Abstract
When generated Orthogonal Frequency Division Multiplexing (OFDM) signal is transmitted through a number of antennas in order to achieve diversity or cap any gain (higher transmission rate) then it is known as Multiple Input Multiple Output (MIMO)-OFDM. The full form of MIMO is multi input and multi output where signals are transmitted via multiple antennas instead of only one antenna like FDM. This technique has the potential of dramatic increase of data transmission in wireless environment. However, the transmitted signal still has high Peak-to-Average Power Ratio (PAPR) because of OFDM characteristics. The proposal algorithm in this study describes a new technique using Active Constellation Extension-Projection Onto Convex Sets (ACE-POCS) combined with the Particle Swarm Optimization (PSO) and Space Time Bloc Coding (STBC) for PAPR reduction. Apply the ACE-POCS technique and independently on each transmitted antenna, was effective to reduce PAPR, but converges slowly. Therefore, the Particle Swarm Optimization (PSO) was introduced to fight this slowness, by searching and well reducing the PAPR. Thanks of the PSO-ACE-POCS algorithm; the transmitted sequence was selected with best PAPR reduction over all transmission antennas. The results of simulation and BER performance show that the PSO-ACE-POCS method added to STBC minimizes the PAPR with a fast convergence and low computational complexity in comparison with the ACE-POCS method applied to STBC.
Highlights
Today’s communications require sending large volumes of data
When generated Orthogonal Frequency Division Multiplexing (OFDM) signal is transmitted through a number of antennas in order to achieve diversity or cap any gain it is known as Multiple Input Multiple Output (MIMO)-OFDM
The proposal algorithm in this study describes a new technique using Active Constellation Extension-Projection Onto Convex Sets (ACE-POCS) combined with the Particle Swarm Optimization (PSO) and Space Time Bloc Coding (STBC) for Peak-to-Average Power Ratio (PAPR) reduction
Summary
Today’s communications require sending large volumes of data. with the elevated use of wireless LAN technology and systems of third generation mobile telephony, demand for data services has never been greater. The bandwidth of wireless communication systems is generally limited by the cost. Ahmed Ouqour et al / Journal of Computer Science 8 (12) (2012) 2017-2024 of radio spectrum required. Any increase in bit rate through clever coding techniques and algorithms, makes the system more spectrally efficient and less costly without increasing bandwidth. In this way, traditional wireless communication systems have been made more spectrally efficient. The fundamental limitation of bandwidth does not change. To this end, several MIMO communication systems have been an interesting topic for research over the last years, because of their ability to dramatically increase the spectral efficiencies
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