Robust Optimal PSO based Wavelet Feature Selection in MIMO OFDM Systems
Sruthi S1, Suma Sekhar2, Sakuntala S Pillai3
1Sruthi S, Department of Electronics and Communication, LBS Institute of Technology for Women, Thiruvananthapuram (Kerala), India.
2Suma Sekhar, Department of Electronics and Communication, LBS Institute of Technology for Women, Thiruvananthapuram (Kerala), India.
3Sakuntala S Pillai, Department of Electronics and Communication, Mar Baselios College of Engineering and Technology, Thiruvananthapuram (Kerala), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 265-268 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4237084615/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Orthogonal Frequency Division Multiplexing (OFDM) when combined with multiple-input multiple output (MIMO) technology offers attractive bandwidth efficiency and higher link reliability in future 4 G wireless technologies. However the major disadvantage of OFDM is, the signals transmitted through multiple antennas suffer from high peak to average power ratio (PAPR) which affects the transmission efficiency. A scheme for PAPR reduction in wavelet packet OFDM based on discrete cosine harmonic wavelet packet transform (DCHWPT) using particle swarm optimization (PSO) is proposed. The optimization technique selects a best wavelet tree from fully decomposed wavelet packet tree structure with minimum PAPR is selected for transmission. Results show that PAPR is considerably reduced as the level of decomposition is increased for the wavelet packet structure.
Keywords: PAPR, MIMO, OFDM, DCHWP, BER, CCDF, PSO
Scope of the Article: Optimal Design of Structures