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Academic literature on the topic 'Channel state information'

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Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Channel state information"

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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 (February 28, 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. The questionnaire comprises respondents’ demographic profiles and 13 items on channels preferred for seeking cultural heritage information. Analysis present that the most prevalent strategy for accessing cultural heritage knowledge was determined to be “elderly people in the community” with a mean score of 3.85. Furthermore, factor analysis identifies two types of channels: informal and formal. And current residency (p-value=0.044) and family annual income (p-value=0.043) influence channel choice for accessing information, with those living in Manipur state preferring official channels and those earning INR 9,00,001 annually or more preferring informal channels.
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Tulay, Halit Bugra, and Can Emre Koksal. "Road State Inference via Channel State Information." IEEE Transactions on Vehicular Technology 72, no. 7 (July 2023): 8329–41. http://dx.doi.org/10.1109/tvt.2023.3244085.

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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 "On the Capacity of MIMO Channels with Outdated Channel State Information."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 Rayleigh fading channels and Jake’s model, the instantaneous mutual information and ergodic capacity is derived for MIMO channels with outdated CSIT. The information outage probability of MIMO channel with outdated CSIT is also presented.
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Dai, Bin, A. Vinck, Yuan Luo, and Xiaohu Tang. "Wiretap Channel with Action-Dependent Channel State Information." Entropy 15, no. 2 (January 28, 2013): 445–73. http://dx.doi.org/10.3390/e15020445.

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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 which the coded CSI serves as the CSI for the channel encoder, based onGel’fand and Pinsker’s codingandWyner’s random coding. Furthermore, an example of Gaussian wiretap channel with rate-limited CSI is presented, of which a lower bound on the secrecy capacity is obtained. By simulation, we find there exists an optimal rate of the coded CSI at which the biggest secrecy transmission rate of the Gaussian case is achieved.
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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 (April 2005): 1486–95. http://dx.doi.org/10.1109/tit.2005.844108.

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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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Tan, Bo, Qingchao Chen, Kevin Chetty, Karl Woodbridge, Wenda Li, and Robert Piechocki. "Exploiting WiFi Channel State Information for Residential Healthcare Informatics." IEEE Communications Magazine 56, no. 5 (May 2018): 130–37. http://dx.doi.org/10.1109/mcom.2018.1700064.

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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 (July 2019): 3453–68. http://dx.doi.org/10.1109/twc.2019.2914194.

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

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Dissertations / Theses on the topic "Channel state information"

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Abdelaziz, Amr Mohamed. "Information Theoretical Studies on MIMO Channel with Limited Channel State Information." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500592938716914.

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Pastore, Adriano. "Communication rates for fading channels with imperfect channel-state information." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/279247.

