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Journal articles on the topic 'Channel state information'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Shimray, Somipam Ronra, and Chennupati K. Ramaiah. "Information Channel Preference in Seeking Cultural Heritage Information A Study." DESIDOC Journal of Library & Information Technology 42, no. 2 (2022): 98–104. http://dx.doi.org/10.14429/djlit.42.2.17605.

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Information is accessed through a variety of routes, one of which is an information channel. The formal channel follows a structured path, whereas the informal channel takes a more unstructured path. This study primarily looks into the channel(s) used for seeking cultural heritage information among the Tangkhul tribe from Manipur state, India and also checked the significant change between studied variables and demographic variables. This study employed a stratified random sampling method to draw the sample. The study used a survey method and a structured questionnaire tool for data collection

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2

Li, Ying, Yi Jun Zhu, Lan Ma, and Yao Zhu. "On the Capacity of MIMO Channels with Outdated Channel State Information." Advanced Materials Research 204-210 (February 2011): 2053–56. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.2053.

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A Multiple-input multiple-output (MIMO) time-varying flat fading channel is considered. The transmitter obtained the channel state information (CSI) relying on the reciprocity principle or by the feedback from the receiver. Thus, channel state information at the transmitter (CSIT) is outdated due to the delay between the estimation of the channel and the transmission of the data. In order to achieve the maximum channel capacity, the transmitter linearly precoded the signal before transmission based on the outdated CSIT. Under the assumptions of wide-sense stationary uncorrelated scattering Ray

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3

Tulay, Halit Bugra, and Can Emre Koksal. "Road State Inference via Channel State Information." IEEE Transactions on Vehicular Technology 72, no. 7 (2023): 8329–41. http://dx.doi.org/10.1109/tvt.2023.3244085.

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4

Dai, Bin, A. Vinck, Yuan Luo, and Xiaohu Tang. "Wiretap Channel with Action-Dependent Channel State Information." Entropy 15, no. 2 (2013): 445–73. http://dx.doi.org/10.3390/e15020445.

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5

Yin, Xinxing, Liang Pang, and Zhi Xue. "Wiretap Channel with Rate-Limited Channel State Information." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/643265.

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We revisit a channel coding problem where the channel state information (CSI) is rate-limited (or coded) and available to the channel encoder. A wiretapper is added into this model, and the confidential message is intended only for the legal receiver and should be kept from being eavesdropped by the wiretapper. Equivocation analysis is provided to evaluate the level of information leakage to the wiretapper. We characterize an achievable rate-equivocation region as well as an outer bound for this security model. To achieve the rate-equivocation triples, we propose an efficient coding scheme, in

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6

Sutivong, A., M. Chiang, T. M. Cover, and Y. H. Kim. "Channel Capacity and State Estimation for State-Dependent Gaussian Channels." IEEE Transactions on Information Theory 51, no. 4 (2005): 1486–95. http://dx.doi.org/10.1109/tit.2005.844108.

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7

Avirmed, Baasanchimed, Kaito Niinomi, and Michele Dall'Arno. "Adversarial guesswork with quantum side information." Quantum Information and Computation 23, no. 13&14 (2023): 1105–18. http://dx.doi.org/10.26421/qic23.13-14-3.

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The guesswork of a classical-quantum channel quantifies the cost incurred in guessing the state transmitted by the channel when only one state can be queried at a time, maximized over any classical pre-processing and minimized over any quantum post-processing. For arbitrary-dimensional covariant classical-quantum channels, we prove the invariance of the optimal pre-processing and the covariance of the optimal ost-processing. In the qubit case, we compute the optimal guesswork for the class of so-called highly symmetric informationally complete classical-quantum channels.

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8

DORLAS, T. C., and C. MORGAN. "CALCULATING A MAXIMIZER FOR QUANTUM MUTUAL INFORMATION." International Journal of Quantum Information 06, supp01 (2008): 745–50. http://dx.doi.org/10.1142/s0219749908004055.

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We obtain a maximizer for the quantum mutual information for classical information sent over the quantum amplitude damping channel. This is achieved by limiting the ensemble of input states to antipodal states, in the calculation of the product state capacity for the channel. We also consider the product state capacity of a convex combination of two memoryless channels and demonstrate in particular that it is in general not given by the minimum of the capacities of the respective memoryless channels.

