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Energy internet has received increasing attention as a promising solution for the widespread use of renewable energy resources in recent years. One of critical issues in energy internet communications is how to guarantee the desired quality of service(QoS) while numerous smart devices access the wireless network. In this paper, we study the problem of access scheduling for QoS guarantees under massive...
We have studied Chan-Taylor two-dimensional positioning algorithm and propose an innovative Chan-Taylor three-dimensional positioning algorithm. And we apply it to the indoor three-dimensional location problem based on wireless communication base station. According to the actual measurement of the coordinates of the 30 base stations and the value of time of arrival (TOA) between the 1100 mobile phone...
Speaker localization and counting in real-life conditions remains a challenging task. The computational burden, transmission usage and synchronization issues pose several limitations. Moreover, the physical characteristics of real speakers in terms of directivity pattern and orientation, as well as restrictions in the microphone array positioning, which commonly have to be placed close to walls, deteriorate...
Time-reversal (TR) transmission scheme has attracted more and more attention from both academia and industry due to its ability to focus the energy of a transmitted signal at an intended focal spot, both in the time and spatial domains. Based on the extensive data collected in the real world, we observe that the energy distribution around the focal spot is highly stationary and location-independent,...
The work in this manuscript proposes to enhance the secrecy level of wireless systems through the use of a jamming technique that uses uncorrelated reciprocal channel estimations from the legitimate channel as a common random source to select discrete jamming signals in both sides of the legitimate link. After that selection, these jamming signals are combined with data at the legitimate transmitter,...
Indoor systems cannot obtain a precise estimate of the location, due to unstable signals. In this paper, we use realistic wireless data from the IEEE International Conference on Data Mining (ICDM) dataset and Azure Machine Learning Studio to perform Bagging (also called bootstrap aggregating). By using the machine leaning technique in the Azure Machine Learning Studio, we can obtain more than 69 percent...
The conventional positioning systems require the users to carry an electronic device, which helps in the localization process. Device-free Passive Localization (DfPL) techniques are used to position the users in a passive manner such that they do not engage in the process. A typical DfPL setup comprises of Wi-Fi Access Points (APs) that transmit periodic signals to Monitoring Points (MPs). Any intrusion...
Electromagnetic field (EMF) distributions generated by a 4.4 GHz-band wireless transmitter used in Wireless Avionics Intra Communications (WAIC) technology inside an aircraft cabin are analyzed and fundamental propagation characteristics are discussed from the analysis results. This paper uses FDTD method and a large-scale parallel computing technique to achieve calculation of whole aircraft (Airbus...
Propagation characteristics have locality in a multipath fading environment. The locality is utilized for various techniques using radio wave. Recently, on the other hand, new techniques to break the locality have been studied. In the techniques, received signals at arbitrary locations are estimated from remote receiving points. We present in this paper a new estimation technique of received signals...
The validity of proposed SFG model was verified by comparing our theoretical results of S21, S11 to originally obtained values. We also introduced weighted averaging method to improve parameters estimation accuracy.
Transmission Control Protocol (TCP), a reliable stream delivery transport protocol performs well in wired network compared to the multi-hop wireless network. The multi-hop wireless networks have several distinct features like dynamic self-configuration and self-healing ability remains integrated with wireless internet that enhances its capability. The TCP implementation in multi-hop wireless network...
Beckmann distribution is a versatile mathematical model, which can be applied in performance analyses of radio frequency communications, free-space optical communications and underwater optical communications. However, the cumulative distribution function (CDF) of Beckmann distribution does not have a closed-form expression, which makes it challenging to derive closed-form outage probability expression...
Underwater wireless communication is greatly attractive to explore and develop because there is a vast unexploited area under the sea. Therefore, the effect of skew is not negligible when we use sound waves in water for wireless communication. For underwater sensor or cellular networks, some time synchronization protocols which consider the skew such as Time Synchronization for High Latency (TSHL)...
This paper presents the impact of signal linewidth on photonic THz wireless systems using phase estimation (PE) algorithms at the receiver. The penalty associated with signal linewidth, as well as the optical linewidth requirements for systems using free-running lasers are evaluated using extensive Monte Carlo simulations for different modulation formats. The BER performance and power penalty induced...
This paper proposes an improved cognitive radio system based on Wireless Statistic Division Multiplexing (WSDM) which is the modified version of the new-style cognitive radio system proposed by Li. The maximal user number is limited by the antenna number at receiver in Li's system. In this paper, we relax this limitation in multiplexing subsystem and propose a modified minimum description length (MDL)...
The demand for high speed, reliable communication using available frequency spectrum results in a new technology called OFDM. Channel estimation has a vital role in finding the effect of the channel on OFDM signal. In this work, performance analysis and implementation of pilot aided channel estimation is investigated. Different channel estimation methods like Least Square, Minimum mean Square Error...
Industrial systems demand high degree of reliability and real-time requirements in communications. To meet the stringent real-time performance requirements of control systems, there is a critical need for estimation system schedulability before system running. Concerning this issue, in this paper, we propose a supply/demand bound function analysis approach based on earliest deadline first scheduling...
Average travel speed for road sections is important information for traffic condition evaluation, transportation management, and so on. Vehicular crowdsensing can be used to collect data including real-time locations and velocities of vehicles, which can be further utilized to estimate travel speed. However, due to the uneven spatial-temporal distribution of vehicles and the variation of data-offering...
We derive for the first time closed-form expressions for the Cramér-Rao lower bounds (CRLBs) of the joint channel phase, and carrier frequency offset (CFO) estimates from turbo-coded (TC) Pulse-amplitude modulation (PAM) and rectangular-QAM (RQAM) modulated signals over flat-fading channels. After wisely exploiting the properties of Gray mapping, we are able to simplify the log-likelihood...
An optimized relaying method for multi-antennas cooperative networks, estimate-and-forward (EF) strategy for MIMO relay, is proposed and analyzed in this paper. According to our theoretical analysis, it performs like amplify-and-forward (AF) for the low signal noise ratio (SNR) region and behaves like detect-and-forward (DF) for the high SNR region. For the relay networks with a large number of antennas...
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