Relevant bibliographies by topics / Propagation channel modelling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Propagation channel modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Propagation channel modelling"

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Har, Dongsoo, Ce Xu, and Howard H. Xia. "Propagation modelling for wireless local loop channel." International Journal of Communication Systems 13, no. 3 (2000): 231–41. http://dx.doi.org/10.1002/1099-1131(200005)13:3<231::aid-dac428>3.0.co;2-q.

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Yang, Yi Huai. "Channel Modelling for WBANs." Applied Mechanics and Materials 246-247 (December 2012): 346–50. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.346.

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Development of an appropriate propagation channel model is an important step to design wireless body area network (WBAN). Because the human body has different body shapes (male, female and child), different tissues with different permittivity and conductivity (even the same person at the different age), and limbs positions and postures are changing all the time, this made the in-body channel modelling extremely difficult, if not impossible. There are few publications on implant communication channel models compared to wearable WBAN. In this paper, we present a literature survey on radio channel modelling for WBAN, especially the IEEE 802.15.6 models. The performance of the model is studied by simulating probability density functions (PDF) and cumulative distribution functions (CDF). Finally, we briefly outline some aspects of our future research works.
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Yang, Yi Huai. "Visual Simulation of Mobile Channel Model." Applied Mechanics and Materials 246-247 (December 2012): 1209–13. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1209.

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Simulink is the integrated environment of system modelling and simulation, which is being widespread used. This paper describes the MATLAB visual simulation of the propagation path loss model for telecommunication systems. We simulated the whole process of COST231-Walfisch-Ikegami model with high accuracy, built a visual simulation frame and the path loss curves are given. This method can be used in studying other propagation path loss models in propagation environments.
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Del Galdo, G., M. Haardt, and C. Schneider. "Geometry-based channel modelling of MIMO channels in comparison with channel sounder measurements." Advances in Radio Science 2 (May 27, 2005): 117–26. http://dx.doi.org/10.5194/ars-2-117-2004.

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Abstract. In this paper we propose a flexible geometrybased propagation model for wireless communications developed at Ilmenau University of Technology. The IlmProp comprises a geometrical representation of the environment surrounding the experiment and a precise representation of the transmitting and receiving antennas. The IlmProp is capable of simulating Multi-User MIMO scenarios and includes a complete collection of tools to analyze the synthetic channels. In order to assess the potentials as well as the limits of our channel simulator we reconstruct the scenario encountered in a recent measurement campaign at Ilmenau University of Technology leading to synthetic data sets similar to the ones actually measured. The measurements have been collected with the RUSK MIMO multi-dimensional channel sounder. From the comparisons of the two channel matrices it is possible to derive useful information to improve the model itself and to better understand the physical origins of small-scale fading. In particular the effects of the different parameters on the synthetic channel have been studied in order to assess the sensibility of the model. This analysis shows that the correct positioning of a small number of scatterers is enough to achieve frequency selectiveness as well as specific traits of the channel statistics. The size of the scattering clusters, the number of scatterers per cluster, and the Rician K-factor can be modified in order to tune the channel statistics at will. To obtain higher levels of time variance, moving scatterers or time dependent reflection coefficients must be introduced.
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Arndt, Daniel, Alexander Ihlow, Albert Heuberger, and Ernst Eberlein. "State Modelling of the Land Mobile Propagation Channel with Multiple Satellites." International Journal of Antennas and Propagation 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/625374.

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We evaluate a new approach for multisatellite state modelling: the Master-Slave approach. By this concept slave satellites are modelled according to an existing master, whereas the correlation between multiple slaves is omitted. Master-Slave is therefore a generic name for a state modelling concept, for which different realisations are possible. As a possible realisation we present the Conditional Assembling Method. For modelling of only two satellites (one master and one slave), the Conditional Assembling Method enables an accurate resimulation of the correlation coefficient between the satellites and the probabilities of single and combined states. Based on this condition, the performance of Master-Slave for three, four, and five satellites is evaluated in terms of state probability modelling. Therefore, the correlation coefficients and the all bad-state probabilities with Master-Slave are compared with the measurements for different elevation angles and azimuth angle separations of the multisatellite system. Master-Slave has a high modelling error in case of small azimuth separation between the slave satellites (except that one slave has a small azimuth separation to the master). Furthermore, a master satellite with a high elevation provides a lower probability error compared to a master with low elevation.
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Arias, Marvin R. "Analysis of Multipath Propagation based on Cluster Channel Modelling Approach." Polibits 42 (December 31, 2010): 77–82. http://dx.doi.org/10.17562/pb-42-9.

