PAPR reduction in OFDM using scaled particle swarm optimisation based partial transmit sequence technique

Abstract

Partial transmit sequence (PTS) is one of the effective techniques for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. PTS technique has some issues such as higher computational complexity due to its exhaustive searching of optimal phase factors. In order to overcome this drawback, a scaled particle swarm optimisation algorithm is applied to PTS technique to find the optimal phase factors for reducing the PAPR at a faster convergence rate and lower computational complexity. A scaling factor has been introduced in the velocity updating equation of conventional particle swarm optimisation (PSO) to increase the inertia weight and velocity of the particle, thereby providing faster convergence to the optimum value as well as reducing PAPR effectively. From the simulation results obtained, it can be observed that the proposed scaled PSO-PTS algorithm reduces PAPR effectively and is most suitable for applications with the 64-QAM modulation scheme.

Keywords

• OFDM modulation
• quadrature amplitude modulation
• particle swarm optimisation
• computational complexity
• scaled PSO-PTS algorithm
• PAPR effectively
• inertia weight
• conventional particle swarm optimisation
• velocity updating equation
• scaling factor
• lower computational complexity
• faster convergence rate
• scaled particle swarm optimisation algorithm
• optimal phase factors
• exhaustive searching
• higher computational complexity
• PTS technique
• (OFDM) systems
• orthogonal frequency division
• peak-to-average power ratio
• effective techniques
• partial transmit sequence technique
• PAPR reduction