Boonsrimuang, Pisit

Preferred name

Boonsrimuang, Pisit

Alternative Name

Boonsrimuang, P.

Main Affiliation

School of Engineering

pisit.bo@kmitl.ac.th

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An Effective Channel Estimation for Massive MIMO–OFDM System
(2020-09-01)
Mata, Tanairat
;
Boonsrimuang, Pisit
The massive Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO–OFDM) system provides a high data transmission for the next generation mobile communication i.e. 4G, 5G, etc. In the practical MIMO–OFDM system, N points of IFFT/FFT is larger than M data subcarriers (N> M) in each OFDM symbol to reject the aliasing after D/A converter. To demodulate information data, the channel responses for all MIMO channel links need to be estimated so as to employ in MIMO data detection for demodulation at the receiver. The discrete Fourier transform estimator (DFE) was proposed for the system which can estimate the MIMO channels accurately when N= M. However, its accuracy will be hugely degraded when N> M because of the oversampling of data transmission. To improve the estimation accuracy when N> M, the maximum likelihood estimator (MLE) was proposed for the system which can achieve higher estimation accuracy than that of the DFE. However, its accuracy will be degraded a lot in the massive MIMO–OFDM system when N> M, due to the estimation error increased in proportion to the increasing of N<inf>T</inf> transmit antennas. To solve these problems, this paper proposes a direct time-domain estimator (DTE) with preamble symbol with scattered-pilot (preamble-SCP) for the massive MIMO–OFDM system when N> M. In the proposed method, it is presented with three salient features; achieving higher estimation accuracy with keeping almost the same computational complexity as the conventional estimators, improving Bit- Error- Rate (BER) with low-complexity MIMO data detection, and providing higher transmission data rate compared with the MLE. Using the normalizedMSE, BER and throughput evaluated by computer simulations, it can be verified that the proposed DTE with preamble-SCP obviously provides higher estimation accuracy, better BER with low-complexity MIMO data detection, and much higher transmission data rate which is approximately 32.5 Mbps gain over the MLE at 5 MHz-BW respectively.
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Proposal of channel estimation method for bi-directional OFDM based ANC in higher time-varying fading channel
(2014-01-01)
Mata, Tanairat
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Naito, Katsuhiro
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Mori, Kazuo
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Boonsrimuang, Pisit
;
Kobayashi, Hideo
Broadband Analog Network Coding (ANC) based on OFDM has been widely investigated to increase capacity of bi-directional relay communications. The broadband ANC based on OFDM technique is required to estimate channel frequency responses (CFRs) between both user terminals (UTs) and a relay station (RS) precisely so as to remove the self-information data from the received signal and to demodulate the other user's information data with frequency equalization. Many channel estimation methods have been proposed for the OFDM based broadband ANC. However bit error rate (BER) performance of these methods would be degraded relatively in higher time- varying fading channels due to the inaccurate estimation of CFR. To solve this problem, this paper proposes a CFR estimation method which can achieve better BER performance with keeping higher transmission efficiency even in higher time-varying fading channels. The salient features of proposed CFR estimation method are to enable the estimation of combined CFR at the UT for both channels between the UTs and RS by using scattered pilot subcarriers and to enable the demodulation of information data without feedback information of CFR estimated at the RS. This paper presents various simulation results in the higher time-varying fading channels to demonstrate the effectiveness of proposed CFR estimation method for the bi-directional OFDM based ANC.
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Iterative based time domain equalization method for OFDM signal under high mobile environments
(2014-01-23)
Reangsuntea, Pongsathorn
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Mori, Kazuo
;
Kobayashi, Hideo
;
Boonsrimuang, Pisit
A loss of subcarrier orthogonality in orthogonal frequency division multiplexing (OFDM) signal due to time-varying multipath fading channel causes an inter-carrier interference (ICI) which would lead fatal degradation of bit error rate (BER) performance. To solve this problem, this paper proposes a high accuracy time domain channel impulse response (CIR) estimation method and a time domain equalization (TDE) method of using estimated CIR at every sampling time in conjunction with a low-complexity iterative method instead of using an inverse matrix calculation. The salient feature of proposed method is to employ a time-domain training sequence (TS) for the estimation of CIR at every sampling time and low-complexity iterative method for solving the simultaneous equations which are required in the TDE method. This paper presents various simulation results to demonstrate the effectiveness of proposed TDE method as comparing with the conventional frequency domain equalization (FDE) method.