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Nguyen, Dung Van. "FINITE ELEMENT MODELLING FOR ELECTRIC FIELD DISTRIBUTION AROUND POSITIVE STREAMERS IN OIL." Vietnam Journal of Science and Technology 58, no. 1 (February 21, 2020): 56. http://dx.doi.org/10.15625/2525-2518/58/1/14448.

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Electric field distribution of positive streamers during propagation was determined with the finite element method by using COMSOL multiphysics. Modelling was performed at 210 kV and 270 kV. The geometrical shape of streamers was modelled with cylinder and sphere for the case of 210 kV while a growing cylinder was used for streamer propagation at 270 kV. In addition, a spherical model was used for determining the correlation between streamer branching and the electric field. It is obtained from the simulation results that the 2nd mode streamers has the electric field at channel tips of about 0.1 MV/cm while 8.3 MV/cm was received for the 4th mode streamers. The simulation results also reveal that the shielding effect resulting from streamer branching significantly reduces the electric field at the channel tips, and the shielding effect disappears with the angle a between channels is about 30o-60o depending on the size of streamer envelope. The hypothesis on correlation among velocity, streamer branching and electric field is suggested.
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Kyösti, Pekka, Tommi Jämsä, and Jukka-Pekka Nuutinen. "Channel Modelling for Multiprobe Over-the-Air MIMO Testing." International Journal of Antennas and Propagation 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/615954.

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This paper discusses over-the-air (OTA) test setup for multiple-input-multiple-output (MIMO) capable terminals with emphasis on channel modelling. The setup is composed of a fading emulator, an anechoic chamber, and multiple probes. Creation of a propagation environment inside an anechoic chamber requires unconventional radio channel modelling, namely, a specific mapping of the original models onto the probe antennas. We introduce two novel methods to generate fading emulator channel coefficients; the prefaded signals synthesis and the plane wave synthesis. To verify both methods we present a set of simulation results. We also show that the geometric description is a prerequisite for the original channel model.
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Lin, H. P., F. S. Tsai, and M. J. Tseng. "Satellite propagation channel modelling using photogrammetry and hidden Markov model approach." IEE Proceedings - Microwaves, Antennas and Propagation 148, no. 6 (2001): 375. http://dx.doi.org/10.1049/ip-map:20010728.

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Konstantinou, K., S. Kang, T. Brown, and C. Tzaras. "Measurement and modelling of the propagation channel between low-height terminals." IET Microwaves, Antennas & Propagation 5, no. 4 (2011): 412. http://dx.doi.org/10.1049/iet-map.2010.0197.

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Dissertations / Theses on the topic "Propagation channel modelling"

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Laurensen, David Irvine. "Indoor radio channel propagation modelling by ray tracing techniques." Thesis, University of Edinburgh, 1994. http://hdl.handle.net/1842/12397.

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In response to the requirement for a more detailed channel model based on the physical characteristics of the environment within which indoor radio communications operate, this thesis presents a channel model based on ray tracing techniques. The mathematical basis for the model is presented in terms of the electromagnetic properties of simple objects. The resulting model is coded into a simulation system which takes a description of a building in terms of the structure of internal walls, floors and ceilings. Through repeated application of the reflection process, a description of the channel impulse response is created for a given transmitter and receiver position from the multipath components generated. This model is applied, in progressing degrees of complexity, to two buildings for which narrowband physical measurements are available. Comparison is made between the measured results and the narrowband simulation results which leads to an analysis of the various propagation mechanisms involved in in-building communications. It is found that the model, while not accurately predicting the measured results, does produce a model that, considering the unknown parameters of the environment and experimental procedure, relates well to the channel experienced by a communication system. Wideband channel characteristics are determined from the simulation model, and found to give access to more detailed information on the channel than is obtainable through physical measurement. The results of the wideband simulations are compared with published material containing measurement results, and the relationship to the narrowband results already presented is shown.
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Morrison, Gerald Dale. "Measurement, characterization, and modelling of the indoor radio propagation channel." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq64829.pdf.