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The present thesis studies information rates for reliable transmission of information over fading channels in the realistic situation where the receiver has only imperfect channel-state knowledge. Of particular interest are analytical expressions of achievable transmission rates under imperfect and no CSI, that is, lower bounds on the mutual information and on the Shannon capacity. A well-known mutual information lower bound for Gaussian codebooks is obtained when conflating the additive (thermal) noise with the multiplicative noise due to the imperfections of the CSIR into a single effective noise term, and then assuming that this term is independent Gaussian. This so-called worst-case-noise approach allows to derive a strikingly simple and well-known lower bound on the mutual information of the channel. A first part of this thesis proposes a simple way to improve this worst-case-noise bound by means of a rate-splitting approach: by expressing the Gaussian input as a sum of several independent Gaussian inputs, and by assuming that the receiver performs successive decoding of the corresponding information streams, we show how to derive a larger mutual information lower bound. On channels with a single transmit antenna, the optimal allocation of transmit power across the different inputs is found to be approached as the number of inputs (so-called layers) tends to infinity, and the power assigned to each layer tends to zero. This infinite-layering limit gives rise to a mutual information bound expressible as an integral. On channels with multiple transmit antennas, an analogous result is derived. However, since multiple transmit antennas open up more possibilities for spatial multiplexing, the rate-splitting approach gives rise to a whole family of infinite-layering bounds. This family of bounds is closely studied for independent and identically zero-mean Gaussian distributed fading coefficients (so-called i.i.d. Rayleigh fading). Most notably, it is shown that for asymptotically perfect CSIR, any bound from the family is asymptotically tight at high signal-to-noise ratios (SNR). Specifically, this means that the difference between the mutual information and its lower bound tends to zero as the SNR tends to infinity, provided that the CSIR tends to be exact as the SNR tends to infinity. A second part of this thesis proposes a framework for the optimization of a class of utility functions in black-Rayleigh fading multiple-antenna channels with transmit-side antenna correlation, and no CSI at the receiver. A fraction of each fading block is reserved for transmitting a sequence of training symbols, while the remaining time instants are used for transmission of data. The receiver estimates the channel matrix based on the noisy training observation and then decodes the data signal using this channel estimate. For utilities that are symmetric functions of the eigenvalues of the matrix-valued effective SNR (such as, e.g., the worst-case-noise bound), the problems consisting in optimizing the pilot sequence and the linear precoder are cast into convex (or quasi-convex) problems for concave (or quasi-concave) utility functions. We also study an important subproblem of the joint optimization, which consists in computing jointly Pareto-optimal pilot sequences and precoders. By wrapping these optimization procedures into a cyclic iteration, we obtain an algorithm which converges to a local joint optimum for any utility.
Aquesta tesi estudia les taxes d'informació per la transmissió fiable d'informació en canals amb esvaïments sota la hipòtesi realista de que el receptor té un coneixement tan sols imperfecte de l'esvaïment aleatori. De particular interès són les expressions analítiques de les taxes de transmissió assolibles amb coneixement imperfecte i sense coneixement de l'estat del canal, és a dir, cotes inferiors de la informació mútua i de la capacitat de Shannon. Una cota inferior de la informació mútua per a codis gaussians ben coneguda s'obté combinant el soroll additiu (tèrmic) amb el terme de soroll multiplicatiu causat per les imperfeccions del coneixement de l'estat del canal en un únic soroll efectiu, i assumint que el soroll és gaussià i independent. Aquesta aproximació del pitjor soroll permet obtenir una expressió molt simple i ben coneguda de la informació mútua del canal. Una primera part d'aquesta tesi proposa un procediment senzill per a millorar aquesta cota associada al pitjor cas mitjançant una estratègia de repartiment de taxa: expressant l'entrada gaussiana del canal com a la suma de diverses entrades gaussianes independents i suposant que el receptor realitza una descodificació seqüencial dels fluxos d'informació, es mostra com obtenir una major cota inferior de la informació mútua del canal. En canals amb una única antena en transmissió, la distribució òptima de potència als diferents fluxos s'obté quan el seu nombre (capes) tendeix a infinit, i la potència associada a cada capa tendeix a zero. El límit associat a un nombre infinit de capes dóna lloc a una expressió integral de la cota de la informació mútua. En canals amb múltiples antenes s'obté un resultat similar. No obstant això, atès que la utilització de múltiples antenes proporciona més possibilitats de multiplexat espacial, el procediment dóna lloc a tota una família de cotes inferiors de la informació mútua associades a una combinació de capes infinita. S'estudia en detall aquesta família de cotes per al cas de coeficients d'esvaïments gaussians de mitjana zero, independents i idènticament distribuïts (conegut com esvaïment i.i.d. Rayleigh). S'obtenen diverses propietats de la família de cotes. És important destacar que per a coneixement asimptòtic perfecte del canal en recepció, qualsevol membre de la família de cotes és asimptòticament ajustat per alta relació senyal a soroll (SNR). En concret, la diferència entre la informació mútua i la seva cota inferior tendeix a zero quan la SNR tendeix a infinit sempre que el coneixement del canal tendeixi a ser exacte a mesura que la SNR tendeix a infinit. Una segona part d'aquesta tesi proposa un marc per a l'optimització d'una classe de funcions d'utilitat en canals amb múltiples antenes i esvaïments Rayleigh per blocs amb correlació en transmissió i sense informació sobre el canal a recepció. Una fracció temporal de cada bloc d'esvaïment es reserva per transmetre una seqüència de símbols d'entrenament mentre que la resta de mostres temporals s'utilitzen per transmetre informació. El receptor estima la matriu del canal partint de la seva observació sorollosa i descodifica la informació mitjançant la seva estimació del canal. Per a una classe de funcions d'utilitat que són funcions simètriques dels autovalors de la SNR matricial efectiva, els problemes consistents en optimitzar la seqüència pilot i el precodificador lineal són transformats en problemes convexos (o quasi-convexos) per a funcions d'utilitat còncaves (o quasi-còncaves). També s'estudia un subproblema important de l'optimització conjunta, que consisteix en el càlcul de les seqüències d'entrenament i dels precodificadors conjuntament Pareto-òptims. Integrant aquests procediments d'optimització en una iteració cíclica, s'obté un algoritme que convergeix a un òptim local conjunt per a qualsevol utilitat quasi-còncava
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Yang, Jingnong. "Channel State Information in Multiple Antenna Systems." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14120.

