Deep Learning-Based Detector With Modulation Parameter-Independent Structure for OFDM With Index Modulation
Junghyun Kim,
Hosung Park
Abstract:Every existing deep learning (DL)-based detector for orthogonal frequency division multiplexing with index modulation (OFDM-IM) is optimized for one instance for modulation parameters (MPs) such as the modulation orders and the number of activae subcarriers but does not operate well for other sets of MPs. In this paper, we propose a novel index-bit-detection neural network with modulation parameter-independent structure (IBDNN-MPI) for OFDM-IM, which aims to operate with various MPs. IBDNN-MPI adopts a concate… Show more
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