Abstract
In tone reservation-based OFDM systems, the peak to average power ratio (PAPR) reduction performance mainly depends on the selection of peak reduction tone (PRT) set. it is known that finding the optimal PRT set requires an exhaustive search of all combination of possible PRT sets, and this search is infeasible for the number of tones used in practical systems. The existing selection methods perform poorly or incur high computational complexity. In this paper, an efficient scheme based on particle swarm optimization algorithm (PSO) is proposed to search the nearly optimal PRT set.Simulation results show that our proposed algorithm can obtain a nearly optimal PRT set and good PAPR reductions.
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