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In a MIMO system, a transmitter with perfect knowledge of the underlying channel state information (CSI) can achieve a higher channel capacity compared to transmission without CSI. When reciprocity of the wireless channel does not hold, the identification and utilization of partial CSI at the transmitter are important issues. This thesis is focused on partial CSI acquisition and utilization techniques for MIMO channels. We propose a feedback algorithm for tracking the dominant channel subspaces for MIMO systems in a continuously time-varying environment. We exploit the correlation between channel states of adjacent time instants and quantize the variation of channel states. Specifically, we model a subspace as one point in a Grassmann manifold, treat the variations in principal right singular subspaces of the channel matrices as a piecewise-geodesic process in the Grassmann manifold, and quantize the velocity matrix of the geodesic. We design a complexity-constrained MIMO OFDM system where the transmitter has knowledge of channel correlations. The transmitter is constrained to perform at most one inverse Discrete Fourier Transform per OFDM symbol on the average. We show that in the MISO case, time domain beamforming can be used to do two-dimensional eigen-beamforming. For the MIMO case, we derive design criteria for the transmitter beamforming and receiver combining weighting vectors and show some suboptimal solutions. The feedback channel may have uncertainties such as unexpected delay or error. We consider channel mean feedback with an unknown delay and propose a broadcast approach that is able to adapt to the quality of the feedback. Having considered CSI feedback problems where the receiver tries to convey its attained CSI to the transmitter, we turn to noncoherent coding design for fast fading channels, where the receiver does not have reliable CSI. We propose a data-dependent superimposed training scheme to improve the performance of training based codes. The transmitter is equipped with multiple training sequences and dynamically selects a training sequence for each data sequence to minimize channel estimation error. The set of training sequences are optimized to minimize pairwise error probability between codewords.
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Chen, Luan. "Enhancing indoor location fingerprinting using channel state information." Electronic Thesis or Diss., Paris, CNAM, 2020. http://www.theses.fr/2020CNAM1281.

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Grâce au développement rapide des communications sans fil, la localisation par empreinte digitale (LF) a favorisé des services géodépendants considérables dans le domaine de l’Internet des objets. Dans cette thèse, nous avons d’abord proposé le système EntLoc, qui adopte l’entropie de modélisation autorégressive (AR) de l’amplitude des informations d’état de canal (CSI) comme empreinte digitale de localisation. Il partage la simplicité structurelle de la force du signal reçu (RSS) tout en réservant les informations de canal statistique les plus spécifiques à l’emplacement. De plus, un système AngLoc amélioré est égalementconçu, dont l’empreinte digitale d’angle d’arrivée (AoA) supplémentaire peut être récupérée avec précision de la phase CSI grâce à un algorithme amélioré basé sur le sous-espace, qui sert à éliminer davantage les candidats au point de référence(RP) sujets aux erreurs. Dans la phase LF en ligne, en exploitant à la fois les informations d’amplitude et de phase CSI, un nouveau schéma de régression par noyau bivarié est proposé pour déduire précisément l’emplacement de la cible. Lesrésultats d’expériences approfondies en intérieur valident la performance de localisation supérieure de notre système proposé par rapport aux approches précédentes
With expeditious development of wireless communications, Location Fingerprinting (LF) has nurtured considerable indoor location based services in the field of Internet of Things. In this thesis, we first proposed EntLoc system, which adopts Autoregressive (AR) modeling entropy of the Channel State Information (CSI) amplitude as location fingerprint. It shares the structural simplicity of the Received Signal Strength (RSS) while reserving the most location-specific statistical channel information. Moreover, an upgraded AngLoc system is further designed, whose additional angle of arrival (AoA) fingerprint can be accurately retrieved from CSI phase through an enhanced subspace based algorithm, which serves to further eliminate the error-prone Reference Point (RP) candidates. In the LF online phase, by exploiting both CSI amplitude and phase information, a novel bivariate kernel regression scheme is proposed to precisely infer the target’s location. Results from extensive indoor experiments validate the superior localization performance of our proposed system over previous approaches
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Huang, Jinliang. "Adaptive MIMO Systems with Channel State Information at Transmitter." Doctoral thesis, KTH, Kommunikationssystem, CoS, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9777.

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This dissertation presents adaptation techniques that can achieve high spectral efficiency for single user multiple-input multiple-output (MIMO) systems. Two types of adaptation techniques, adaptive modulation and adaptive powe allocation, are employed to adapt the rate and the transmit power to fading channels. We start by investigating the adaptive modulation subject to a certain bit-error-ratio (BER) constraint, either instantaneous BER constraint or average BER constraint. The resulting average spectral efficiencies are obtained in closed-form expressions. It turns out that, by employing the average BER constraint, we can achieve the optimal average spectra efficiency at the cost of prohibitive computational complexity. On the other hand, instantaneous BER constraint leads to inferior performance with little computational complexity. In order to achieve comparable performance to the average BER constraint with limited complexity, a non-linear optimization method is proposed. To further enhance the average spectra efficiency, adaptive power allocation schemes are considered to adjust the transmit power across the temporal domain or the spatial domain, depending on the specific situation. Provided the closed-form expressions of the average spectral efficiency, the optimal MIMO coding scheme that offers the highest average spectral efficiency under the same circumstances can be identified. As we take into account the effect of imperfect channel estimation, the adaptation techniques are revised to tolerate interference introduced by the channel estimation errors. As a result, the degradation with respect to the average spectral efficiency is in proportion to signal-to-noise ratio (SNR). In order to facilitate fast development and verification of the adaptation schemes proposed for various MIMO systems, a reconfigurable Link Layer Simulator (LiLaS) which accommodates a variety of wireless/wireline applications is designed in the environment of MATLAB/OCTAVE. The idea of the simulator is originated from Software Defined Radio (SDR) and evolved to suit Cognitive Radio (CR) applications. For the convenience of modification and reconfiguration, LiLaS is functionally divided into generic blocks and all blocks are parameterized.
QC 20100812
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Ma, Yongsen. "Improving Wifi Sensing And Networking With Channel State Information." W&M ScholarWorks, 2019. https://scholarworks.wm.edu/etd/1593091976.

