An introduction to differential evolution
New ideas in optimization
OFDM for Wireless Multimedia Communications
OFDM for Wireless Multimedia Communications
Journal of Global Optimization
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
EURASIP Journal on Wireless Communications and Networking - Intelligent Systems for Future Generation Wireless Networks
Differential evolution algorithm with strategy adaptation for global numerical optimization
IEEE Transactions on Evolutionary Computation
A PAPR reduction method based on artificial bee colony algorithm for OFDM signals
IEEE Transactions on Wireless Communications
Existence of codes with constant PMEPR and related design
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing - Part I
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
On partial transmit sequences for PAR reduction in OFDM systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Evolutionary Computation
Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
IEEE Transactions on Evolutionary Computation
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatic Clustering Using an Improved Differential Evolution Algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Upper bounds on the statistical distribution of the crest-factor in OFDM transmission
IEEE Transactions on Information Theory
Low-complexity PAR reduction schemes using SLM and PTS approaches for OFDM-CDMA signals
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
IEEE Communications Magazine
Hi-index | 0.00 |
A low-complexity partial transmit sequence (PTS) technique for reducing the peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing signal is presented. However, the conventional PTS scheme requires an exhaustive searching over all combinations of allowed phase factors. Consequently, the computational complexity increases exponentially with the number of the subblocks. This paper presents a novel approach to the PAPR problem to reduce computational complexity based on the relationship between phase weighing factors and transmitted bit vectors. In this paper, we aim to obtain the desirable PAPR reduction with the low computational complexity. Since the process of searching the optimal phase factors can be categorized as combinatorial optimization with some variables and constraints, we propose a novel scheme, which is based on a stochastic optimization technique called modified differential evolution, to search the optimal combination of phase factors with low complexity. To validate the analytical results, extensive simulations have been conducted, showing that the proposed schemes can achieve significant reduction in computational complexity while keeping good PAPR reduction.