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9

Rosgen, Bill. "Computational distinguishability of degradable and antidegradable channels." Quantum Information and Computation 10, no. 9&10 (2010): 735–46. http://dx.doi.org/10.26421/qic10.9-10-2.

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A channel is degradable if there exists a second channel that maps the output state of the channel to the environment state. These channels satisfy the property that the output state contains more information about the input than the environment does. A complementary class of channels is the antidegradable channels, which admit channels that map the environment state to the output state of the channel. In this paper we show that the computational problem of distinguishing two channels remains -complete when restricted to these classes of channels. This is shown using a construction of Cubitt,

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10

Varga, Domonkos. "Decision Fusion-Based Deep Learning for Channel State Information Channel-Aware Human Action Recognition." Sensors 25, no. 4 (2025): 1061. https://doi.org/10.3390/s25041061.

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WiFi channel state information (CSI) has emerged as a promising modality for human action recognition due to its non-invasive nature and robustness in diverse environments. However, most existing methods process CSI channels collectively, potentially overlooking valuable channel-specific information. In this study, we propose a novel architecture, DF-CNN, which treats CSI channels separately and integrates their outputs using a decision fusion (DF) strategy. Extensive experiments demonstrate that DF-CNN significantly outperforms traditional approaches, achieving state-of-the-art performance. W

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11

Nguyen, Gam D., Sastry Kompella, Clement Kam, and Jeffrey E. Wieselthier. "Information freshness over a Markov channel: The effect of channel state information." Ad Hoc Networks 86 (April 2019): 63–71. http://dx.doi.org/10.1016/j.adhoc.2018.10.010.

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12

Kramer, Gerhard. "Information Rates for Channels with Fading, Side Information and Adaptive Codewords." Entropy 25, no. 5 (2023): 728. http://dx.doi.org/10.3390/e25050728.

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Generalized mutual information (GMI) is used to compute achievable rates for fading channels with various types of channel state information at the transmitter (CSIT) and receiver (CSIR). The GMI is based on variations of auxiliary channel models with additive white Gaussian noise (AWGN) and circularly-symmetric complex Gaussian inputs. One variation uses reverse channel models with minimum mean square error (MMSE) estimates that give the largest rates but are challenging to optimize. A second variation uses forward channel models with linear MMSE estimates that are easier to optimize. Both mo

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13

Rosenzweig, A., Y. Steinberg, and S. Shamai. "On Channels With Partial Channel State Information at the Transmitter." IEEE Transactions on Information Theory 51, no. 5 (2005): 1817–30. http://dx.doi.org/10.1109/tit.2005.846422.

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14

Caire, G., and S. Shamai. "On the capacity of some channels with channel state information." IEEE Transactions on Information Theory 45, no. 6 (1999): 2007–19. http://dx.doi.org/10.1109/18.782125.

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15

Bloch, Matthieu R., and J. Nicholas Laneman. "Exploiting Partial Channel State Information for Secrecy over Wireless Channels." IEEE Journal on Selected Areas in Communications 31, no. 9 (2013): 1840–49. http://dx.doi.org/10.1109/jsac.2013.130916.

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16

Akhbari, B., M. R. Aref, and R. Khosravi-Farsani. "Cooperative relay broadcast channels with partial causal channel state information." IET Communications 5, no. 6 (2011): 760–74. http://dx.doi.org/10.1049/iet-com.2010.0093.

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17

Vishwakarma, Shubham, and ,. Prof Neelam Sharma. "Channel State Information Based Equalizer Design for Frequency Selective Channels." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26138.

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Abstract—Equalizer design is an extremely critical aspect for wireless networks. This paper presents an approach combining the decision feedback mechanism and successive signal detection to equalize frequency selective channel effects for signals traversing different run-lengths. In this approach, the errors on comparison between the transmitted signal and received signal are fed to the equalizer to adjust the tap weights. Still the irreversible nature of inter symbol interference is a huge challenge due to multi path propagation mechanisms in wireless channels. It is a common observation that

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18

Tadayon, Navid, Muhammed Tahsin Rahman, Shuo Han, Shahrokh Valaee, and Wei Yu. "Decimeter Ranging With Channel State Information." IEEE Transactions on Wireless Communications 18, no. 7 (2019): 3453–68. http://dx.doi.org/10.1109/twc.2019.2914194.