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In recent years, WiFi has a very rapid growth due to its high throughput, high efficiency, and low costs. Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency-Division Multiplexing (OFDM) are two key technologies for providing high throughput and efficiency for WiFi systems. MIMO-OFDM provides Channel State Information (CSI) which represents the amplitude attenuation and phase shift of each transmit-receiver antenna pair of each carrier frequency. CSI helps WiFi achieve high throughput to meet the growing demands of wireless data traffic. CSI captures how wireless signals travel through the surrounding environment, so it can also be used for wireless sensing purposes. This dissertation presents how to improve WiFi sensing and networking with CSI. More specifically, this dissertation proposes deep learning models to improve the performance and capability of WiFi sensing and presents network protocols to reduce CSI feedback overhead for high efficiency WiFi networking. For WiFi sensing, there are many wireless sensing applications using CSI as the input in recent years. To get a better understanding of existing WiFi sensing technologies and future WiFi sensing trends, this dissertation presents a survey of signal processing techniques, algorithms, applications, performance results, challenges, and future trends of CSI-based WiFi sensing. CSI is widely used for gesture recognition and sign language recognition. Existing methods for WiFi-based sign language recognition have low accuracy and high costs when there are more than 200 sign gestures. The dissertation presents SignFi for sign language recognition using CSI and Convolutional Neural Networks (CNNs). SignFi provides high accuracy and low costs for run-time testing for 276 sign gestures in the lab and home environments. For WiFi networking, although CSI provides high throughput for WiFi networks, it also introduces high overhead. WiFi transmitters need CSI feedback for transmit beamforming and rate adaptation. The size of CSI packets is very large and it grows very fast with respect to the number of antennas and channel width. CSI feedback introduces high overhead which reduces the performance and efficiency of WiFi systems, especially mobile and hand-held WiFi devices. This dissertation presents RoFi to reduce CSI feedback overhead based on the mobility status of WiFi receivers. CSI feedback compression reduces overhead, but WiFi receivers still need to send CSI feedback to the WiFi transmitter. The dissertation presents EliMO for eliminating CSI feedback without sacrificing beamforming gains.
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Huang, Jin Liang. "Adaptive MIMO systems with channel state information at transmitter /." Stockholm : KTH Information and Communication Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9777.

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Mi, De. "Massive MIMO with imperfect channel state information and practical limitations." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/841236/.

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Multi-user (MU) massive multiple-input-multiple-output (MIMO) is one of the promising technologies for the 5th Generation of wireless communication systems. However, as an emerging technology, various technical challenges that hinder practical use of massive MIMO need to be addressed, e.g., imperfections on channel estimation and channel reciprocity. The overall objective of the proposed research is to investigate some of the key practical challenges of implementation of the massive MIMO system and propose effective solutions for those problems. First, in order to realise promised benefits of massive MIMO, there is a need for a highly accurate technique for provisioning of channel state information (CSI). However, the acquisition of CSI can be considerably influenced by imperfect channel estimation in practice. We therefore analyse the impact of channel estimation error on the performance of massive MIMO uplinks with the considerations of the channel correlation over space. We then propose a novel antenna selection scheme by exploiting the sparsity of the channel gain matrix at the received end, which significantly reduces implementation overhead and complexity compared to the well-adopted scheme, without degrading the system performance. Second, it is known that channel reciprocity in time-division duplexing (TDD) massive MIMO systems can be exploited to reduce the overhead required for the acquisition of CSI. However, perfect reciprocity is unrealistic in practical systems due to random radio-frequency (RF) circuit mismatches in uplink and downlink channels. We model and analyse the impact of the RF mismatches by taking into account the channel estimation error. We derive closed-form expressions of the output signal-to-interference-plus- noise ratio for typical linear precoding schemes, and further investigate the asymptotic performance of the considered precoding schemes to provide insights into the practical system designs, including guidelines for the selection of the effective precoding schemes. Third, our theoretical model for analysing the effect of channel reciprocity error on massive MIMO systems reveals that the imperfections in channel reciprocity might become a performance limiting factor. In order to compensate for these imperfections, we present and investigate two calibration schemes for TDD-based MU massive MIMO systems, namely, relative calibration and inverse calibration. In particular, the design of the proposed inverse calibration takes into account a compound effect of channel reciprocity error and channel estimation error. To compare two calibration schemes, we derive closed-form expressions for the ergodic sum-rate and the receive mean-square error for downlinks. We demonstrate that the proposed inverse calibration outperforms the relative calibration, thanks to its greater robustness to the compound effect of both errors.
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Jetlund, Ola. "Adaptive coded modulation : design and simulation with realistic channel state information." Doctoral thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-818.