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Ghazal, Ammar. "Propagation channel characterisation and modelling for high-speed train communication systems." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/3079.

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High-mobility scenarios, e.g., High-Speed Train (HST) scenarios, are expected to be typical scenarios for the Fifth Generation (5G) communication systems. With the rapid development of HSTs, an increasing volume of wireless communication data is required to be transferred to train passengers. HST users demand high network capacity and reliable communication services regardless of their locations or speeds, which are beyond the capability of current HST communication systems. The features of HST channels are significantly different from those of low-mobility cellular communication systems. For a proper design and evaluation of future HST wireless communication systems, we need accurate channel models that can mimic the underlying channel characteristics, especially the non-stationarity for different HST scenarios. Inspired by the lack of such accurate HST channel models in the literature, this PhD project is devoted to the modelling and simulation of non-stationary Multiple-Input Multiple-Output (MIMO) channels for HST communication systems. In this thesis, we first give a comprehensive review of the measurement campaigns conducted in different HST scenarios and address the recent advances in HST channel models. We also highlight the key challenges of HST channel measurements and models. Then, we study the characterisation of non-stationary channels and propose a theoretical framework for deriving the statistical properties of these channels. HST wireless communication systems encounter different channel conditions due to the difference of surrounding geographical environments or scenarios. HST channel models in the literature have either considered large-scale parameters only and/or neglected the non-stationarity of HST channels and/or only consider one of the HST scenarios. Therefore, we propose a novel generic non-stationary Geometry-Based Stochastic Model (GBSM) for wideband MIMO HST channels in different HST scenarios, i.e., open space, viaduct, and cutting. The corresponding simulation model is then developed with angular parameters calculated by the Modified Method of Equal Area (MMEA). The system functions and statistical properties of the proposed channel models are thoroughly studied. The proposed generic non-stationary HST channel models are verified by measurements in terms of stationary time for the open space scenario and the Autocorrelation Function (ACF), Level Crossing Rate (LCR), and stationary distance for the viaduct and cutting scenarios. Transmission techniques which are capable of utilising Three-Dimensional (3D) spatial dimensions are significant for the development of future communication systems. Consequently, 3D MIMO channel models are critical for the development and evaluation of these techniques. Therefore, we propose a novel 3D generic non-stationary GBSM for wideband MIMO HST channels in the most common HST scenarios. The corresponding simulation model is then developed with angular parameters calculated by the Method of Equal Volume (MEV). The proposed models considers several timevarying channel parameters, such as the angular parameters, the number of taps, the Ricean K-factor, and the actual distance between the Transmitter (Tx) and Receiver (Rx). Based on the proposed generic models, we investigate the impact of the elevation angle on some of the channel statistical properties. The proposed 3D generic models are verified using relevant measurement data. Most standard channel models in the literature, like Universal Mobile Telecommunications System (UMTS), COST 2100, and IMT-2000 failed to introduce any of the HST scenarios. Even for the standard channel models which introduced a HST scenario, like IMT-Advanced (IMT-A) and WINNER II channel models, they offer stationary intervals that are noticeably longer than those in measured HST channels. This has inspired us to propose a non-stationary IMT-A channel model with time-varying parameters including the number of clusters, powers, delays of the clusters, and angular parameters. Based on the proposed non-stationary IMT-A channel model, important statistical properties, i.e., the time-variant spatial Cross-correlation Function (CCF) and time-variant ACF, are derived and analysed. Simulation results demonstrate that the stationary interval of the developed non-stationary IMT-A channel model can match that of relevant HST measurement data. In summary, the proposed theoretical and simulation models are indispensable for the design, testing, and performance evaluation of 5G high-mobility wireless communication systems in general and HST ones in specific.
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King, P. R. "Modelling and management of the land mobile satellite MIMO radio propagation channel." Thesis, University of Surrey, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441874.

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Fang, Cheng. "The characterisation and modelling of the wireless propagation channel in small cells scenarios." Thesis, University of Bedfordshire, 2015. http://hdl.handle.net/10547/595693.