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A PAPR Reduction for FBMC-OQAM Signals using ABC-OPTS Scheme
(2019-04-29)
Boontra, Pitchaya
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Mata, Tanairat
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Dataesatu, Arif
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Mori, Kazuo
;
Boonsrimuang, Pisit
Partial Transmit Sequence (PTS) scheme has been applied to the OFDM signal for solving the high PAPR problem which can achieve better PAPR performance. However, because of the structure of the FBMC-OQAM signal which is different from the OFDM signal, the PTS scheme is not suitable for the FBMC-OQAM signal. For this reason, this paper considers the PAPR reduction for FBMC-OQAM signal. This paper proposes an overlapped PTS (OPTS) with Artificial Bee Colony (ABC) algorithm. The silent features are to improve the PAPR by modifying the PTS scheme as OPTS scheme and less computational complexity in the PAPR optimization process by using the ABC algorithm. The PAPR reduction effectiveness of the proposed method has been confirmed by the simulation results in the paper.
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Design MRAC PID control for fan and plate process
(2011-01-01)
Kungwalrut, Pranai
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Thumma, Maitree
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Tipsuwanporn, Vittaya
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Numsomran, Arjin
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Boonsrimuang, Pisit
This paper presents the method to achieve the design MRAC PID control for fan and plate process. The fan and plate process is another challenged problem for control system design because it has non-linearity characteristic and highly sensitivity for ambient disturbance. Thus tuning of PID parameter performs hardly by root locus or trial & error method. The proposed method presents design methodology of auto-adjustable PID controller using MRAC technique for solving the problems. The adjustable PID parameters corresponding to changes in plant and disturbance will be determined by referring to the reference model specifying the properties of desired control system. Therefore, this technique is convenient to control the process for satisfying the requirement of the system performance. © 2011 SICE.
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Improved PTS method with new weighting factor technique for FBMC-OQAM systems
(2017-03-29)
Hanprasitkum, Amnart
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Numsomran, Arjin
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Boonsrimuang, Pornpawit
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Boonsrimuang, Pisit
Filter bank multi-carrier (FBMC) with offset quadrature amplitude modulation (OQAM) has been regarded as one of the candidates for next generation broadband wireless communication systems. Similar to OFDM systems, one of the major drawbacks in FBMC-OQAM systems is high peak-to-average power ratio (PAPR). To overcome this problem, Partial Transmit Sequence (PTS) method is a well - known method which can reduce the peak-to-average ratio (PAPR) for a multicarrier modulation signal. The PTS method can improve PAPR reduction performance very well as increasing the number of predetermined discrete phase factors and number of clusters. However, the side information is proportioned increasing as increased number of predetermined discrete phase factors or/and clutters that it is required to inform to the receiver for recovering the original data. In this paper, we propose the new discrete phase factor pattern which can improved the PAPR reduction performance better than conventional PTS method. This paper presents various computer simulation results to verify the effectiveness of proposed method.
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Proposal of PAPR reduction method for OFDM signal by re-ordering of clusters
(2013-01-01)
Mata, Tanairat
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Naito, Katsuhiro
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Mori, Kazuo
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Kobayashi, Hideo
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Boonsrimuang, Pisit
One of the major disadvantages of OFDM technique is the high PAPR in the time domain signal. The larger PAPR signal would cause the fatal degradation of BER performance and un-desirable spectrum regrowth in the nonlinear channel. One of the promising PAPR reduction methods is the Partial Transmit Sequence (PTS) method which can achieve better PAPR performance with reasonable computation complexity. But the PTS method is required to inform the side information to the receiver for the correct demodulation of data information by using the separate channel. To solve the above problem, this paper proposes a new PAPR reduction method without requiring the separate channel. The salient feature of the proposed method is to reduce the PAPR performance by reordering of clusters in the frequency domain at the transmitter and reconstructing the clusters by using the cluster ID under embedded in the data information at the receiver. The proposed method can achieve almost the same PAPR performance and computation complexity as those for the PTS method without requiring the transmission of side information. This paper presents various computer simulation results to verify the effectiveness of the proposed method. © 2013 IEEE.