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Spectrally efficient transmission schemes are becoming a more common requirement for digital communication systems. Especially in wireless communication since the bandwidth of available frequencies is a shared resource. In addition, wireless communication systems suffer from transmission media with varying conditions. Adaptive coded modulation (ACM) has been suggested as a bandwidth-efficient transmission technique in wireless fading environments. The use of ACM is motivated by its ability to improve spectral efficiency (SE) by adapting the transmission rates to the variations in channel signal-to-noise ratio. Any ACM scheme rely on being able to predict future states of the transmission medium. Under idealized conditions, such as the prediction being perfect, an ACM scheme can be configured to maximize the SE under the condition of the bit error rate (BER) being below a specified target BER. Here, computer simulations of an example system show that such systems in some cases fail to achieve the target BER, since the idealized conditions used in the design process do not hold in a realistic setup.

By limiting the number of transmission modes, introducing imperfect prediction, and other practical conditions such as delay in the communication system and probability of outage, a more practical ACM scheme can be considered. We show that it is still possible to optimize the performance of such schemes. A wireless communication channel with a Rayleigh fading envelope is assumed here since most results then can be presented in closed form expressions. For other distributions of the fading, results can be found numerically. By optimizing the performance of an idealized ACM scheme using capacity achieving channel codes, we have been able to upper bound the SE of practical ACM schemes. The results also provide us with a technique to control the average BER in the case of imperfect knowledge of future channel states. Simulation results for a modified ACM scheme that uses this technique is shown to have an average BER that is less than the target BER

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Huang, Wei. "Linear transceiver design in MIMO system with imperfect channel state information /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECE%202007%20HUANG.

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Books on the topic "Channel state information"

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Xiaoling, Zhang, and Zheng Yongnian, eds. China's information and communications technology revolution: Social changes and state responses. Abingdon, Oxon [England]: Routledge, 2009.

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United States Advisory Commission on Public Diplomacy. Public diplomacy in a changed world. Washington, D.C: U.S. Advisory Commission on Public Diplomacy, 1993.

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C, Croson David, ed. Creative destruction: A six-stage process for transforming the organization. Boston, Mass: Harvard Business School Press, 1995.

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United States Advisory Commission on Public Diplomacy. Public diplomacy in a changed world. Washington, D.C: U.S. Advisory Commission on Public Diplomacy, 1993.

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Jack, Elzinga D., Gulledge Thomas R. 1947-, and Lee Chung-Yee, eds. Business process engineering: Advancing the state of the art. Norwell, Mass: Kluwer Academic Publishers, 1999.

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Library and Information Services Policy Forum (1995 Washington, D.C.). Proceedings of the Library and Information Services Policy Forum: Changes in library and information services, 1996-2001 : May 15-16, 1995, Washington, D.C. Washington, DC: The Commission, 1995.

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Library and Information Services Policy Forum (1995 Washington, D.C.). Proceedings of the Library and Information Services Policy Forum: Changes in library and information services, 1996-2001 : May 15-16, 1995, Washington, D.C. Washington, DC: The Commission, 1995.

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Library and Information Services Policy Forum (1995 Washington, D.C.). Proceedings of the Library and Information Services Policy Forum: Changes in library and information services, 1996-2001 : May 15-16, 1995, Washington, D.C. Washington, DC: The Commission, 1995.

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National Center for Education Statistics., United States. Office of Educational Research and Improvement. Library Programs., National Institute on Postsecondary Education, Libraries, and Lifelong Learning., and United States. National Commission on Libraries and Information Science., eds. Proceedings of the Library and Information Services Policy Forum: Changes in library and information services, 1996-2001 : May 15-16, 1995, Washington, D.C. Washington, DC (1110 Vermont Ave., NW, Suite 820, Washington, DC 20005-3522): U.S. National Commission on Libraries and Information Science, 1995.

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B, Allen Thomas. Declassified: 50 top-secret documents that changed history. Washington, D.C: National Geographic, 2008.

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Book chapters on the topic "Channel state information"

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Yang, Zheng, Kun Qian, Chenshu Wu, and Yi Zhang. "Understanding of Channel State Information." In Smart Wireless Sensing, 11–21. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5658-3_2.

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Shen, Qingni, Mian Wan, Zhuangzhuang Zhang, Zhi Zhang, Sihan Qing, and Zhonghai Wu. "A Covert Channel Using Event Channel State on Xen Hypervisor." In Information and Communications Security, 125–34. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02726-5_10.

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Marina, Ninoslav. "Rayleigh Fading Multiple Access Channel Without Channel State Information." In Telecommunications and Networking - ICT 2004, 128–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27824-5_19.

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Chen, Xiaoming. "Massive Access with Full Channel State Information." In Massive Access for Cellular Internet of Things Theory and Technique, 15–37. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6597-3_2.

