Orthogonal Frequency Division Multiplexing
(OFDM) technique has a major drawback of Peak to Average
Power Ratio (PAPR) of transmitted signal. The partial transmit
sequence (PTS) technique is a phase optimization technique
which provide efficient PAPR reduction with high computational
complexity. The complexity is being reduced so far using various
algorithms based on search procedure of nature. In this paper,
Cuckoo Search (CS) Algorithm is proposed to search better
combination of phase factors to reduce PAPR. Combination of
this algorithm with PTS is proposed to reduce the computational
complexity through optimization. The simulation result shows
the effect of sub-carriers and sub-blocks on the PAPR in the
OFDM system and finally achieving significant PAPR reduction.
Published In : IJCAT Journal Volume 2, Issue 2
Date of Publication : 28 February 2015
Pages : 36 - 41
Figures :03
Tables : 09
Publication Link :PAPR Reduction of OFDM Signals Using
Cuckoo Search Algorithm
Kuldeep Singh : ECE Department, Gaini Zail Singh Punjab Technical University Campus
Bathinda, Punjab, India
Balraj Singh Sidhu : ECE Department, Gaini Zail Singh Punjab Technical University Campus
Bathinda, Punjab, India
Cuckoo Search (CS) Algorithm
OFDM
Phase
Optimization Technique
Partial Transmit sequence (PTS)
In this paper, the CS algorithm has been proposed to
reduce the computational complexity of the PTS for the
OFDM system. Cuckoo Search optimization is also one of
the swarm intelligence techniques. So, this algorithm has
been implemented to tackle the PAPR problem in OFDM
systems. The simulation results depict that CS is an
effective method to reduce the PAPR problem. Also effect
of changing various simulation parameters such as
subcarriers, sub-blocks is studied. With increase in number
of sub-blocks the PAPR reduces. For 32 sub-blocks the
PAPR value had reached at 6.4 dB. However, the PAPR
value can further be reduced by increasing the number of
sub-blocks, but it has certain limitations. The prominent
disadvantages of further increasing the number of subblocks
is that the time delay and complexity of system
increases. The hardware cost of system also increases with
the complexity. PAPR values and probability of PAPR
values changes with change in parameters. In future,
Cuckoo Search can also be combined with other
techniques to reduce the PAPR problem.
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