Sepideh, Tahereh Lotfollahzadeh, Mahrokh G. Shayesteh, and Hashem Kalbkhani. "Modelling and forecasting of signal‐to‐interference plus noise ratio in femtocellular networks using logistic smooth threshold autoregressive model." IET Signal Processing 9, no. 1 (February 2015): 48–59. http://dx.doi.org/10.1049/iet-spr.2014.0065.

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He, Tao, Guangjun Sun, and Shujuan Ding. "Main lobe interference suppression method of Skywave OTHR based on fast-time STAP." Journal of Physics: Conference Series 2414, no. 1 (December 1, 2022): 012012. http://dx.doi.org/10.1088/1742-6596/2414/1/012012.

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Abstract For the sky-wave over-the-horizon radar (OTHR), how to effectively suppress the radio frequency interference (RFI)from the main-lobe direction is a problem. To solve this problem, this paper proposes a new space-fast time adaptive processing (fast-time STAP) which merges the matched filter coefficients used for pulse compression and the time steering vector of fast-time STAP. To compare with conventional methods, the method improves the match between the space-time steering vector of fast-time STAP and the real target signal, while the RFI and the noise from RFI are effectively suppressed by the interference-plus-noise covariance matrix which is composed of raw data. At the same time, the signal-to-noise ratio is improved. Compared with the traditional method, this method can be better applied to practical engineering. The results of computer simulation and experiments with real radar data verify the effectiveness of the proposed method.

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Nguyen, Nhan Duc, Anh-Tu Le, Dinh-Thuan Do, and Munyaradzi Munochiveyi. "Dual-Hop Transmission and Multiple Relays for Performance Analysis of Designing Physical Layer Security for IoT Networks." Journal of Sensors 2022 (September 15, 2022): 1–14. http://dx.doi.org/10.1155/2022/4915583.

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This article presents a secure performance metric of a downlink nonorthogonal multiple access (NOMA) in the presence of interference from the traditional user. In the context of NOMA, we deploy two-hop transmission to improve the performance of destinations. Further, multiple relays are implemented to aid robust signal-to-interference-plus-noise ratio (SINR) at destinations. We derive a closed-form expression of secure outage probability (SOP) to characterize security concerns in the case an eavesdropper exists in the overage of second hop transmission. We verify all expressions by employing Monte Carlo simulations.

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Wang, Xinlei, Zhenqiang Wu, and Zhen Jia. "Improving Reliability Performance of Molecular Communication Based on Drift Diffusion with Ratio Detection Algorithm." International Journal of Nanoscience 20, no. 03 (May 12, 2021): 2150026. http://dx.doi.org/10.1142/s0219581x21500265.

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Reliability is a vital issue in the area of communication. In this paper, we particularly investigate the reliability issue for molecular communication based on drift diffusion (MCD2). Since molecules easily accumulate in the channel to produce strong internal symbol interference (ISI), the receiver nanomachine will generate high bit error rate (BER) for the process of decode information. Based on this problem, on the premise of considering channel diffusion noise and ISI noise, the expression of channel BER is deduced to analyze reliability. Then a ratio detection algorithm (RDA) is proposed to reduce BER to improve the reliability performance that enables the receiver nanomachine to adapt the channel condition. Furthermore, an expression of signal to interference plus noise ratio is defined in numerical simulation to verify our goal with different parameters, as well as with the adoption of RDA. The results indicate that the performance of RDA in reducing BER works well in general case in improving reliability performance for MCD2.

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Kim, Taehyoung, and Sangjoon Park. "Statistical Beamforming for Massive MIMO Systems with Distinct Spatial Correlations." Sensors 20, no. 21 (November 2, 2020): 6255. http://dx.doi.org/10.3390/s20216255.

