Hybrid Evolutionary Algorithm Based on PSO to Reduce Non linear effect for 802.11a High Speed Network
نویسنده
چکیده
-----------------------------------------ABSTRACT------------------------------------------A high speed network 802.11a (OFDM) has emerged as very popular wireless transmission technique in which digital data bits are transmitted at a high speed in a radio environment. But non linear effect (PAPR) is challenge of high speed based communication that has recently drawn much attention. Non linear effect in 802.11a causes nonlinear distortions after amplified by power amplifier. Many methods proposed to reduce PAPR. In this article, we introduce a low-complexity partial transmit sequence (PTS) based on particle swarm optimization (PSO) algorithm is presented for the low computation complexity and the reduction of the peak-to-average power ratio (PAPR) of an 802.11a wireless standard. In this paper, we work around potentially computational intractability; the proposed PSO scheme exploits heuristics to search the optimal combination of Cumulative Distribution Function (CDF) with low complexity. Simulation results show that the new technique can effectively reduce the computation complexity and PAPR reduction.
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تاریخ انتشار 2012