DocumentCode :
1718393
Title :
A pre-estimated resource allocation algorithm based on cognitive OFDM for multi-user
Author :
Sun, Dawei ; Zheng, Baoyu
Author_Institution :
Inst. of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Volume :
1
fYear :
2010
Abstract :
Multi-user cognitive orthogonal frequency division multiplexing (C-OFDM) is an extremely promising technique for achieving high transmission capacity in the next generation cellular and wireless local area network (WLAN) systems with limited spectrum resources. And a proportional fairness subcarriers allocation algorithm based on the margin adaptive (MA) principle is used to meet the rate fairness between users. This paper presents a new bit and power allocation scheme for C-OFDM systems based on the margin adaptive (MA) principle in which the overall transmission power is minimized by constraining the fixed data rate and bit error rate. Simulation results show that the proposed algorithm is superior to the traditional algorithm, while reducing the computational complexity from exponential to linear in the number of sub-carriers.
Keywords :
OFDM modulation; cellular radio; computational complexity; error statistics; resource allocation; wireless LAN; WLAN; bit allocation; bit error rate; cognitive OFDM; computational complexity; limited spectrum resources; margin adaptive principle; multiuser cognitive orthogonal frequency division multiplexing; next generation cellular systems; power allocation; preestimated resource allocation algorithm; proportional fairness subcarrier allocation algorithm; wireless local area network; Algorithm design and analysis; Bit error rate; Bit rate; Computational complexity; OFDM; Resource management; Signal processing algorithms; Bit allocation; Cognitive OFDM; Computational complexity; Margin Adaptive; Rate fairness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555638
Filename :
5555638
Link To Document :
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