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Zhou, Shengli, and Georgios B. Giannakis. "MIMO Communications with Partial Channel State Information." In Space-Time Processing for MIMO Communications, 319–55. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470010045.ch9.

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Zhang, Chao, Vineeth Varma, and Samson Lasaulce. "Robust Power Modulation for Channel State Information Exchange." In Network Games, Control, and Optimization, 223–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51034-7_21.

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Ding, Xiaowei, Litai Ren, Zizhou Sang, Zijie Zhang, Yifan Du, and Peter Yan. "Routing Optimization for High Speed Photon State-Channel Architecture." In Communications in Computer and Information Science, 231–41. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3278-8_16.

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Yang, Xiaolong, Xin Yu, Liangbo Xie, Mu Zhou, and Qing Jiang. "Sleep Apnea Monitoring System Based on Channel State Information." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 38–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77569-8_3.

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Yang, Zhuoshi, Yanxiang Wang, Lejun Zhang, and Yiran Shen. "Indoor Interference Classification Based on WiFi Channel State Information." In Security, Privacy, and Anonymity in Computation, Communication, and Storage, 136–45. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05345-1_11.

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Liu, Yuan, and Kuixi Chen. "Compressed Sensing for Channel State Information (CSI) Feedback in MIMO Broadcast Channels." In Proceedings of the 4th International Conference on Computer Engineering and Networks, 155–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11104-9_18.

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Conference papers on the topic "Channel state information"

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Wang, Dajin, and Liangyan Gui. "Relay Channel with Causal Channel State Information." In 2014 IEEE 80th Vehicular Technology Conference (VTC Fall). IEEE, 2014. http://dx.doi.org/10.1109/vtcfall.2014.6966152.

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Lembo, S., C. H. Yu, and O. Tirkkonen. "Block fading channels with limited channel state information." In Its Applications (Isita2010). IEEE, 2010. http://dx.doi.org/10.1109/isita.2010.5649612.

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Hwang, Chan-Soo, Moshe Malkin, Abbas El Gamal, and John M. Cioffi. "Multiple-Access Channels with Distributed Channel State Information." In 2007 IEEE International Symposium on Information Theory. IEEE, 2007. http://dx.doi.org/10.1109/isit.2007.4557444.

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Liu, Wei, and Biao Chen. "Wiretap Channel With Two-Sided Channel State Information." In 2007 41st Asilomar conference on Signals, Systems and Computers (ACSSC). IEEE, 2007. http://dx.doi.org/10.1109/acssc.2007.4487347.

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Khosravi-Farsani, Reza, Bahareh Akhbari, Mahtab Mirmohseni, and Mohammad Reza Aref. "Cooperative relay-broadcast channels with causal Channel State Information." In 2009 IEEE International Symposium on Information Theory - ISIT. IEEE, 2009. http://dx.doi.org/10.1109/isit.2009.5206001.

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Hu, Yichuan, and Alejandro Ribeiro. "Optimal wireless multiuser channels with imperfect channel state information." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6288551.

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Feng, Songtao, and Jing Yang. "AoI Minimization in Broadcast Channels with Channel State Information." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174407.

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Pereg, Uzi, Christian Deppe, and Holger Boche. "Quantum Channel State Masking." In 2020 IEEE Information Theory Workshop (ITW). IEEE, 2021. http://dx.doi.org/10.1109/itw46852.2021.9457622.

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Kazemi, Mohammad, Mahtab Mirmohseni, and Mohammad Reza Aref. "Cooperative relay cognitive interference channels with causal channel state information." In 2010 IEEE International Conference on Information Theory and Information Security (ICITIS). IEEE, 2010. http://dx.doi.org/10.1109/icitis.2010.5689736.

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Gogineni, Sandeep, Muralidhar Rangaswamy, Joseph R. Guerci, Jamie S. Bergin, and David R. Kirk. "Estimation of Radar Channel State Information." In 2019 IEEE Radar Conference (RadarConf19). IEEE, 2019. http://dx.doi.org/10.1109/radar.2019.8835503.

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Reports on the topic "Channel state information"

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List, Nancy, and Ryan Shoup. Incorporation of Uplink Channel State Information into an End-to-End Coded Satellite Communication System. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada569700.

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Gallegos, José-Elías. Inflation persistence, noisy information and the Phillips curve. Madrid: Banco de España, February 2023. http://dx.doi.org/10.53479/29569.

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A vast literature has documented how US inflation persistence has fallen in recent decades, but this finding is difficult to explain in monetary models. Using survey data on inflation expectations, I document a positive co-movement between ex-ante average forecast errors and forecast revisions (suggesting forecast sluggishness) from 1968 to 1984, but no co-movement thereafter. I extend the New Keynesian setting to include noisy and dispersed information about the aggregate state, and show that inflation is more persistent in periods of greater forecast sluggishness. My results suggest that changes in firm forecasting behavior explain around 90% of the fall in inflation persistence since the mid-1980s. I also find that the changes in the dynamics of the Phillips curve can be explained by the change in information frictions. After controlling for changes in information frictions, I estimate only a modest decline in the slope. I find that a more significant factor in the dynamics of the Phillips curve is the shift towards greater forward-lookingness and less backward-lookingness. Finally, I find evidence of forecast underrevision in the post-COVID period, which explains the increase in the persistence of current inflation.
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Cooper, Christopher, Jacob McDonald, and Eric Starkey. Wadeable stream habitat monitoring at Congaree National Park: 2018 baseline report. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2286621.

