2,554 research outputs found
On the Peak-to-Mean Envelope Power Ratio of Phase-Shifted Binary Codes
The peak-to-mean envelope power ratio (PMEPR) of a code employed in
orthogonal frequency-division multiplexing (OFDM) systems can be reduced by
permuting its coordinates and by rotating each coordinate by a fixed phase
shift. Motivated by some previous designs of phase shifts using suboptimal
methods, the following question is considered in this paper. For a given binary
code, how much PMEPR reduction can be achieved when the phase shifts are taken
from a 2^h-ary phase-shift keying (2^h-PSK) constellation? A lower bound on the
achievable PMEPR is established, which is related to the covering radius of the
binary code. Generally speaking, the achievable region of the PMEPR shrinks as
the covering radius of the binary code decreases. The bound is then applied to
some well understood codes, including nonredundant BPSK signaling, BCH codes
and their duals, Reed-Muller codes, and convolutional codes. It is demonstrated
that most (presumably not optimal) phase-shift designs from the literature
attain or approach our bound.Comment: minor revisions, accepted for IEEE Trans. Commun
Complementary Sets, Generalized Reed-Muller Codes, and Power Control for OFDM
The use of error-correcting codes for tight control of the peak-to-mean
envelope power ratio (PMEPR) in orthogonal frequency-division multiplexing
(OFDM) transmission is considered in this correspondence. By generalizing a
result by Paterson, it is shown that each q-phase (q is even) sequence of
length 2^m lies in a complementary set of size 2^{k+1}, where k is a
nonnegative integer that can be easily determined from the generalized Boolean
function associated with the sequence. For small k this result provides a
reasonably tight bound for the PMEPR of q-phase sequences of length 2^m. A new
2^h-ary generalization of the classical Reed-Muller code is then used together
with the result on complementary sets to derive flexible OFDM coding schemes
with low PMEPR. These codes include the codes developed by Davis and Jedwab as
a special case. In certain situations the codes in the present correspondence
are similar to Paterson's code constructions and often outperform them
The correlation measures of finite sequences: limiting distributions and minimum values
Three measures of pseudorandomness of finite binary sequences were introduced
by Mauduit and S\'ark\"ozy in 1997 and have been studied extensively since
then: the normality measure, the well-distribution measure, and the correlation
measure of order r. Our main result is that the correlation measure of order r
for random binary sequences converges strongly, and so has a limiting
distribution. This solves a problem due to Alon, Kohayakawa, Mauduit, Moreira,
and R\"odl. We also show that the best known lower bounds for the minimum
values of the correlation measures are simple consequences of a celebrated
result due to Welch, concerning the maximum nontrivial scalar products over a
set of vectors.Comment: 19 pages, this version contains small changes taking into account
referee comment
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