Novel PAPR Reduction Technique based on Circular Data Allocation

Despite its advantages, orthogonal frequency division multiplexing (OFDM) suffers from a high peak-to-average-power ratio (PAPR) problem. In this paper, by exploiting the possibility of sub-optimum allocation of the data symbols to sub-carriers (in a non-random fashion) and random phase manipulation jointly, significant PAPR reduction gains have been achieved while signaling overhead and complexity both are fairly low. The proposed randomized circular data allocation (CDA) changes the allocation of data constellation points to sub carriers in a circular fashion. CDA neither requires full FFT operations nor the number of multipliers used by selective mapping (SLM) as it may only require one random phase vector while SLM requires U phase vectors. CDA therefore also offers a significant reduction in signaling overhead as it does not need to explicitly signal a phase sequence ID number to receiver and the signaling related to rotation information is performed through a novel rotational pilot structure