Academic literature on the topic 'Channel state information'
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Journal articles on the topic "Channel state information"
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.
Full textTulay, 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.
Full textLi, 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 "On the Capacity of MIMO Channels with Outdated Channel State Information."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.
Full textDai, 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.
Full textYin, 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.
Full textSutivong, 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.
Full textNguyen, 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.
Full textTan, 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.
Full textTadayon, 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.
Full textZhan, 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.
Full textDissertations / Theses on the topic "Channel state information"
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.
Full textPastore, Adriano. "Communication rates for fading channels with imperfect channel-state information." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/279247.
Full textAquesta 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
Yang, Jingnong. "Channel State Information in Multiple Antenna Systems." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14120.
Full textChen, Luan. "Enhancing indoor location fingerprinting using channel state information." Electronic Thesis or Diss., Paris, CNAM, 2020. http://www.theses.fr/2020CNAM1281.
Full textWith 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
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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Ma, Yongsen. "Improving Wifi Sensing And Networking With Channel State Information." W&M ScholarWorks, 2019. https://scholarworks.wm.edu/etd/1593091976.
Full textHuang, 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.
Full textMi, De. "Massive MIMO with imperfect channel state information and practical limitations." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/841236/.
Full textJetlund, 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.
Full textSpectrally 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
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.
Full textBooks on the topic "Channel state information"
Xiaoling, Zhang, and Zheng Yongnian, eds. China's information and communications technology revolution: Social changes and state responses. Abingdon, Oxon [England]: Routledge, 2009.
Find full textUnited States Advisory Commission on Public Diplomacy. Public diplomacy in a changed world. Washington, D.C: U.S. Advisory Commission on Public Diplomacy, 1993.
Find full textC, Croson David, ed. Creative destruction: A six-stage process for transforming the organization. Boston, Mass: Harvard Business School Press, 1995.
Find full textUnited States Advisory Commission on Public Diplomacy. Public diplomacy in a changed world. Washington, D.C: U.S. Advisory Commission on Public Diplomacy, 1993.
Find full textJack, 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.
Find full textLibrary 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.
Find full textLibrary 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.
Find full textLibrary 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.
Find full textNational 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.
Find full textB, Allen Thomas. Declassified: 50 top-secret documents that changed history. Washington, D.C: National Geographic, 2008.
Find full textBook chapters on the topic "Channel state information"
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.
Full textShen, 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.
Full textMarina, 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.
Full textChen, 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.
Full textZhou, 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.
Full textZhang, 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.
Full textDing, 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.
Full textYang, 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.
Full textYang, 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.
Full textLiu, 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.
Full textConference papers on the topic "Channel state information"
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.
Full textLembo, 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.
Full textHwang, 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.
Full textLiu, 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.
Full textKhosravi-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.
Full textHu, 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.
Full textFeng, 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.
Full textPereg, 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.
Full textKazemi, 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.
Full textGogineni, 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.
Full textReports on the topic "Channel state information"
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.
Full textGallegos, José-Elías. Inflation persistence, noisy information and the Phillips curve. Madrid: Banco de España, February 2023. http://dx.doi.org/10.53479/29569.
Full textCooper, 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.
Full textGupta, Sejal. Monitoring of Real Estate Project Progress by RERA. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/mrepp06.2023.
Full textAnderson, 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.
Full textHaring, 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.
Full textHaigh, 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.
Full textBudzich, 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.
Full textMelillo, 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.
Full textGroshong, 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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