Dissertations / Theses on the topic 'Wireless Radio Channel'
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Hunter, Brandon Rosel. "Channel probing for an indoor wireless communications channel /." Diss., CLICK HERE for online access, 2003. http://contentdm.lib.byu.edu/ETD/image/etd196.pdf.
Full textNaveed, Anjum Computer Science & Engineering Faculty of Engineering UNSW. "Channel assignment in multi-radio multi-channel wireless mesh networks." Awarded by:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41500.
Full textAmiri, Nehzad Maryam. "Channel assignment protocols for multi-radio multi-channel wireless mesh netwworks." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/104156.
Full textXing, Zitong. "A dynamic radio channel allocation scheme for WLANs." Diss., Online access via UMI:, 2005.
Find full textSng, Sin Hie. "Radio channel modeling for mobile ad hoc wireless networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FSng.pdf.
Full textThesis advisor(s): Murali Tummala, Roberto Cristi. Includes bibliographical references (p. 71). Also available online.
Al-Wajeeh, Taha. "Efficient radio channel modeling for urban wireless sensors networks." Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2314.
Full textModeling the radio channel in an accurate way is a key element of any wireless systems. Deterministic models offer a good degree of precision at the cost of high computational complexity, which is prohibitive for wireless sensor network (WSN) simulators because they involve many sensor nodes in a city-wide scale. Within this context, the objective of this thesis is to propose efficient, fast, and accurate deterministic methods for modeling electromagnetic waves by finding the best time-accuracy trade-offs that guarantee accuracy under tight time constraints. The study was first subdivided into two modes according to the dominant propagation mechanism. In microcell configurations, the proposed approach is a ray-tracing model based on the visibility technique. It adopts a set of acceleration techniques to reduce the complexity with a minimal loss of precision. With the same objective, the vertical propagation was addressed to include the most significant contributions. Finally, these models were integrated into a WSN simulator to provide realistic and accurate results for smart city applications. The importance of using accurate models in WSN simulators is illustrated in terms of some network parameters
Randle, Andrew Martin. "Dynamic radio channel effects from L-band foliage scatter." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341630.
Full textAndreu, Estellés Carlos. "UWB radio channel and diversity characterization for wireless implanted devices." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/111836.
Full textWireless Body Area Networks allow the interconnection between independent nodes located either inside or over the body skin or further. Regarding in-body communications, establishing a proper link with a capsule endoscope or with a pacemaker are examples of technological advances achieved in the last decades. In spite of these healthcare developments, current standards for these kind of communications do not allow high data rate wireless connections, which are common in the current telecommunication services. UWB systems have emerged as a potential solution for future wireless in-body communications. Nevertheless, the main drawback of UWB for in-body applications is the high attenuation of human body tissues which increases dramatically with the increment of frequency. Hence, an accurate UWB in-body channel characterization is relevant in order validate UWB frequency band as the best candidate for future networks of implantable nodes. This thesis is devoted to test UWB technology for in-body communications from an experimental point of view. To achieve this goal, a novel spatial phantom-based measurement setup is used in several in-body propagation scenarios. Thus, the losses in the propagation medium and the channel diversity are checked in a reliable way. In order to check the values obtained in laboratory, they are compared and discussed with those obtained in an in vivo experiment. On the other hand, new UWB antenna candidates for inbody communications are designed and manufactured by using typical and new miniaturization and antenna optimization techniques for this purpose. Finally, diversity-based techniques are used to improve the performance of the propagation channel in two different in-body scenarios.
Les xarxes d'àrea corporal permeten la interconnexió de nodes independents situats, o bé dins, o bé sobre la pell, o inclús allunyats del propi cos. Pel que fa a les comunicacions intracorporals, l'establiment d'un bon enllaç amb una càpsula endoscòpica o amb un marcapassos, són exemples dels avanços tecnològics aconseguits les darreres dècades. A pesar d'aquests desenvolupaments en assistència sanitària, els estàndards actuals per a aquests tipus de comunicacions no permeten connexions sense fil d'alta velocitat de transmissió, que són habituals als serveis actuals de telecomunicacions. Els sistemes UWB han sorgit com una solució potencial per a les futures comunicacions sense fill intracorporals. No obstant, el principal obstacle de la tecnologia UWB per a les aplicacions intracorporals és l'alta atenuació dels teixits del cos humà, que augmenta dràsticament amb l'increment de freqüència. Per tant, és important una caracterització acurada del canal UWB intracorporal a l'hora de validar la banda de freqüència UWB com a la millor candidata per a les futures xarxes de nodes implantats.Aquesta tesi se centra en l'anàlisi de la tecnologia UWB per a comunicacions intracorporals des d'un punt de vista experimental. Per a aconseguir aquest objectiu s'ha emprat un sistema novedós de mesures experimentals, basat en fantomes, en diversos escenaris de propagació intracorporal. D'aquesta manera es poden comprovar les pèrdues de propagació en el medi i la diversitat del canal d'una forma fiable. Per tal d'avaluar els valors obtinguts al laboratori, s'han comparat i analitzat amb aquells obtinguts en un experiment in vivo. Per altra banda, s'han dissenyat i fabricat noves antenes UWB candidates per a comunicacions intracorporals emprant tècniques típiques i noves de miniaturització i optimització d'antenes per a aquest propòsit. Finalment s'han usat tècniques basades en diversitat per a millorar el rendiment del canal de propagació en dos escenaris intracorporals diferents.
