VijayaLakshmi M1
and K Rama Linga Reddy2
1ETM Dept, GNITS, Hyderabad, India
2 HOD, ETM Dept, GNITS, Hyderabad, India
ABSTRACT
The demand for wireless communication increases every day. MIMO system increases the channel capacity
without increasing the bandwidth. OFDM eliminates inter-symbol interference very effectively. By
combining both these technologies ,the resultant data rates are increased and also robustness to multi path
fading effects. But the main drawback of MIMO-OFDM system is its high PAPR. Selective mapping(SLM)
is one of the popular distortion less technique for reducing high PAPR but the computational complexity
for searching optimum phase factors is high. Many evolutionary algorithms like particle swarm
optimisation, artificial bee colony optimization algorithm, cuckoo search algorithm are proposed for
searching optimum phase factors. In this paper two new optimization algorithms social spider
optimization(SSO), adaptive artificial bee colony algorithm are proposed for SLM and Simulation results
shows that compared to adaptive artifctial bee colony algorithm, social spider optimization algorithm(SSO)
gives best phase factors for lower PAPR with fewer number of iterations and also reduces the
computational complexity of SLM technique very efficiently.
KEYWORDS
Multiple input multiple output(MIMO),orthogonal frequency division multiplexing(OFDM),peak to average power ratio(PAPR). Space time block codes(STBC).
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