On multicarrier signals where the PMERPR of a random codeword is asymptotically log n

Multicarrier signals exhibit a large peak-to-mean envelope power ratio (PMEPR). In this correspondence, without using a Gaussian assumption, we derive lower and upper probability bounds for the PMEPR distribution when the number of subcarriers n is large. Even though the worst case PMEPR is of the o...

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Veröffentlicht in:IEEE transactions on information theory 2004-05, Vol.50 (5), p.895
Hauptverfasser: Sharif, Masoud, Hassibi, Babak
Format: Artikel
Sprache:eng
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Zusammenfassung:Multicarrier signals exhibit a large peak-to-mean envelope power ratio (PMEPR). In this correspondence, without using a Gaussian assumption, we derive lower and upper probability bounds for the PMEPR distribution when the number of subcarriers n is large. Even though the worst case PMEPR is of the order of n, the main result is that the PMEPR of a random codeword C = (c1, . . . , cn) is log n with probability approaching one asymptotically, for the following three general cases: i) ci's are independent and identically distributed (i.i.d.) chosen from a complex quadrature amplitude modulation (QAM) constellation in which the real and imaginary part of ci each has i.i.d. and even distribution (not necessarily uniform), ii) ci's are i.i.d. chosen from a phase-shift keying (PSK) constellation where the distribution over the constellation points is invariant under 7r / 2 rotation, and iii) C is chosen uniformly from a complex sphere of dimension n. Based on this result, it is proved that asymptotically, the Varshamov-Gilbert (VG) bound remains the same for codes with PMEPR of less than log n chosen from QAM/PSK constellations. [PERIODICAL ABSTRACT]
ISSN:0018-9448
1557-9654