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19

Zhan, Jiening, and Michael Gastpar. "Functional Forwarding of Channel State Information." IEEE Transactions on Information Theory 60, no. 2 (2014): 1008–18. http://dx.doi.org/10.1109/tit.2013.2291002.

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20

Ma, Yongsen, Gang Zhou, and Shuangquan Wang. "WiFi Sensing with Channel State Information." ACM Computing Surveys 52, no. 3 (2019): 1–36. http://dx.doi.org/10.1145/3310194.

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21

Chia, Yeow-Khiang, and Abbas El Gamal. "Wiretap Channel With Causal State Information." IEEE Transactions on Information Theory 58, no. 5 (2012): 2838–49. http://dx.doi.org/10.1109/tit.2011.2181329.

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22

Zhang, Lili, Jinhua Jiang, and Shuguang Cui. "Gaussian Interference Channel with State Information." IEEE Transactions on Wireless Communications 12, no. 8 (2013): 4058–71. http://dx.doi.org/10.1109/twc.2013.052213.121598.

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23

Alekseev, V. M. "COVERT CHANNELS OF INFORMATION TRANSFER." World of Transport and Transportation 15, no. 4 (2017): 50–56. http://dx.doi.org/10.30932/1992-3252-2017-15-4-5.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT The article deals with the organization of hidden channels of information transfer with the help of embedded agents in operating systems. The current state of research in this field of science, comparison with the world level, shows that there are no theoretical developments of hidden channel analyzers, as well as software and hardware implementation of their models. The author offers his approach to creating covert channel analyzers based on methods of self

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24

Adhikari, Satyabrata, Indranil Chakrabarty, and Pankaj Agrawal. "Probabilistic secret sharing through noise quantum channe." Quantum Information and Computation 12, no. 3&4 (2012): 253–61. http://dx.doi.org/10.26421/qic12.3-4-5.

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In a realistic situation, the secret sharing of classical or quantum information will involve the transmission of this information through noisy channels. We consider a three qubit pure state. This state becomes a mixed-state when the qubits are distributed over noisy channels. We focus on a specific noisy channel, the phase-damping channel. We propose a protocol for secret sharing of classical information with this and related noisy channels. This protocol can also be thought of as cooperative superdense coding. We also discuss other noisy channels to examine the possibility of secret sharing

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25

Okandeji, Alexander Akpofure. "Multicast Beamforming for SWIPT in MISO Full-Duplex Systems." Nigerian Journal of Technological Research 16, no. 1 (2021): 26–33. http://dx.doi.org/10.4314/njtr.v16i1.4.

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This paper considers the multicast transmit beamforming and receive power splitting problem for sum transmit power minimization for a simultaneous wireless information and power transfer (SWIPT) system subject to signal-to-interference-plus-noise ratio (SINR), and energy harvesting constraints at the receiver. In particular, we consider the case of perfect and imperfect channel state information (CSI) at the base station. Using semidefinite relaxation (SDR) technique, we obtain solution to the problem with imperfect channel state information of the self-interfering channels. Keywords: Si

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26

Jiang, Y., W. W. Hager, and J. Li. "Tunable Channel Decomposition for MIMO Communications Using Channel State Information." IEEE Transactions on Signal Processing 54, no. 11 (2006): 4405–18. http://dx.doi.org/10.1109/tsp.2006.880233.

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27

Pereg, Uzi, Christian Deppe, and Holger Boche. "Quantum Channel State Masking." IEEE Transactions on Information Theory 67, no. 4 (2021): 2245–68. http://dx.doi.org/10.1109/tit.2021.3050529.

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28

Roh, J. C., and B. D. Rao. "Multiple antenna channels with partial channel state information at the transmitter." IEEE Transactions on Wireless Communications 3, no. 2 (2004): 677–88. http://dx.doi.org/10.1109/twc.2003.821144.

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29

Liu, Jialing, Nicola Elia, and Sekhar Tatikonda. "Capacity-Achieving Feedback Schemes for Gaussian Finite-State Markov Channels With Channel State Information." IEEE Transactions on Information Theory 61, no. 7 (2015): 3632–50. http://dx.doi.org/10.1109/tit.2015.2437380.

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30

Maddah-Ali, Mohammad Ali, and David Tse. "Completely Stale Transmitter Channel State Information is Still Very Useful." IEEE Transactions on Information Theory 58, no. 7 (2012): 4418–31. http://dx.doi.org/10.1109/tit.2012.2193116.