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The rapid growth in wireless data traffic in recent years has placed a great strain on the wireless spectrum and the capacity of current wireless networks. In addition, the makeup of the typical wireless propagation environment is rapidly changing as a greater percentage of data traffic moves indoors, where the coverage of radio signals is poor. This dual fronted assault on coverage and capacity has meant that the tradition cellular model is no longer sustainable, as the gains from constructing new macrocells falls short of the increasing cost. The key emerging concept that can solve the aforementioned challenges is smaller base stations such as micro-, pico- and femto-cells collectively known as small cells. However with this solution come new challenges: while small cells are efficient at improving the indoor coverage and capacity; they compound the lack of spectrum even more and cause high levels of interference. Current channel models are not suited to characterise this interference as the small cells propagation environment is vast different. The result is that overall efficiency of the networks suffers. This thesis presents an investigation into the characteristics of the wireless propagation channel in small cell environments, including measurement, analysis, modelling, validation and extraction of channel data. Two comprehensive data collection campaigns were carried out, one of them employed a RUSK channel sounder and featured dual-polarised MIMO antennas. From the first dataset an empirical path loss model, adapted to typical indoor and outdoor scenarios found in small cell environments, was constructed using regression analysis and was validated using the second dataset. The model shows good accuracy for small cell environments and can be implemented in system level simulations quickly without much requirements.
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Pal, Arindam. "Modelling the impact of antenna radiation patterns and propagation conditions on MIMO channel capacity." Thesis, University of Bristol, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435739.

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Goulianos, A. A. "Empirical-statistical modelling and simulation of the ultra wideband body-centric radio propagation channel." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/842846/.

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Ultra Wide-Band (UWB) communications is an emerging technology which can provide numerous advantages compared to conventional wireless systems. UWB technology aims to incorporate low-power, noise-like signal transmissions, making them ideal for use in Wireless Body Area Network (WBAN) communication systems. Towards this end, the work presented in this thesis is oriented to the statistical characterization and modelling of UWB-WB AN channels. The most important aspects of the work undertaken in this thesis are reviewed below. The first contribution of this thesis is an enhancement upon the existing UWB on-body channels. More specifically, an advanced Markov-chain technique has been employed in order to predict the path arrival sequence on channels of this sort. Results suggest that this methodology can accurately represent the experimental data, and provide more reliable results when compared to the classic Poisson approach. The second contribution of the thesis introduces a novel two-dimensional signal strength prediction model, applicable to the UWB off-body propagation channel, This model is based on real-body measurements, carried out in controlled environments. The parameters that characterize this specific propagation environment have been evaluated and validated by means of comparison with the empirical data. The third contribution of this thesis incorporates a generalization of the UWB off-body total power gain model for different types of indoor environments. More specifically, the effect of the indoor scattering in the received signal strength is thoroughly examined with respect to both the distance and body orientation. Furthermore, the small-scale fading, the temporal correlation and the time dispersion characteristics of the received signal are investigated. Finally, bringing all pieces together, a statistical Power Delay Profile (PDP) model for the evaluation and design of UWB off-body systems has been developed. Due to the dependence of the radio propagation channel on the body orientation, separate stochastic tapped-delay-line models are developed for each body region. It is shown that die proposed modeling technique can adequately capture the key channel metrics of the UWB off-body propagation channel.
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Blanc, Grégory, Alexandre Skrzypczak, and Jean-Guy Pierozak. "BLIND EQUALIZATION WITH LDPC CODE: TO QUASIERROR FREE TRANSMISSIONS IN TELEMETRY." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624248.

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In a telemetry system, it has been frequently proved that multipath channels and transmission noise are the most critical sources of distortion. While equalization allows a strong limitation of the multipath effects, the noise impact can be efficiently reduced if forward error correction is used. This paper proves that the combination of blind equalization and a powerful FEC like LDPC strongly improves bit error rates for the SOQPSK modulation. We also prove that a LDPC code is able to fully correct the residual errors that may persist at the equalizer output. In other terms, the combination of equalization and LDPC code enables quasi-error free transmissions in various channel scenarios that represent the various phases of a telemetry mission.
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Adegoke, Elijah. "Radio frequency channel characterization for energy harvesting in factory environments." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33412.

