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
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2059550