Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86097101" target="_blank" >RIV/61989100:27240/11:86097101 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949853" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949853</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEC.2011.5949853" target="_blank" >10.1109/CEC.2011.5949853</a>

Result language
angličtina
Original language name
Peak-to-average power ratio reduction in OFDM systems using an adaptive differential evolution algorithm
Original language description
rthogonal Frequency Division Multiplexing (OFDM) has emerged as very popular wireless transmission technique in which digital data bits are transmitted at a high speed in a radio environment. But the high peak-to-average power ratio (PAPR) is the major setback for OFDM systems demanding expensive linear amplifiers with wide dynamic range. In this article, we introduce a low-complexity partial transmit sequence (PTS) technique for diminishing the PAPR of OFDM systems. The computational complexity of theexhaustive search technique for PTS increases exponentially with the number of sub-blocks present in an OFDM system. So we propose a modified Differential Evolution (DE) algorithm with novel mutation, crossover as well as parameter adaptation strategies(MDE-pBX) for a sub-optimal PTS for PAPR reduction of OFDM systems. MDE-pBX is utilized to search for the optimum phase weighting factors and extensive simulation studies have been conducted to show that MDE-pBX can achieve lower PAPR as
Czech name
—
Czech description
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Project
<a href="/en/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2011 IEEE Congress of Evolutionary Computation, CEC 2011
ISBN
978-1-4244-7834-7
ISSN
—
e-ISSN
—
Number of pages
9
Pages from-to
1941-1949
Publisher name
IEEE
Place of publication
New York
Event location
New Orleans
Event date
Jun 5, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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