Ant Colony Optimization
Journal of Signal Processing Systems
International Journal of Bio-Inspired Computation
A PAPR reduction method based on artificial bee colony algorithm for OFDM signals
IEEE Transactions on Wireless Communications
An improved ant colony optimisation and its application on multicast routing problem
International Journal of Wireless and Mobile Computing
A global best artificial bee colony algorithm for global optimization
Journal of Computational and Applied Mathematics
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
SLM and PTS peak-power reduction of OFDM signals without side information
IEEE Transactions on Wireless Communications
Using group-decided Watts-Strogatz particle swarm optimisation to direct orbits of chaotic systems
International Journal of Wireless and Mobile Computing
Dynamic packet fragmentation based on particle swarm optimised prediction
International Journal of Wireless and Mobile Computing
Joint cooperative analog network coding and OFDM system for wireless communication networks
International Journal of Wireless and Mobile Computing
A modified artificial bee colony algorithm with its applications in signal processing
International Journal of Computer Applications in Technology
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Orthogonal frequency division multiplexing OFDM is one of the most popular multi-carrier modulation techniques used in wireless communications and other applications. One of the major problems encountered in OFDM systems is the high peak to average power ratio PAPR of the transmitted signal, which will introduce nonlinear signal distortion and lead to high adjacent channel interference and make system performance worse. In this paper, a modified ABC-PTS artificial bee colony-partial transmit sequence PAPR reduction approach is proposed. Inspired by the idea of particle swarm optimisation algorithm, global best solution is introduced into the original ABC algorithm, and the updating equation is modified with the introduction of learning factor to consider the balance between the ability of exploration and exploitation of the algorithm. Simulation results have showed that the proposed approach has more reduction than the traditional ABC-PTS algorithm with the same time consuming while having lower bit error rate.