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This thesis presents ambient energy data obtained from a measurement campaign carried out at an automobile plant. At the automobile plant, ambient light, ambient temperature and ambient radio frequency were measured during the day time over two days. The measurement results showed that ambient light generated the highest DC power. For plant and operation managers at the automobile plant, the measurement data can be used in system design considerations for future energy harvesting wireless sensor nodes at the plant. In addition, wideband measurements obtained from a machine workshop are presented in this thesis. The power delay profile of the wireless channel was obtained by using a frequency domain channel sounding technique. The measurements were compared with an equivalent ray tracing model in order to validate the suitability of the commercial propagation software used in this work. Furthermore, a novel technique for mathematically recreating the time dispersion created by factory inventory in a radio frequency channel is discussed. As a wireless receiver design parameter, delay spread characterizes the amplitude and phase response of the radio channel. In wireless sensor devices, this becomes paramount, as it determines the complexity of the receiver. In reality, it is sometimes difficult to obtain full detail floor plans of factories for deterministic modelling or carry out spot measurements during building construction. As a result, radio provision may be suboptimal. The method presented in this thesis is based on 3-D fractal geometry. By employing the fractal overlaying algorithm presented, metallic objects can be placed on a floor plan so as to obtain similar radio frequency channel effects. The environment created using the fractal approach was used to estimate the amount of energy a harvesting device can accumulate in a University machine workshop space.
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Herbert, Steven John. "Wireless communication in vehicles." Thesis, University of Cambridge, 2015. https://www.repository.cam.ac.uk/handle/1810/280675.

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There is an increasing interest in the deployment of wireless communication systems in vehicles. The motivation for this work is to provide a fundamental characterisation of the in-vehicle Electromagnetic (EM) wave propagation environment, and to demonstrate how this can be used to aid the deployment of wireless communication systems in vehicles. The fundamental characterisation of the in-vehicle EM wave propagation environment presented in this dissertation yields a number of useful outcomes. The instantaneous impulse response of the in-vehicle channel is characterised, which is presented in the form of a statistical model for arriving rays. Noticing that it is impractical to undertake a full statistical characterisation of the time-varying impulse response, the time variation of the in-vehicle channel is instead characterised as a Doppler spread. This approach provides parameters which are sufficient to perform an information theoretic analysis to lower bound the capacity of the in-vehicle channel. For typical operating conditions, it is found that the channel capacity is approximately equal to that of the same channel with perfect channel state information available at the receiver. Having established the fundamental EM wave propagation characteristics for a single in-vehicle wireless channel, the EM properties of the cavity itself are characterised. This is achieved through a thorough investigation into the analogy between vehicle cavities and reverberation chambers, specifically considering the quality factor (and hence time constant), EM isolation, and electric field uniformity of typical vehicle cavities. This approach yields the important insight that the root mean square delay spread is approximately the same for all wireless links in a typical vehicle cavity. Also, that the angular spread of energy received at any given location (away from the cavity boundaries) is approximately uniform, and that over short distances the coherence distance is well defined, and hence Multiple Input Multiple Output antenna arrays should work well in vehicles. To what extent a typical wireless system can exploit this characterisation depends on how well the parameters can be estimated by a typical wireless communication system. This is also addressed, specifically investigating the estimation of the cavity time constant, and channel time variation. It is found that both of these can be estimated well using a typical wireless sensor network system.
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Books on the topic "Propagation channel modelling"

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.

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Allen, Ben, Guillaume De la Roche, and Andres Alayon Glazunov. LTE--advanced and next generation wireless networks: Channel modelling and propagation. Chichester, West Sussex, U.K: Wiley, 2012.

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Wiley & Sons, Incorporated, John, 2013.

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Salous, Sana. Radio Propagation Measurement and Channel Modelling. Wiley & Sons, Incorporated, John, 2013.

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Radio Propagation Measurement And Channel Modelling. John Wiley & Sons, 2013.

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Book chapters on the topic "Propagation channel modelling"

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"Vehicular communications channel modelling." In Radio Wave Propagation in Vehicular Environments, 161–276. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/sbew541e_ch6.

