Now showing 1 - 10 of 16
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    Detection of data symbol in a massive MIMO systems for 5G wireless communication
    The massive MIMO technique has played the most important role in 5G wireless communication. It is anticipated that the new techniques employed in massive MIMO will not only improve peak service data rates significantly, but also enhance capacity, coverage, low-latency, efficiency flexibility, compatibility and convergence, thus meeting the focusing demands imposed by optimal detection. This paper presents the optimal detection of data symbol in massive MIMO for 5G wireless communication. Based on the frequency non-selective fading MIMO channel, we consider three difference detectors for recovering the transmitted data symbols and evaluate their performance for Rayleigh fading and additive white Gaussian noise (AWGN). At the results, we show that the probability of error rate (PER) performance of the detectors are significantly discussed.
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    Multipath interference cancellation in multiantenna system with blind channel estimation method
    This paper describes on evaluating performance of blind channel estimation methods to cancel the multipath interference from a severity of channel measurement. The proposed methods are considered in an optimal receiver behind the multiantenna system that provides by approaching a zero-forcing (ZF) and minimum mean square error (MMSE) based on the blind signal processing techniques. In this paper, we measured the 4 × 4 MIMO calibration kit with 2.45 GHz sleeve monopole array antennas and employed a vector network analyzer (VNA) to make of channel sounding. The measurement results after data processing is demonstrated by a realistic received signal and we point out how to evaluate the multipath interference with the proposed methods. For the MIMO multiantenna system, we guarantee that the proposed blind channel estimation methods helps to cancel the multipath fading channel and maintains an uncertainty of receiving signals in multiantenna system as perfectly.
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    Experimental evaluation of received signal using blind channel estimation for RFID system via MIMO antenna
    (2014-01-01)
    Promkeeree, Theerapat
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    ;
    In this paper, we investigate an evaluation of the received signal by using blind channel estimation for radio frequency identification (RFID) system via multiple input multiple output (MIMO) antenna. This method is based on higher order statistic of the received signal to estimate the ambiguity of MIMO antenna. The advantage of blind channel estimation is shown that to achieve the severe of multipath interference, when employed the zero-forcing (ZF) and the minimum mean square error (MMSE) at the receiver. The measurement result is illustrated that the signal verified and estimated of the received signal have been compared. This technique is a novel of signal processing on designing of RFID reader based on MIMO antenna will be utilized. © 2014 IEEE.
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    Analysis of Bottomside Thickness Parameter-Based TEC at Equatorial and Low Latitude Stations for Global Navigation Satellite Systems
    (2018-07-02) ; ;
    Tangtrakunphaisan, Udomsit
    This paper studies the total electron content (TEC) at equatorial and low latitude stations which is computed using an equation of bottomside thickness parameter with correction factor (B2botP-new) during the solar maximum of 24th solar cycle. The computed TEC is used to compute the ionospheric time delay subsequent-tially. The ionospheric stations in this work include Ramey, Ascension Island, and Jicamarca. The results show that the diurnal and seasonal variations of B2botP-new have the same trends as that of B0-obs as well as the B2botP-new values are close to the BO-obs values clearly for all three stations. The electron density diffuses from the equator toward the EIA region (15°N and 15°S) during the period of 14-23 LT. The proposed TEC (TEC-P) are computed using the B2botP-new, and then the ionospheric delay is also computed using the TEC-P. The computed TEC-P and Id-P are close to the TEC-obs and Id-obs, but they should be further studied for a solar cycle (11 years).
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    Quantitative Measurement of Path Loss Model Adaptation Using the Least Squares Method in an Urban DVB-T2 System
    (2018-01-01)
    Keawbunsong, Pitak
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    ; ;
    The aim of this paper was to propose quantitative measurement of path loss model adaptation in urban radio propagation for a second-generation, terrestrial digital video broadcasting standard (DVB-T2) system. The measurement data was analyzed using data processing based on the least squares (LS) method to verify the probabilistic quantitation of realistic data measurement such as mean error (ME), root mean square error (RMSE), and standard deviation of error (SD), as well as relative error (RE). To distinguish the experimental evaluation, the researchers compared between the conventional Hata path loss model and the proposed model. The result showed that path loss based on the proposed model was more accurate in predicting the quantitative measurement of propagation data properly.