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The Southeast Coast Network (SECN) Wadeable Stream Habitat Monitoring Protocol collects data to give park resource managers insight into the status of and trends in stream and near-channel habitat conditions (McDonald et al. 2018a). Wadeable stream monitoring is currently implemented at the five SECN inland parks with wadeable streams. These parks include Horseshoe Bend National Military Park (HOBE), Kennesaw Mountain National Battlefield Park (KEMO), Ocmulgee Mounds National Historical Park (OCMU), Chattahoochee River National Recreation Area (CHAT), and Congaree National Park (CONG). Streams at Congaree National Park chosen for monitoring were specifically targeted for management interest (e.g., upstream development and land use change, visitor use of streams as canoe trails, and potential social walking trail erosion) or to provide a context for similar-sized stream(s) within the park or network (McDonald and Starkey 2018a). The objectives of the SECN wadeable stream habitat monitoring protocol are to: Determine status of upstream watershed characteristics (basin morphology) and trends in land cover that may affect stream habitat, Determine the status of and trends in benthic and near-channel habitat in selected wadeable stream reaches (e.g., bed sediment, geomorphic channel units, and large woody debris), Determine the status of and trends in cross-sectional morphology, longitudinal gradient, and sinuosity of selected wadeable stream reaches. Between June 11 and 14, 2018, data were collected at Congaree National Park to characterize the in-stream and near-channel habitat within stream reaches on Cedar Creek (CONG001, CONG002, and CONG003) and McKenzie Creek (CONG004). These data, along with the analysis of remotely sensed geographic information system (GIS) data, are presented in this report to describe and compare the watershed-, reach-, and transect-scale characteristics of these four stream reaches to each other and to selected similar-sized stream reaches at Ocmulgee Mounds National Historical Park, Kennesaw Mountain National Battlefield Park, and Chattahoochee National Recreation Area. Surveyed stream reaches at Congaree NP were compared to those previously surveyed in other parks in order to provide regional context and aid in interpretation of results. edar Creek’s watershed (CONG001, CONG002, and CONG003) drains nearly 200 square kilometers (77.22 square miles [mi2]) of the Congaree River Valley Terrace complex and upper Coastal Plain to the north of the park (Shelley 2007a, 2007b). Cedar Creek’s watershed has low slope and is covered mainly by forests and grasslands. Cedar Creek is designated an “Outstanding Resource Water” by the state of South Carolina (S.C. Code Regs. 61–68 [2014] and S.C. Code Regs. 61–69 [2012]) from the boundary of the park downstream to Wise Lake. Cedar Creek ‘upstream’ (CONG001) is located just downstream (south) of the park’s Bannister Bridge canoe landing, which is located off Old Bluff Road and south of the confluence with Meyers Creek. Cedar Creek ‘middle’ and Cedar Creek ‘downstream’ (CONG002 and CONG003, respectively) are located downstream of Cedar Creek ‘upstream’ where Cedar Creek flows into the relatively flat backswamp of the Congaree River flood plain. Based on the geomorphic and land cover characteristics of the watershed, monitored reaches on Cedar Creek are likely to flood often and drain slowly. Flooding is more likely at Cedar Creek ‘middle’ and Cedar Creek ‘downstream’ than at Cedar Creek ‘upstream.’ This is due to the higher (relative to CONG001) connectivity between the channels of the lower reaches and their out-of-channel areas. Based on bed sediment characteristics, the heterogeneity of geomorphic channel units (GCUs) within each reach, and the abundance of large woody debris (LWD), in-stream habitat within each of the surveyed reaches on Cedar Creek (CONG001–003) was classified as ‘fair to good.’ Although, there is extensive evidence of animal activity...
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Gupta, Sejal. Monitoring of Real Estate Project Progress by RERA. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/mrepp06.2023.

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Prior to the Real Estate (Regulation and Development [R&D]) Act, 2016, the real estate sector faced accountability and discipline issues, especially regarding project cancellations, delays in project delivery and changes in project plans without informing allottees. The Act mandated developers to update regular information on the financial and structural progress of the project, and its provisions were supported by state rules. This policy brief reviews the efficacy of such publicly-available information regarding the progress of a real estate project in five select states. It then suggests recommendations on how this project progress information can be better managed and analysed.
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Anderson, Lowell A., Neal Black, Thomas J. Hagerty, John P. Kluge, and Paul L. Sundberg. Pseudorabies (Aujeszky’s Disease) and Its Eradication: A Review of the U.S. Experience. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, October 2008. http://dx.doi.org/10.32747/2008.7207242.aphis.