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Degauque, Pierre, Emmanuel Van Lil, Vittorio Degli-Esposti, Pertti Vainikainen, Filipe Cardoso, Wim A. Th Kotterman, and Luís M. Correia. "Propagation modelling and channel characterisation." In Mobile Broadband Multimedia Networks, 119–217. Elsevier, 2006. http://dx.doi.org/10.1016/b978-012369422-5/50006-3.

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"Radio Channel Models." In Radio Propagation Measurement and Channel Modelling, 85–147. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.ch3.

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"Radio Channel Sounders." In Radio Propagation Measurement and Channel Modelling, 149–254. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.ch4.

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"Appendix 1." In Radio Propagation Measurement and Channel Modelling, 385–91. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.app1.

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"Appendix 2." In Radio Propagation Measurement and Channel Modelling, 393–94. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.app2.

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"Radio Wave Fundamentals." In Radio Propagation Measurement and Channel Modelling, 1–33. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.ch1.

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"Radio Wave Transmission." In Radio Propagation Measurement and Channel Modelling, 35–83. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.ch2.

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"Data Analysis." In Radio Propagation Measurement and Channel Modelling, 255–336. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.ch5.

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"Radio Link Performance Prediction." In Radio Propagation Measurement and Channel Modelling, 337–84. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118502280.ch6.

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Conference papers on the topic "Propagation channel modelling"

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Cai, Xuesong, Ana Gonzalez-Plaza, David Alonso, Lei Zhang, Cesar Briso Rodriguez, Antonio Perez Yuste, and Xuefeng Yin. "Low altitude UAV propagation channel modelling." In 2017 11th European Conference on Antennas and Propagation (EUCAP). IEEE, 2017. http://dx.doi.org/10.23919/eucap.2017.7928479.

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Chamaani, Somayyeh, Yuriy I. Nechayev, Peter S. Hall, and Seyed A. Mirtaheri. "In-body to off-body channel modelling." In Propagation Conference (LAPC). IEEE, 2010. http://dx.doi.org/10.1109/lapc.2010.5666897.

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Pedersen, T., and B. H. Fleury. "Radio Channel Modelling Using Stochastic Propagation Graphs." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.454.

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Michalopoulou, A., A. A. Alexandridis, K. Peppas, T. Zervos, F. Lazarakis, K. Dangakis, and D. I. Kaklamani. "On-body channel modelling: Measurements and statistical analysis." In Propagation Conference (LAPC). IEEE, 2010. http://dx.doi.org/10.1109/lapc.2010.5666174.

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Masadan, Nurul Afifah Binti, Mohamed Hadi Habaebi, and Siti Hajar Yusoff. "LoRa LPWAN Propagation Channel Modelling in IIUM Campus." In 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2018. http://dx.doi.org/10.1109/iccce.2018.8539327.

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Mod Rofi, Ahmad Shahmi, Mohamed Hadi Habaebi, Md Rafiqul Islam, and Ahmed Basahel. "LoRa Channel Propagation Modelling using Artificial Neural Network." In 2021 8th International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2021. http://dx.doi.org/10.1109/iccce50029.2021.9467234.

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Harada, Hiroshi, and Hirokazu Sawada. "Millimeter-wave channel modelling for IEEE802 standardizations." In 2014 8th European Conference on Antennas and Propagation (EuCAP). IEEE, 2014. http://dx.doi.org/10.1109/eucap.2014.6901841.

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Zollinger, E., T. Jamsa, J. Ylitalo, and P. Kyosti. "Advanced radio channel modelling, sounding & emulation." In 2nd European Conference on Antennas and Propagation (EuCAP 2007). Institution of Engineering and Technology, 2007. http://dx.doi.org/10.1049/ic.2007.0936.

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Richter, A., J. Salmi, and V. Koivunen. "Signal processing perspectives to radio channel modelling." In 2nd European Conference on Antennas and Propagation (EuCAP 2007). Institution of Engineering and Technology, 2007. http://dx.doi.org/10.1049/ic.2007.1525.

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Zhongwei Tang and A. S. Mohan. "Indoor directional channel modelling for future wireless communications." In IEEE Antennas and Propagation Society Symposium, 2004. IEEE, 2004. http://dx.doi.org/10.1109/aps.2004.1330139.

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