DocumentCode
1637018
Title
Adaptive modulation for OFDM system using fuzzy logic interface
Author
Sastry, Seshadri K. ; Babu, Prasad M S
Author_Institution
Dept. of CS&SE, Andhra Univ., Visakhapatnam, India
fYear
2010
Firstpage
368
Lastpage
371
Abstract
As the demand of high quality service in next generation wireless communication systems increases, a high performance of data transmission requires an increase of spectrum efficiency and an improvement of error performance in wireless communication systems. One of the promising approaches to 4G is adaptive OFDM (AOFDM). In AOFDM, adaptive transmission scheme is employed according to channel fading condition with OFDM to improve the performance Adaptive modulation system is superior to fixed modulation system since it changes modulation scheme according to channel fading condition. Performance of adaptive modulation system depends on decision making logic. Adaptive modulation systems using hardware decision making circuits are inefficient to decide or change modulation scheme according to given conditions. Using fuzzy logic in decision making interface makes the system more efficient. In this paper, we propose a OFDM system with adaptive modulation using fuzzy logic interface to improve system capacity with maintaining good error performance. The results of computer simulation show the improvement of system capacity in Rayleigh fading channel.
Keywords
4G mobile communication; OFDM modulation; Rayleigh channels; adaptive modulation; fuzzy logic; quality of service; 4G communication; AOFDM system; Rayleigh fading channel; adaptive OFDM system; adaptive modulation system; adaptive transmission scheme; computer simulation; decision making logic; error performance; fixed modulation system; fuzzy logic interface; hardware decision making circuits; high-quality service; next generation wireless communication systems; orthogonal frequency division multiplexing; spectrum efficiency; Adaptation model; Adaptive systems; Bit error rate; Fuzzy logic; Modulation; OFDM; Signal to noise ratio; Adaptive modulation; fuzzy logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6054-0
Type
conf
DOI
10.1109/ICSESS.2010.5552368
Filename
5552368
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