848 research outputs found
Radio frequency channel characterization for energy harvesting in factory environments
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
Experimental analysis of multidimensional radio channels
In this thesis new systems for radio channel measurements including space and polarization dimensions are developed for studying the radio propagation in wideband mobile communication systems. Multidimensional channel characterization is required for building channel models for new systems capable of exploiting the spatial nature of the channel. It also gives insight into the dominant propagation mechanisms in complex radio environments, where their prediction is difficult, such as urban and indoor environments.
The measurement systems are based on the HUT/IDC wideband radio channel sounder, which was extended to enable real-time multiple output channel measurements at practical mobile speeds at frequencies up to 18Â GHz. Two dual-polarized antenna arrays were constructed for 2Â GHz, having suitable properties for characterizing the 3-D spatial radio channel at both ends of a mobile communication link. These implementations and their performance analysis are presented.
The usefulness of the developed measurement systems is demonstrated by performing channel measurements at 2Â GHz and analyzing the experimental data. Spatial channels of both the mobile and base stations are analyzed, as well as the double-directional channel that fully characterizes the propagation between two antennas. It is shown through sample results that spatial domain channel measurements can be used to gain knowledge on the dominant propagation mechanisms or verify the current assumptions. Also new statistical information about scatterer distribution at the mobile station in urban environment is presented based on extensive real-time measurements. The developed techniques and collected experimental data form a good basis for further comparison with existing deterministic propagation models and development of new spatial channel models.reviewe
On the Geometric Modeling of the Uplink Channel in a Cellular System
To meet the challenges of present and future wireless communications realistic propagation models that consider both spatial and temporal channel characteristics are used. However, the complexity of the complete characterization of the wireless medium has pointed out the importance of approximate but simple approaches. The geometrically based methods are typical examples of low–complexity but adequate solutions. Geometric modeling idealizes the aforementioned wireless propagation environment via a geometric abstraction of the spatial relationships among the transmitter, the receiver, and the scatterers. The paper tries to present an efficient way to simulate mobile channels using geometrical–based stochastic scattering models. In parallel with an overview of the most commonly used propagation models, the basic principles of the method as well the main assumptions made are presented. The study is focused on three well–known proposals used for the description of the Angle–of –Arrival and Time–of–Arrival statistics of the incoming multipaths in the uplink of a cellular communication system. In order to demonstrate the characteristics of these models illustrative examples are given. The physical mechanism and motivations behind them are also included providing us with a better understanding of the physical insight of the propagation medium
Performance analysis of ultra wide band indoor channel
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008.Cataloged from PDF version of thesis report.Includes bibliographical references (page 41).Research on wireless communication system has been pursued for many
years, but there is a renewed interest in ultra-wideband (UWB) technology for
communication within short range, because of its huge bandwidth and low
radiated power level. This emerging technology provides extremely high data
rate in short ranges but in more secured approach. In order to build systems
that realize all the potential of UWB, it is first required to understand UWB
propagation and the channel properties arise from the propagation. In this
research, the properties of UWB channel for indoor industrial environment
was evaluated. A few indoor channel models have been studied so far for
different environments but not for indoor industrial environment and various
data rates are obtained according to wireless channel environments.
Therefore, an accurate channel model is required to determine the maximum
achievable data rate. In this thesis, we have proposed a channel model for
indoor industrial environment considering the scattering coefficient along with
the other multipath gain coefficient. This thesis addresses scattering effect
while modeling UWB channel. Here, the performance of UWB channel model
is analyzed following the parameters, such as power delay profile and the
temporal dispersion properties which are also investigated in this paper.Kazi Afrina YasmeenA. K. M. WahiduzzamanMD. Ahamed ImtiazB. Computer Science and Engineerin
Rethinking the Tradeoff in Integrated Sensing and Communication: Recognition Accuracy versus Communication Rate
Integrated sensing and communication (ISAC) is a promising technology to
improve the band-utilization efficiency via spectrum sharing or hardware
sharing between radar and communication systems. Since a common radio resource
budget is shared by both functionalities, there exists a tradeoff between the
sensing and communication performance. However, this tradeoff curve is
currently unknown in ISAC systems with human motion recognition tasks based on
deep learning. To fill this gap, this paper formulates and solves a
multi-objective optimization problem which simultaneously maximizes the
recognition accuracy and the communication data rate. The key ingredient of
this new formulation is a nonlinear recognition accuracy model with respect to
the wireless resources, where the model is derived from power function
regression of the system performance of the deep spectrogram network. To avoid
cost-expensive data collection procedures, a primitive-based autoregressive
hybrid (PBAH) channel model is developed, which facilitates efficient training
and testing dataset generation for human motion recognition in a virtual
environment. Extensive results demonstrate that the proposed wireless
recognition accuracy and PBAH channel models match the actual experimental data
very well. Moreover, it is found that the accuracy-rate region consists of a
communication saturation zone, a sensing saturation zone, and a
communication-sensing adversarial zone, of which the third zone achieves the
desirable balanced performance for ISAC systems.Comment: arXiv admin note: text overlap with arXiv:2104.1037
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