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31

Weber, T., A. Sklavos, and M. Meurer. "Imperfect channel-state information in MIMO transmission." IEEE Transactions on Communications 54, no. 3 (2006): 543–52. http://dx.doi.org/10.1109/tcomm.2006.869783.

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32

Che, Rongjie, and Honglong Chen. "Channel State Information Based Indoor Fingerprinting Localization." Sensors 23, no. 13 (2023): 5830. http://dx.doi.org/10.3390/s23135830.

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Indoor localization is one of the key techniques for location-based services (LBSs), which play a significant role in applications in confined spaces, such as tunnels and mines. To achieve indoor localization in confined spaces, the channel state information (CSI) of WiFi can be selected as a feature to distinguish locations due to its fine-grained characteristics compared with the received signal strength (RSS). In this paper, two indoor localization approaches based on CSI fingerprinting were designed: amplitude-of-CSI-based indoor fingerprinting localization (AmpFi) and full-dimensional CSI

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33

Zhen, Ziyang, Ju Jiang, Zhisheng Wang, and Xinhua Wang. "Information Fusion Based Decoupling Control for Multivariable Nonlinear System." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/361581.

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A decoupling control method based on information fusion estimation for a nonlinear system is presented in the paper. For each main channel and its coupled channels of the system, according to the information fusion theorem, the estimation of the system future state is obtained by fusing the information of the desired output trajectory of the system. Furthermore, approximate optimal control rule is obtained by fusing the system future state information and the control energy soft constraint information. Then an information fusion based decoupling control (IFBDC) system is established for the no

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34

Zinchenko, Volodymyr L., and Volodymyr O. Lyfar. "Information and mathematical model of quantum communication channel state control processes." Environmental safety and natural resources 51, no. 3 (2024): 151–60. http://dx.doi.org/10.32347/2411-4049.2024.3.151-160.

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The most protected and stable communication systems today are quantum channels of information transmission and processing. Thanks to the unique properties of photons as information elements, it becomes possible to monitor and analyze the state of information flows in communication or information transmission channels. Physical attributes such as spin, polarization, radiation frequency, phase synchronization, and the quantum entanglement effect can be tracked and interpreted online to improve the quality and reliability of information in computer systems. In order to effectively use information

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35

Agarwal, Manish, Dongning Guo, and Michael L. Honig. "Limited-Rate Channel State Feedback for Multicarrier Block Fading Channels." IEEE Transactions on Information Theory 56, no. 12 (2010): 6116–32. http://dx.doi.org/10.1109/tit.2010.2080970.

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36

Tanggara, Andrew, Ranjith Nair, Syed Assad, et al. "Quantum-optimal information encoding using noisy passive linear optics." Quantum 8 (January 4, 2024): 1218. http://dx.doi.org/10.22331/q-2024-01-04-1218.

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The amount of information that a noisy channel can transmit has been one of the primary subjects of interest in information theory. In this work we consider a practically-motivated family of optical quantum channels that can be implemented without an external energy source. We optimize the Holevo information over procedures that encode information in attenuations and phase-shifts applied by these channels on a resource state of finite energy. It is shown that for any given input state and environment temperature, the maximum Holevo information can be achieved by an encoding procedure that unif

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37

Draper, Stark C., Frank R. Kschischang, and Brendan Frey. "Rateless Coding for Arbitrary Channel Mixtures With Decoder Channel State Information." IEEE Transactions on Information Theory 55, no. 9 (2009): 4119–33. http://dx.doi.org/10.1109/tit.2009.2025577.

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38

Simoens, S., O. Munoz-Medina, J. Vidal, and A. del Coso. "On the Gaussian MIMO Relay Channel With Full Channel State Information." IEEE Transactions on Signal Processing 57, no. 9 (2009): 3588–99. http://dx.doi.org/10.1109/tsp.2009.2020744.

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39

Liu, An, Xinming Huang, Youjian Liu, Haige Xiang, and Wu Luo. "Capacity bounds of MIMO channels with asymmetric channel state information at transmitter." IEEE Communications Letters 13, no. 8 (2009): 564–66. http://dx.doi.org/10.1109/lcomm.2009.090991.