Andreu Estellés, C. (2018). UWB radio channel and diversity characterization for wireless implanted devices [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/111836
TESIS
Yoon, Suk-Un. "Dynamic Radio Resource Allocation in Wireless Sensor and Cognitive Radio Networks." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259768264.
Full textSong, Liying Tugnait Jitendra K. "Channel estimation and equalization for doubly-selective channels using basis expansion models." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Electrical_and_Computer_Engineering/Dissertation/Song_Liying_29.pdf.
Full textGrace, David. "Distributed Dynamic Channel Assignment for the wireless environment." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288041.
Full textChoi, Sangil. "Minimum interference channel assignment for multicast in multi-channel multi-radio wireless mesh networks." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468073.
Full textWang, Xufang. "Multiresolution joint source and channel coding for wireless communications /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23340113.
Full textTenneti, Shivaram Venkata. "Channel assignment for throughput improvement in multi-radio wireless mesh networks." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/tenneti/TennetiS1207.pdf.
Full textHe, Shuangchi. "Doubly-selective channel estimation and equalization using superimposed training and expansion models." Auburn, Ala., 2007. http://repo.lib.auburn.edu/07M%20Dissertations/HE_SHUANGCHI_5.pdf.
Full textDurgin, Gregory David. "Theory of Stochastic Local Area Channel Modeling for Wireless Communications." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/29843.
Full textPh. D.
王徐芳 and Xufang Wang. "Multiresolution joint source and channel coding for wireless communications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31225299.
Full textMavrakis, Dimitrios. "Measurement and prediction of the wideband indoor radio and infrared channels." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/843991/.
Full textYu, Kai. "Modeling of Multiple-Input Multiple-Output Radio Propagation Channels." Licentiate thesis, KTH, Signals, Sensors and Systems, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1478.
Full textIn recent years, multiple-input multiple-output (MIMO)systems appear to be very promising since they can provide highdata rates in environments with sucient scattering byexploiting the spatial domain. To design a real MIMO wirelesssystem and predict its performance under certain circumstances,it is necessary to have accurate MIMO wireless channel modelsfor dierent scenarios. This thesis presents dierent models forindoor MIMO radio propagation channels based on 5.2 GHz indoorMIMO channel measurements.The recent research on MIMO radio channel modeling isbriey reviewed in this thesis. The models are categorized intonon-physical and physical models. The non-physical modelsprimarily rely on the statistical characteristics of MIMOchannels obtained from the measured data while the physicalmodels describe the MIMO channel (or its distribution) via somephysical parameters. The relationships between dierent modelsare also discussed.For the narrowband case, a non line-of-sight (NLOS)indoor MIMO channel model is presented. The model is based on aKronecker structure of the channel covariance matrix and thefact that the channel is complex Gaussian. It is extended tothe line-of-sight (LOS) scenario by estimating and modeling thedominant component separately.As for the wideband case, two NLOS MIMO channel modelsare proposed. The rst model uses the power delay prole and theKronecker structure of the second order moments of each channeltap to model the wideband MIMO channel while the second modelcombines a simple single-input single-output (SISO) model withthe same Kronecker structure of the second order moments.Monte-Carlo simulations are used to generate indoor MIMOchannel realizations according to the above models. The resultsare compared with the measured data and good agreement has beenobserved.
Vig, Jyotika. "ISM Band Indoor Wireless Channel Amplitude Characteristics: Path Loss and Gain vs. Distance and Frequency." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1091111060.
Full textThavarajah, Arunasala Iyer. "A study of fixed channel assignment algorithms for cellular mobile radio systems." Thesis, Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21241144.
Full textAdegoke, Elijah. "Radio frequency channel characterization for energy harvesting in factory environments." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33412.
Full textHuang, Kaiyu. "High Security Cognitive Radio Network via Instantaneous Channel Information." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1558574722164809.
Full textPettersson, Stefan. "Radio resource management for wireless indoor communication systems : performance and implementation aspects." Doctoral thesis, KTH, Signals, Sensors and Systems, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3743.
