Adaptive modulation for OFDM system using fuzzy logic interface

Sastry, K. Seshadri; Babu, M. S. Prasad

doi:10.1109/icsess.2010.5552368

Cited by 14 publications

(8 citation statements)

References 17 publications

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“…The bit error rate analysis is carried out with various modulation techniques and indicated that rayleigh fading channel is more suitable for multipath propagation of the signal [23][24][25]. Adaptive modulation is incorporated to improve the signal quality and performance of the wireless system [15][16][17][18].…”

Section: Related Workmentioning

confidence: 99%

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Least Square Channel Estimation for Image Transmission with OFDM Over Fading Channel

S.¹,

Mahesh²

2020

IJCNC

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Wireless communication is the most effective communication to convey audio or video information among the population. It enables the masses to connect throughout the world. Wireless technologies improve the lifestyle of individuals in rural and poor communication areas. In this view, the quality of a reliable signal can be enhanced by minimizing carrier interference. In this paper bit error rate of an image, signal is transmitted over fading channel is analyzed using orthogonal frequency multiplexing and channel estimation technique. An Orthogonal Frequency Multiplexing (OFDM) provides prominent bandwidth effectiveness and improved immunity to the fading environments. In OFDM, the data is modulated using multiple numbers of subcarriers that are orthogonal to each other. A cyclic prefix is infixed between OFDM symbols to annihilate the inter symbol interference (ISI) and inter-carrier interference (ICI). The least square channel estimation method is used to minimize the effect of multipath fading. An image, signal is modulated using BPSK, QPSK, 16QAM and 64QAM digital modulation schemes with OFDM and channel estimation and transmitted over AWGN and fading channel. The objective of this work is to improve the signal to noise ratio by reducing interference. The bit error rate vs. signal to noise ratio for BPSK, QPSK, 16QAM and 64QAM without channel estimation at 5dB is 0.4948, 0.4987, 0.4965 and 0.4983 and with channel estimation is 0.099, 0.2600, 0.3900 and 0.4300 respectively. The bit error rate obtained with BPSK, QPSK, 16QAM and 64QAM without channel estimation at SNR of 10dB is 0.4964, 0.4985, 0.4957 and 0.4982 and with channel estimation is 0.033, 0.19, 0.34 and 0.38 respectively. The bit error rate obtained with BPSK, QPSK, 16QAM and 64QAM without channel estimation at SNR of 15dB is 0.4938, 0.4985, 0.4953 and 0.4979 and with channel estimation is 0.0072, 0.1900, 0.3241 and 0.3762 respectively. The error rate is minimized with channel estimation. The error rate increases with the order of modulation and it is noticed that the error rate is minimum with the BPSK modulator and is maximum with 64QAM.

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Section: Related Workmentioning

confidence: 99%

“…First section briefs about the introduction part. In the second section of this paper, BPSK, QPSK, QAM modulator and demodulator are discussed with the block diagram [13][14][15][16][17][18][19]. In the third section OFDM system and methodology incorporated for image, transmissions are talked over.…”

mentioning

confidence: 99%

Least Square Channel Estimation for Image Transmission with OFDM Over Fading Channel

S.¹,

Mahesh²

2020

IJCNC

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“…Many types of equipment are available remotely and are controlled by wireless. Since radio frequency is the only spectrum that provides wireless communication between transmitter and receiver, and because of the growing number of users in the radio spectrum, it is not possible to add additional users [1,2].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Logic to Cognitive Wireless Communications

Trrad¹,

Smadi²,

Al_Wahshat³

2019

IJRTE

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This paper mainly studies data transmission Rate (DTR) in the of fuzzy logic in on Cognitive wireless modern communication improving the use of the radio frequency spectrum and the degree of intelligence of network and subscriber equipment, In this regard, The use of methods of cryptographic protection of information with a public key are convenient in that they do not require an additional communication channel for the exchange of a private key between the sender and the recipient However, they often rely on complex mathematical calculations and usually much less effective than c cryptosystems on a symmetric key. In this article we will focus on implementation of fuzzy logic methods for asymmetric encryption key. Fuzzy logic, in this case, is a problem solving methodology for data transfer that can find its application in various systems. In the present article deals with the encryption method using the theory of fuzzy sets technology of constructing cognitive wireless data transmission systems (WDTS) use of fuzzy logic and fuzzy controllers, Systems а demand of high quality transmission increasing of transmission data speed.

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“…Many algorithms require the knowledge of SNR for their optimal performance. In data-aided (DA) SNR estimation also known as pilot symbol assisted modulation (PSAM), SNR of the signal through rapid fading environment is detected by periodically inserting known symbols [1], from which the receiver derives its amplitude and phase reference. However, the training sequence limits system throughput rate.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Clustering Based Blind Adaptive OFDM System

Twayana

Joshi

2016

J. Adv. Coll. Engin. Mgt.

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This paper present blind adaptive modulation for OFDM system. Automatic recognition of the modulation level of detected signal and blind estimation of SNR is a major task of an intelligent receiver presented here. In this paper, modulation classification is performed by fuzzy c-means clustering followed by new approach of modulation classification, fuzzy template matching considering the constellation of the received signal. In addition, SNR estimation and modulation order for the next transmission is carry out by Fuzzy Logic Interface based upon heuristics. The simulation that has been conducted shows high capability of recognition of modulation level, almost perfect estimation of SNR and adaptive with considerable BER in an Additive White Gaussian Noise channel. The performance of proposed system is simulated in computer simulation tool, MATLAB 7.0.Journal of Advanced College of Engineering and Management, Vol.1, 2015, pp. 51-58

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Adaptive modulation for OFDM system using fuzzy logic interface

Cited by 14 publications

References 17 publications

Least Square Channel Estimation for Image Transmission with OFDM Over Fading Channel

Least Square Channel Estimation for Image Transmission with OFDM Over Fading Channel

Application of Fuzzy Logic to Cognitive Wireless Communications

Fuzzy Clustering Based Blind Adaptive OFDM System

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