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40

Pastore, Adriano, Tobias Koch, and Javier Rodriguez Fonollosa. "A Rate-Splitting Approach to Fading Channels With Imperfect Channel-State Information." IEEE Transactions on Information Theory 60, no. 7 (2014): 4266–85. http://dx.doi.org/10.1109/tit.2014.2321567.

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41

Longoria-Gandara, O., and R. Parra-Michel. "Estimation of Correlated MIMO Channels using Partial Channel State Information and DPSS." IEEE Transactions on Wireless Communications 10, no. 11 (2011): 3711–19. http://dx.doi.org/10.1109/twc.2011.091411.101199.

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42

Ravindran, Niranjay, and Nihar Jindal. "Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels." IEEE Transactions on Wireless Communications 11, no. 9 (2012): 3037–46. http://dx.doi.org/10.1109/twc.2012.071612.101350.

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43

Yuheng Huang and J. A. Ritcey. "16-qam bicm-id in fading channels with imperfect channel state information." IEEE Transactions on Wireless Communications 2, no. 5 (2003): 1000–1007. http://dx.doi.org/10.1109/twc.2003.817432.

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44

Lavanis, Nandita, Devendra Jalihal, Arun Pachai Kannu, and Srikrishna Bhashyam. "Finite-SNR outage analysis for MIMO channels with imperfect channel state information." Physical Communication 22 (March 2017): 58–64. http://dx.doi.org/10.1016/j.phycom.2016.12.005.

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45

Salehkalaibar, Sadaf, Mohammad Hossein Yassaee, Vincent Y. F. Tan, and Mehrasa Ahmadipour. "State Masking Over a Two-State Compound Channel." IEEE Transactions on Information Theory 67, no. 9 (2021): 5651–73. http://dx.doi.org/10.1109/tit.2021.3096646.

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46

Fadel Shady, Mohamed, and Aria Nosratinia. "MISO Broadcast Channel under Unequal Link Coherence Times and Channel State Information." Entropy 22, no. 9 (2020): 976. http://dx.doi.org/10.3390/e22090976.

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The broadcast channel may experience unequal link coherence times due to a number of factors including variation in node mobility or local scattering conditions. This means the block fading model for different links may have nonidentical block length, and the channel state information for the links may also not be identical. The faster the fading and the shorter the fading block length, the more often the link needs to be trained and estimated at the receiver, and the more likely that channel state information (CSI) is stale or unavailable at the transmitter. This paper investigates a MISO bro

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47

Wang, Zhengjie, Wenwen Dou, Mingjing Ma, et al. "A Survey of User Authentication Based on Channel State Information." Wireless Communications and Mobile Computing 2021 (July 15, 2021): 1–16. http://dx.doi.org/10.1155/2021/6636665.

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Recently, human behavior sensing based on WiFi channel state information has drawn more attention in the ubiquitous computing field because it can provide accurate information about the target under a device-free scheme. This paper concentrates on user authentication applications using channel state information. We investigate state-of-the-art studies and survey their characteristics. First, we introduce the concept of channel state information and outline the fundamental principle of user authentication. These systems measure the dynamic channel state information profile and implement user au

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48

Gopichand, Muvvala, Sampath Kumar, and A. Mahesh Babu. "Massive MIMO Receiver Design with Channel State Information." Journal of Physics: Conference Series 2571, no. 1 (2023): 012035. http://dx.doi.org/10.1088/1742-6596/2571/1/012035.

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Abstract In order to achieve an astounding data transfer rate, 5G Technology’s is essential obligation, this is the primal reason while the world considers it as an pivotal active research topic, Amongst numerous techniques available to attain the transfer rate, opted Massive Multiple-Input Multiple-Output (MIMO) system receivers with respect to CSI assuming the mathematic computations and complex equations would be deduced in a primordial passion, is examined in this study. For the uplink, we show the possible transfer rate for both receivers with perfect and imperfect channel state informati

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49

Tsibonis, V., L. Georgiadis, and L. Tassiulas. "Exploiting Wireless Channel State Information for Throughput Maximization." IEEE Transactions on Information Theory 50, no. 11 (2004): 2566–82. http://dx.doi.org/10.1109/tit.2004.836687.

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50

Adireddy, S., and L. Tong. "Exploiting Decentralized Channel State Information for Random Access." IEEE Transactions on Information Theory 51, no. 2 (2005): 537–61. http://dx.doi.org/10.1109/tit.2004.840878.

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