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In this paper, we propose a novel statistical beamforming (SBF) method called the partial-nulling-based SBF (PN-SBF) to serve a number of users that are undergoing distinct degrees of spatial channel correlations in massive multiple-input multiple-output (MIMO) systems. We consider a massive MIMO system with two user groups. The first group experiences a low spatial channel correlation, whereas the second group has a high spatial channel correlation, which can happen in massive MIMO systems that are based on fifth-generation networks. By analyzing the statistical signal-to-interference-plus-noise ratio, it can be observed that the statistical beamforming vector for the low-correlation group should be designed as the orthogonal complement for the space spanned by the aggregated channel covariance matrices of the high-correlation group. Meanwhile, the spatial degrees of freedom for the high-correlation group should be preserved without cancelling the interference to the low-correlation group. Accordingly, a group-common pre-beamforming matrix is applied to the low-correlation group to cancel the interference to the high-correlation group. In addition, to deal with the intra-group interference in each group, the post-beamforming vector for each group is designed in the manner of maximizing the signal-to-leakage-and-noise ratio, which yields additional performance improvements for the PN-SBF. The simulation results verify that the proposed PN-SBF outperforms the conventional SBF schemes in terms of the ergodic sum rate for the massive MIMO systems with distinct spatial correlations, without the rate ceiling effect in the high signal-to-noise ratio region unlike conventional SBF schemes.

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Xi, Yanpeng, Jian Liu, and Wenhao Zhao. "SATCOM Earth Station Arrays Anti-Jamming Based on MVDR Algorithm." Applied Sciences 13, no. 14 (July 19, 2023): 8337. http://dx.doi.org/10.3390/app13148337.

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In modern life, a large amount of information is transmitted through satellites. The anti-jamming ability of satellite communication earth stations is the basis for ensuring the smooth flow of information. In the case that multiple small earth stations cannot communicate due to jamming, the minimum variance distortionless response (MVDR) algorithm based on reflector antenna array is proposed. Firstly, the gain expression of satellite communication earth station antenna is derived, and the mathematical model of the received signal of the reflector antenna array is established. Then, the MVDR beamforming algorithm based on the reflector antenna is proposed and applied to the satellite communication earth station reflector antenna array, and the anti-jamming capability of the reflector antenna array using this algorithm is analyzed through simulation. The simulation results show that the earth station reflector antenna array using MVDR algorithm can effectively achieve array gain of the direction of the satellite signal, suppress the jamming signals, increase the output signal to interference plus noise ratio (SINR) of the reflector antenna array, and increase the output signal to jamming plus noise ratio with the increase in the number of snapshots.

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Zhou, Wen, Xinhong Hao, Jin Yang, Lefan Duan, Qiuyan Yang, and Jianqiu Wang. "Interference Mitigation Method for Millimeter-Wave Frequency-Modulation Continuous-Wave Radar Based on Outlier Detection and Variational Modal Decomposition." Remote Sensing 15, no. 14 (July 21, 2023): 3654. http://dx.doi.org/10.3390/rs15143654.

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Aiming at the problem of mutual interference between millimeter-wave frequency-modulation continuous-wave (FMCW) radars, an interference mitigation method based on outlier detection and variational mode decomposition (VMD) is proposed in this paper. Firstly, by differential processing of the raw millimeter-wave FMCW radar data, combined with threshold detection, the interfered sample area is located. Adaptive amplitude limiting is applied to the interfered samples to achieve initial suppression of the interference. Then, based on the VMD algorithm, the processed data are adaptively decomposed to obtain multiple intrinsic mode functions (IMFs). The Pearson correlation coefficient between each IMF and the signal before decomposition is calculated, and the IMF with the maximum Pearson correlation coefficient is extracted as the signal component to achieve the separation of the target signal from the interference and noise. The proposed method was validated based on simulation and experimental data. The results show that the proposed method achieves the best performance in terms of signal-to-interference-plus-noise ratio (SINR), mean square error (MSE), and kurtosis in frequency (KF) compared with empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and complete ensemble empirical mode decomposition (CEEMD). Further comparison was made with two typical methods, and the Range–Doppler (RD) map and SINR results showed that the proposed method exhibited certain performance advantages.

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