DocumentCode
1325132
Title
Convergence of the Complex Envelope of Bandlimited OFDM Signals
Author
Wei, Shuangqing ; Goeckel, Dennis L. ; Kelly, Patrick A.
Author_Institution
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA
Volume
56
Issue
10
fYear
2010
Firstpage
4893
Lastpage
4904
Abstract
Orthogonal frequency division multiplexing (OFDM) systems have been used extensively in wireless communications in recent years; thus, there is significant interest in analyzing the properties of the transmitted signal in such systems. In particular, a large amount of work has focused on analyzing the variation of the complex envelope of the transmitted signal and on designing methods to minimize this variation. In this paper, it is established that the complex envelope of a bandlimited uncoded OFDM signal converges weakly to a Gaussian random process as the number of subcarriers goes to infinity. This shows that the properties of the OFDM signal will asymptotically approach those of a Gaussian random process over any finite time interval. The convergence proof is then extended to two important cases, namely, coded OFDM systems and systems with an unequal power allocation across subcarriers.
Keywords
Gaussian processes; OFDM modulation; Gaussian random process; OFDM systems; bandlimited OFDM signals; orthogonal frequency division multiplexing; power allocation; transmitted signal; Baseband; Convergence; Encoding; Error correction; OFDM; Random processes; Wireless communication; Convergence; Gaussian random process; extreme value theory; orthogonal frequency division multiplexing (OFDM); peak-to-mean envelope power ratio;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2010.2059550
Filename
5571917
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