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A Deep Learning-Based Channel Estimation for High-Speed Train Environments
(2022-01-01)
Siriwanitpong, Aphitchaya
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Boonsrimuang, Pornpawit
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Mori, Kazuo
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Boonsrimuang, Pisit
A communication system in the railway track environment provides constant channel coefficient property as trains travel on a predetermined route and speed. This channel characteristic provides advantages in designing a channel estimation. This paper proposes a channel estimation algorithm based on a deep learning network called the Convolutional Neural Network (CNN). The CNN has trained with an average Channel Frequency Response (CFR) dataset on railway track environments with different multi-path fading and noises. The CFR can be estimated using a known pilot symbol as conventional methods. The estimated CFR is also used to select the right CFR for multi-path fading compensation. The CNN will then classify the estimated CFR by recognizing estimated channel characteristics and determining the most matched estimated channel for equalization of received signals in a data channel. The simulation results show that the performance of the deep learning algorithms outperforms that of the conventional algorithms. Furthermore, the proposed method delivers better Bit Error Rate (BER) performance since the deep learning-based channel estimation can categorize the features of the channel characteristics with different multi-path and doppler shifts.
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Time domain channel estimation method for uplink OFDMA system
(2015-06-16)
Mata, Tanairat
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Hourai, Mio
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Mori, Kazuo
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Kobayashi, Hideo
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Boonsrimuang, Pisit
Orthogonal Frequency Division Multiple Access (OFDMA) is considered as one of promising wireless access techniques which can accommodate multiple users flexibly and efficiently. In the uplink OFDMA system, it is required to estimate all users' channel frequency responses (CFRs) simultaneously which are used in the equalization for the data information at the base station (BS). To realize this requirement, the Discrete Fourier Transform interpolation based channel estimation (DFTI-CE) method was proposed in which all users transmit one scattered pilot symbol to the BS at the same time. The DFTI-CE method can achieve higher estimation accuracy for all users' CFRs only when the number of FFT points is equal to the number of data subcarriers which corresponds to the Nyquist rate. However the CFR estimation accuracy would be degraded in the actual OFDM system at the non-Nyquist rate in which null subcarriers (zero padding) are added at both ends of OFDM data subcarrier to reject the aliasing occurring at the output of digital to analogue (D/A) converter. To solve this problem, this paper proposes a time domain channel estimation (TD-CE) method which can achieve higher estimation accuracy even at the non-Nyquist rate. This paper presents various simulation results for the uplink OFDMA system in the time-varying fading channels to demonstrate the effectiveness of proposed estimation method.
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Traffic forecasting and navigation assistance system via web application
(2007-12-01)
Meemongkol, Amnat
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Numsomran, Arjin
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Tipsuwannaporn, Vittaya
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Boonsrimuang, Pisit
This paper presents a model of Traffic Forecasting and Navigation Assistance System via Web Application which provides guidance information to drivers for the efficient route planning. Traffic Forecasting and Navigation Assistance System (TFNAS) consists of survey car with GPS module which has rolls of reading traffic information and sending the information to TFNAS Center via internet. TFNAS Center is the center of GPS database and traffic information processing system. It collects GPS information real-time, calculates the traffic density and sends the guidance information of the most effective route which has a least time of arrival to Front-end Devices, Smart Phone PDA Laptop, via Web Brower. © ICROS.

Boonsrimuang, Pisit

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