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Capacity Maximizing Adaptive Subcarrier Selection in OFDM with Limited Feedback  

Mun Cheol (충주대학교정보통신공학과)
Jung Chang-Kyoo (충주대학교정보통신공학과)
Park DongHee (충주대학교정보통신공학과)
Kwak Yoonsik (충주대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.5, 2005 , pp. 905-911 More about this Journal
Abstract
We propose an efficient adaptive subcarrier selection scheme, in which the active subcarriers and their modulation and coding schemes (MCSs) are selected at the receiver, and subsequently conveyed to the transmitter using limited feedback We theoretically show that capacity maximization can be achieved by selecting subcarriers with highest signal-to-noise ratios (SNRs) and adapting the number of active subcarriers according to channel environments. Furthermore, an ordering based adaptive subcarrier selection algorithm is proposed to select the optimal active subcarriers with low complexity. Numerical results show that the proposed adaptive subcarrier selection scheme provides higher capacity than that obtained by water-filling approaches, even with limited feedback.
Keywords
MIMO; precoding; subspace method; limited feedback; spatial multiplexing;
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