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Relevant bibliographies by topics / Carrier to Noise plus Interference ratio (CNIR)

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Academic literature on the topic 'Carrier to Noise plus Interference ratio (CNIR)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Carrier to Noise plus Interference ratio (CNIR)"

1

Shamsan, Zaid Ahmed, and Ahmed Al-Saman. "Performance of the DBS Satellite Receiver under the Impact of Rainfall and Terrestrial Interference." Wireless Communications and Mobile Computing 2021 (September 8, 2021): 1–12. http://dx.doi.org/10.1155/2021/5595294.

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This article presents a new study on the feasibility of operating a direct broadcasting satellite (DBS) system under the effect of both precipitation and interference from a fixed service (FS) at K-band in a semiarid region. The carrier-to-noise plus interference ratio (CNIR) as a protection criterion has been adopted to make sure that the receiver of the DBS system operates with an acceptable performance under rainfall and interference from FS. Various measured data for rainfall in different areas have been utilized to investigate different rain rate exceedance percentages. Results have been

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2

Kanellopoulos, J. D., and S. N. Livieratos. "Analysis of the Total Carrier-To-Noise Plus Interference Ratio Statistics Applied To Adjacent Satellite Interference Under the Presence of Rain." Journal of Electromagnetic Waves and Applications 12, no. 4 (1998): 527–55. http://dx.doi.org/10.1163/156939398x00935.

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3

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 (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 a

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4

Livieratos, S. N., and J. D. Kanellopoulos. "Prediction of the degradation of the carrier-to-noise plus interference ratio concerning a site diversity system suffering from differential rain attenuation." Radio Science 37, no. 5 (2002): 18–1. http://dx.doi.org/10.1029/2000rs002618.

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5

Wang, Wen-Qin, Huaizong Shao, and Jingye Cai. "Range-Angle-Dependent Beamforming by Frequency Diverse Array Antenna." International Journal of Antennas and Propagation 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/760489.

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This paper proposes a range-angle-dependent beamforming for frequency diverse array (FDA) antenna systems. Unlike conventional phased-array antenna, the FDA antenna employs a small amount of frequency increment compared to the carrier frequency across the array elements. The use of frequency increment generates an antenna pattern that is a function of range, time and angle. The range-angle-dependent beamforming allows the FDA antenna to transmit energy over a desired range or angle. This provides a potential to suppress range-dependent clutter and interference which is not accessible for conve

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6

Nguyễn, Tiến Hoa, Việt Hà Đỗ, and Văn Đức Nguyễn. "Impact of Inter-Channel Interference on Shallow Underwater Acoustic OFDM Systems." Journal of Research and Development on Information and Communication Technology 2020, no. 1 (2020): 42–49. http://dx.doi.org/10.32913/mic-ict-research.v2020.n1.929.

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This paper investigates the impacts of Inter-Channel Interference (ICI) effects on a shallow underwater acoustic (UWA) orthogonal frequency-division multiplexing (OFDM) communication system. Considering both the turbulence of the water surface and the roughness of the bottom, a stochastic geometry-based channel model utilized for a wide-band transmission scenario has been exploited to derive a simulation model. Since the system bandwidth and the sub-carrier spacing is very limited in the range of a few kHz, the channel capacity of a UWA system is severely suffered by the ICI and Doppler effect

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7

Raimundo-Neto, E., J. R. G. da Rosa, M. A. F. Casaroli, I. Feliciano da Costa, A. M. Alberti, and Arismar Cerqueira Sodré. "Implementation of an Optical-Wireless Network with Spectrum Sensing and Dynamic Resource Allocation Using Optically Controlled Reconfigurable Antennas." International Journal of Antennas and Propagation 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/670930.

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This work proposes the concept and reports the implementation of an adaptive and cognitive radio over fiber architecture. It is aimed at dealing with the new demands for convergent networks by means of simultaneously providing the functionalities of multiband radiofrequency spectrum sensing, dynamic resource allocation, and centralized processing capability, as well as the use of optically controlled reconfigurable antennas and radio over fiber technology. The performance of this novel and innovative architecture has been evaluated in a geographically distributed optical-wireless network under

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8

Kanellopoulos, J. D., and S. N. Livieratos. "Analysis of the Degradation of the Carrier-To-Noise Plus Total Interference Ratio Concerning a Dual Polarization Site Diversity System Suffering From Differential Rain Attenuation." Journal of Electromagnetic Waves and Applications 16, no. 10 (2002): 1395–417. http://dx.doi.org/10.1163/156939302x00048.

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9

Katsambas, Vasilios K., and John D. Kanellopoulos. "A model for the estimation of the carrier-to-noise plus total interference ratio between two adjacent dual polarized satellite links sharing the same frequency band." International Journal of Satellite Communications and Networking 23, no. 1 (2004): 77–90. http://dx.doi.org/10.1002/sat.808.

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Yussuff, Abayomi Isiaka O., and Abdul-Rasaq A. Bakare. "Performance evaluation of inter-cell interference prediction in massive MIMO." Applied Journal of Physical Science 3, no. 1 (2021): 28–36. http://dx.doi.org/10.31248/ajps2021.039.

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This paper presents inter-cell interference prediction in massive multiple input multiple output. The rapid demand for widespread multimedia services notwithstanding the deployment of 4G in Lagos, Nigeria and the urgent need to upgrade to 5G networks with downlink and uplink data capacities of not less than 300 and 60 Mbps, respectively for at least 95% penetration rate at any instantaneous time; there is a possibility of experiencing crosstalk and adjacent inter-cell interference within the receiving antennas. 5G inter-cell interference prediction scheme that employs LTE performance index usi

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Dissertations / Theses on the topic "Carrier to Noise plus Interference ratio (CNIR)"

1

Chhabra, Saurbh. "An Analytical Tool for Calculating Co-Channel Interference in Satellite Links That Utilize Frequency Reuse." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35122.

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This thesis presents the results of the development of a user-friendly computer code (in MATLAB) that can be used to calculate co-channel interferences, both in the downlink and in the uplink of a single satellite/space-based mobile communications system, due to the reuse of frequencies in spot beams or coverage cells. The analysis and computer code can be applied to any type of satellite or platform elevated at any height above earth. The cells or beams are defined in the angular domain, as measured from the satellite or the elevated platform, and cell centers are arranged in a hexagonal latt

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Conference papers on the topic "Carrier to Noise plus Interference ratio (CNIR)"

1

Zhang, Wei, Zhongshan Zhang, and Chintha Tellambura. "Signal-to-Interference-Plus-Noise Ratio Analysis for MIMO-OFDM with Carrier Frequency Offset and Channel Estimation Errors." In 2007 IEEE Wireless Communications and Networking Conference. IEEE, 2007. http://dx.doi.org/10.1109/wcnc.2007.176.

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