Full textIn this thesis, we investigate several radio resourcemanagement (RRM) techniques and concepts in an indoorenvironment with a dense infrastructure. Future wireless indoorcommunication networks will very likely be implemented atplaces where the user concentration is very high. At these hotspots, the radio resources must be used efficiently. The goalis to identify efficient RRM techniques and concepts that aresuitable for implementation in an indoor environment.
Handling the high level of co-channel interference is shownto be of paramount importance. Several investigations in thethesis point this out to be the key problem in an indoorenvironment with a dense infrastructure. We show that a locallycentralized radio resource management concept, the bunchconcept, can give a very high performance compared to othercommonly used RRM concepts. Comparisons are made withdistributed systems and systems using channel selection schemeslike CSMA/CA. The comparisons are primarily made by capacityand throughput analysis which are made by system levelsimulations. Results show that the centralized concept can give85 percent higher capacity and 70 percent higher throughputthan any of the compared systems.
We investigate several RRM techniques to deal with thechannel interference problem and show that beamforming cangreatly reduce the interference and improve the systemperformance. Beamforming, especially sector antennas, alsoreduce the transmitter powers and the necessary dynamic range.A comparison is made between the use of TD/CDMA and pure TDMAwhich clearly shows the performance benefits of usingorthogonal channels that separates the users and reduces theco-channel interference. Different channel selection strategiesare studied and evaluated along with various methods to improvethe capability of system co-existence.
We also investigate several practical measures to facilitatesystem implementation. Centralized RRM is suitable forguaranteeing QoS but is often considered too complex. With thestudied centralized concept the computational complexity can bereduced by splitting the coverage area into smaller pieces andcover them with one centralized system each. This reduces thecomplexity at the prize of lost capacity due to theuncontrolled interference that the different systems produce.Our investigations show that sector antennas can be used toregain this capacity loss while maintaining high reduction incomplexity. Without capacity loss, the computational complexitycan be reduced by a factor of 40 with sectoring. Theimplementation aspects also include installation sensitivity ofthe indoor architecture and the effect of measurement errors inthe link gains. The robustness against installation errors ishigh but the bunch concept is quite sensitive to largemeasurement errors in the studied indoor environment. Thiseffect can be reduced by additional SIR-margins of the radiolinks.
The studied bunch concept is shown to be promising for usein future wireless indoor communication systems. It provideshigh performance and is feasible to implement.
Keywords:Radio resource management, indoorcommunication, the bunch concept, centralized RRM, dynamicchannel allocation, channel selection, co-channel interference,power control, feasibility check, capacity, throughput, qualityof service, beamforming, downtilting, sector antennas,co-existence, computational complexity, sensitivity analysis,measurement errors, infrastructure, system implementation,WLAN, HiperLAN/2, IEEE 802.11.
Hatami, Ahmad. "Application of channel modeling for indoor localization using TOA and RSS." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-053106-160141/.
Full textJamison, James. "Leveraging Software-Defined Radio for a Scalable Wide-band Wireless Channel Measurement System." ScholarWorks @ UVM, 2018. https://scholarworks.uvm.edu/graddis/969.
Full textXu, Hao. "Terrestrial radio wave propagation at millimeter-wave frequencies." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27522.
Full textPh. D.
Newhall, William George. "Radio Channel Measurements and Modeling for Smart Antenna Array Systems Using a Software Radio Receiver." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/27115.
Full textPh. D.
Kakumanu, Sandeep. "Algorithms and protocols for multi-channel wireless networks." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42834.
Full textChow, Y. C. "Performance analysis of bandwidth-efficient modulation schemes for high capacity wireless networks 1." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337257.
Full textShah, Ibrar Ali. "Channel assignment and routing in cooperative and competitive wireless mesh networks." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6568.
Full textKakumanu, Sandeep. "Component Based Channel Assignment in Single Radio, Multichannel Ad hoc Networks." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19870.
Full textKoshy, Ronnie. "A Joint Radio and Channel Assignment (JRCA) scheme for 802.11-based wireless mesh networks." [Ames, Iowa : Iowa State University], 2009.
Find full textAbbasi, Qammer Hussain. "Radio channel characterisation and system-level modelling for ultra wideband body-centric wireless communications." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/2406.
Full textYarkan, Serhan. "Environment, channel, and interference awareness for next generation wireless networks." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003269.
Full textM, M. Galib Asadullah. "Robust wireless communications under co-channel interference and jamming." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22571.
Full textCommittee Chair: Gordon L. Stuber; Committee Member: Alfred D. Andrew; Committee Member: John A. Buck; Committee Member: Steven W. McLaughlin; Committee Member: Ye (Geoffrey) Li.