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    Performance Analysis of Power Outage Probability for Drone based IoT Connectivity Network
    (2019-12-01) ;
    Chusongsang, Anna
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    In this paper, we present a performance analysis of power outage probability of using on drone communicated with an internet of things (IoT) connectivity network. We obtain that there are several IoT devices are connected with a drone as simultaneously. Therefore, the power outage probability (POP) is analyzed based on the verifying of drone height which ensures the best performance in term of connectivity network. Experimental results confirm that this analysis is very useful for drone usage as drone small cell or hot-spot to distribute the transmitting power to coverage all IoT devices.
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    Performance Comparison of OFDM-QAM and FBMC-QAM Filtered in Multi-User Massive MIMO Channel Characterization
    (2018-07-02)
    Teekapakvisit, Chakree
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    The current 4G standard or long-term evolution (LTE) system is based on the use of orthogonal frequency division multiplexing-quadrature amplitude modulation (OFDM-QAM) for the downlink and uplink communications. OFDM is an orthogonal block transmission scheme which, in the presence of multi-path fading channels, plain orthogonal multicarrier modulation formats are not able to maintain orthogonality due to inter-symbol interference (ISI) among consecutive multicarrier symbols. A new modulation format is a filter bank multicarrier (FBMC). In this paper, we compare a performance of OFDM-QAM and FBMC-QAM to filter the ISI problem at the receiver. We evaluate the performance under the assumption of multiuser massive MIMO channel as a simplicity. The experimental results are depicted with eye-diagrams and the performance of bit error rates (BERs). As the result, the FBMC-QAM is a potential successor of the dominant OFDM-QAM where BER is acceptable with no ISI and it is definitely a promising modulation to use in 5G signal processing.
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    A Study of Air Pollution Smart Sensors LPWAN via NB-IoT for Thailand Smart Cities 4.0
    (2018-08-06) ;
    Takarn, Aekarong
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    Nujankaew, Rachan
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    The problem of air pollutant has to improve urgently, in particular, approach to smart city in 2024 of Thailand 4.0. This paper presents a development of smart sensors of air pollution to monitor the air quality in smart city. We propose the smart sensors that consist of the particulate matter (PM<inf>10</inf>) or dust sensor, carbon monoxide (CO), carbon dioxide (CO<inf>2</inf>), noise level (dB), and ozone (O<inf>3</inf>) respectively. These sensors are solution of a low power wide area network (LPWAN). In the experiment, the measurement has been investigated in Bangkok metropolitan, and the results show air quality index (AQI) via Norrowband Internet of Things (NB-IoT). The proposed of this paper can help the people know the real-time air quality via IoT as a service.
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    SINR performance using MIMO-CMA algorithms for RFID 2.45 GHz channel measurement
    This paper improves a degradation of signal-to-interference plus noise (SINR) performance for the multipath interference in radio frequency identification (RFID) channel. By using a multiple input multiple output-constant modulus algorithm (MIMO-CMA), a zero-forcing (ZF) and a minimum mean square error (MMSE) criterion is resolved by the conventional CMA, supervised (S-CMA) and variable step size (VSS-CMA). Therefore, the MIMO-CMA algorithms are carried out by the computer simulation and measured data. Our results confirmed that the SINR performance can be improved by using MIMO-CMA algorithms for RFID channel as a simplicity.
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    A RFID reader suppressive interferences due to multipath
    (2012-11-12) ;
    Theradio-frequency identification(RFID)are growingrapidly, especially at 2.45 GHz that is very high speed transmission for toll collection. In addition, there are many problems from the effects of interference due to multipath fading, which leading to bandwidth limitation and channel distortion. Consequently, the rapidly signal processing of RFID reader could be still lacks the demands on improvement. The interference cancelation is proposed by using the blind filtering equalization on previously. In this paper, we proposed the suppressive interfering due to multipath rician fading chanenl based on the successive interference cancellation (SIC) technique for improve the convergence of the constant modulus (CM) algorithm. Also as the result, the quantitative evaluation of mitigate interferences are shown.