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This report has been written to serve as a history of the U.S. Aujeszky’s Disease (Pseudorabies) Eradication Program and as a guide when future disease eradication programs are considered. The report provides an overview of the program and its history and is generally nontechnical, with specific sections written by subject matter experts. The information was compiled during 2007, three years after the last four States qualified for Stage V (Free) Status. This eradication effort was formally initiated in 1989. The contents of this report include a variety of information that represents the viewpoints of individuals participating in the eradication effort. To introduce the challenge of pseudorabies (PRV), the report covers characteristics of the virus and the history of the disease in the United States, followed by the emergence of virulent strains in the 1970s that coincided with management changes in the swine industry. The report also discusses early attempts at PRV control, vaccines, and diagnostic tools, and then reviews various pilot projects, individual State experiences, and national debate on the pros and cons of eradication versus control. In addition, the report offers details on the evolution and acceptance of a national eradication program, including debate among industry and State/Federal officials, funding, testing protocols, cleanup plans, and the development of gene-deleted vaccines and their complementary tests. The ongoing threat of reintroduction from feral swine and emergency response plans are also included. Lastly, the technical coordinators have included a chapter on lessons learned from our various viewpoints on the eradication effort.
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Haring, Christopher, and Michael Dougherty. Geomorphic metrics used in FluvialGeomorph. Engineer Research and Development Center (U.S.), August 2023. http://dx.doi.org/10.21079/11681/47494.

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FluvialGeomorph (FG) is a geographic information system-based geomorphic analysis toolkit that analyzes high-resolution terrain data to provide river-reach assessments for watershed studies. This report demonstrates the utility of FG to identify physical stream channel characteristics that are used to determine channel stability. The FG toolbox is a remote-sensing approach based on lidar data, designed to measure channel, floodplain, valley, and watershed metrics necessary for watershed assessments. Currently, channel slope and cross-sectional analysis and planform metrics are being evaluated with existing lidar data from different hydrophysiographic regions within the United States. Recent study areas include the Northwest, Southwest, South, Midwest, and upper Midwest of the United States.
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Haigh, David, David Kenkel, and Kate Doswell. Change and Development in Glen Eden, 2017. Unitec ePress, November 2017. http://dx.doi.org/10.34074/rsrp.itp12017.

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This report is stage one of a report on change and development issues in Glen Eden. The Waitakere Ranges Local Board commissioned staff of the Social Practice Department of Unitec to carry out a two-stage report. This first stage is a literature search looking at material specific to Glen Eden as well as more theoretical information about development and growth. The second stage will be completed by December 2017 and reports on interviews carried out with key stakeholders in Glen Eden. This report makes a number of suggestions to the Waitakere Ranges Local Board relating to redevelopment of the Glen Eden town centre, and to design and urban policies concerning future intensification of Glen Eden with emphasis on strategies to deal with such matters as safety, cycleways and pedestrian amenity.
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Budzich, Jeffrey. PR-685-184506-R05 Fluvial Geomorphology Equations and Mechanics. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2020. http://dx.doi.org/10.55274/r0011666.

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Channel hydrology, hydraulics, and sediment composition are key variables to calculating vertical and horizontal channel movement. A variety of methods are available for estimating channel bed scour, bank erosion, and channel migration with fewer available to predict avulsion potential. These methods vary in complexity from simplified empirical and theoretical equations to complex multi-dimensional models that may be used to understand potential hydrotechnical threats to pipelines and other structures. Furthermore, there are a variety of publicly available resources of relevant information to enhance pipeline operators' development and implementation of an effective water crossing program. The public resources include the United States Geological Survey, the National Weather Service within the National Oceanic and Atmospheric Administration, Federal Emergency Management Administration, United States Department of Agriculture, Natural Resource Conservation Service, and the Government of Canada.
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Melillo, J. M., Terese (T C. ). Richmond, and G. W. Yohe, eds. Appendix 2: Information Quality Assurance Process. Climate Change Impacts in the United States: The Third National Climate Assessment. U.S. Global Change Research Program, 2014. http://dx.doi.org/10.7930/j0qj7f77.

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Groshong, Lisa, Paula Harms, Juan Zhang, Jeffrey Czajkowski, and Miranda Dahman. Assessment of and insights from NAIC climate risk disclosure data. Center for Insurance Policy and Research, October 2020. http://dx.doi.org/10.52227/22130.2020.

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In 2010, the NAIC membership adopted the Insurer Climate Risk Disclosure Survey as a way for state insurance regulators, insurance companies, investors, and consumers to identify trends, vulnerabilities, and best practices by collecting information about how companies assess and manage climate risk. The survey’s eight questions cover topics including climate risk governance, climate risk management, modeling and analytics, stakeholder engagement and greenhouse gas management. About 1,200 companies participated in 2018. In this analysis, we used statistical methods to examine two main questions: 1) How do insurers across key characteristics assess and manage risks related to climate change? and 2) How have these responses changed over the past 10 years?
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