Yücek, Tevfik. "Channel, spectrum, and waveform awareness in OFDM-based cognitive radio systems." Scholar Commons, 2007. http://scholarcommons.usf.edu/etd/2425.
Full text鄭价昌 and Kai-cheong Chang. "Adaptive channel equalisation technique for wideband time-division multiple access digital mobile radio communications systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31212888.
Full textChang, Kai-cheong. "Adaptive channel equalisation technique for wideband time-division multiple access digital mobile radio communications systems /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B17590371.
Full textNg, Ka Wai. "Generalized bit and power allocation for single and multi-user OFDM MIMO system in frequency selective fading channel /." View abstract or full-text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20NG.
Full textKretschmer, Mathias Raimund Otto. "Integration of unidirectional technologies into wireless back-haul architecture." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6574.
Full textChen, Wei-Chuan. "A Multi-Channel, Impedance-Matching, Wireless, Passive Recorder for Medical Applications." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555661316375242.
Full textSpencer, Quentin H. "Transmission Strategies for Wireless Multi-user, Multiple-Input, Multiple-Output Communication Channels." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd378.pdf.
Full textPirkl, Ryan J. "Measurement-based investigations of radio wave propagation: an exposé on building corner diffraction." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33961.
Full textPanahandeh, Ali. "Multi-polarized sensing for cognitive radio." Doctoral thesis, Universite Libre de Bruxelles, 2012. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209586.
Full textFirst the depolarization occurring in the wireless channel is studied for two cognitive radio scenarios. This is done through an extensive measurement campaign in two outdoor-to-indoor and indoor-to-indoor scenarios where the parameters characterizing the radiowaves polarization are characterized at three different spatial scales: small-scale variation, large-scale variation and distance variation.
Second, a new approach is proposed in modeling of multi-polarized channels. The polarization of received fields is characterized from an electromagnetic point of view by modeling the polarization ellipse. Theoretical formulations are proposed in order to obtain the parameters characterizing the polarization ellipse based on the signals received on three cross-polarized antennas. A system-based statistical model of the time-dynamics of polarization is proposed based on an indoor-to-indoor measurement campaign. The analytical formulations needed in order to project the polarization ellipse onto a polarized multi-antenna system are given and it is shown how the model can be generated.
Third, the impact of polarization on the spectrum sensing performances of energy detection method is presented and its importance is highlighted. The performance of spectrum sensing with multi-polarized antennas is compared with unipolar single and multi-antenna systems. This analysis is based on an analytical formulation applied to the results obtained from the multi-polarized measurement campaign. The detection probability as a function of distance between the primary transmitter and the secondary terminal and the inter-antenna correlation effect on the spectrum sensing performance are studied.
An important limitation of energy detector is its dependence on the knowledge of the noise variance. An uncertainty on the estimation of the noise variance considerably affects the performance of energy detector. This limitation is resolved by proposing new multi-polarized spectrum sensing methods which do not require any knowledge neither on the primary signal nor on the noise variance. These methods, referred to as “Blind spectrum sensing methods”, are based on the use of three cross-polarized antennas at the secondary terminal. Based on an analytical formulation and the results obtained from the measurement campaign, the performances of the proposed methods are compared with each-other and with the energy detection method. The effect of antenna orientation on the spectrum sensing performance of the proposed methods and the energy detection method is studied using the proposed elliptical polarization model.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished
Al-Hmood, Hussien. "Performance analysis of energy detector over different generalised wireless channels based spectrum sensing in cognitive radio." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11210.
Full textIvo, Akum Nji. "Comparative Analysis of Performance Routing Metrics for Multi-radio Wireless Mesh Networks." Thesis, Blekinge Tekniska Högskola, Avdelningen för telekommunikationssystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5056.
Full textYan, Yue. "Performance Analysis of Network Coding Techniques and Resource Allocation Algorithms in Multiuser Wireless Systems." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/76872.
Full textMaster of Science
Fu, Weihuang. "Analytical Model for Capacity and Delay Optimization in Wireless Mesh Networks." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1289937944.
Full textGuvensen, Gokhan Muzaffer. "Near Capacity Operating Practical Transceivers For Wireless Fading Channels." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610398/index.pdf.
Full texton the other hand, it reduces the complexity of demodulation at the receiver by converting the channel into noninterfering subchannels. However, it is shown in this thesis that it is still possible to achieve a performance very close to the outage probability and exploit the space-frequency diversity benefits of the wireless fading channel without compromising the receiver complexity, even if the CSIT is not used. The proposed receiver structure is based on iterative forward and backward filtering to suppress the interference both in time and space followed by a spacetime decoder. The rotation of multidimensional constellations for block fading channels and the single-carrier frequency domain equalization (SC-FDE) technique for wideband MIMO channels are studied as example applications.