DocumentCode
2307505
Title
Adaptive Resource Allocation Algorithm Based on Sequence Strategy of Modulated MIMO-OFDM for UWB Communication System
Author
Liu Jie ; Wu Yiwen
Author_Institution
Dept. of Electron. & Inf., Wuhan Univ., Wuhan, China
Volume
1
fYear
2010
fDate
13-14 March 2010
Firstpage
424
Lastpage
427
Abstract
The next generation mobile communication-4G will support high data transmission rate and high frequency efficiency. In order to satisfy the future requirements of wireless access systems, UWB, IMO, OFDM are the most competitive technologies in future wireless communication systems. This paper describes the use of adaptive modulated multi-input multi-output orthogonal frequency division multiplexing to enable effective communications in UWB systems with low signal-to-noise requirements. On the research of adaptive power and bits allocation scheme in modulated MIMO-OFDM for UWB communication system, an adaptive resource allocation algorithm based on sequential allocation is proposed. The simulation results suggest that the scheme is much simpler and more practical than the optimal allocation scheme at the small expense of performance.
Keywords
MIMO communication; OFDM modulation; adaptive modulation; mobile communication; resource allocation; ultra wideband communication; UWB communication system; adaptive resource allocation algorithm; high data transmission rate; high frequency efficiency; modulated MIMO-OFDM; next generation mobile communication-4G; sequence strategy; sequential allocation; Adaptive arrays; Adaptive systems; Bit rate; Fading; Power system modeling; Resource management; Signal processing algorithms; Ultra wideband antennas; Ultra wideband communication; Wireless communication; Irrigation strategy; MIMO-OFDM; Sequence strategy; Ultra wideband; adaptive modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.820
Filename
5460269
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