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Journal ArticleDOI

Orthogonal Frequency Division Multiplexing With Index Modulation

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TLDR
It is shown via computer simulations that the proposed OFDM with index modulation scheme achieves significantly better error performance than classical OFDM due to the information bits carried in the spatial domain by the indices of OFDM subcarriers.
Abstract
In this paper, a novel orthogonal frequency division multiplexing (OFDM) scheme, called OFDM with index modulation (OFDM-IM), is proposed for operation over frequency-selective and rapidly time-varying fading channels In this scheme, the information is conveyed not only by M-ary signal constellations as in classical OFDM, but also by the indices of the subcarriers, which are activated according to the incoming bit stream Different low complexity transceiver structures based on maximum likelihood detection or log-likelihood ratio calculation are proposed and a theoretical error performance analysis is provided for the new scheme operating under ideal channel conditions Then, the proposed scheme is adapted to realistic channel conditions such as imperfect channel state information and very high mobility cases by modifying the receiver structure The approximate pairwise error probability of OFDM-IM is derived under channel estimation errors For the mobility case, several interference unaware/aware detection methods are proposed for the new scheme It is shown via computer simulations that the proposed scheme achieves significantly better error performance than classical OFDM due to the information bits carried by the indices of OFDM subcarriers under both ideal and realistic channel conditions

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Citations
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Journal ArticleDOI

Low‐complexity and robust MLP‐mixer aided detector design based on deep learning for differential subcarrier index modulation

TL;DR: In this article , an intelligent detector is proposed to learn the transmission patterns of differential subcarrier index modulation (DSIM) to demodulate the received signals with lower complexity.
Journal ArticleDOI

Coverage analysis of downlink cellular orthogonal frequency-division multiple-access networks using moment generating functions

TL;DR: Numerical results demonstrate that due to the impulsive nature of the inter-cell interference for moderate-to-small cell loads, the networks using the LM for soft-decision decoding significantly outperform those employing the legacy Gaussian metric in terms of the achievable cell radius and the amount of the average transmit power reduction.
Proceedings ArticleDOI

Min-Max Hamming Distance Considerations for Activation Pattern Design in Index Modulation

TL;DR: In this article , the authors proposed efficient index activation patterns according to a min-max Hamming distance metric for both orthogonal frequency division multiplexing (OFDM) and non-orthogonal spectrally efficient FDM (SEFDM).
Journal ArticleDOI

Application of Unsupervised Learning in Implementation of Joint Power and Index Modulation Access in V2X Systems

TL;DR: In this paper , a novel approach that leverages K-means clustering to learn the pattern of multi-user multi-carrier energy variations and use them to effectively order the users is proposed.
References
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Journal Article

Spatial Modulation

TL;DR: An analytical approach for symbol error ratio (SER) analysis of the SM algorithm in independent identically distributed Rayleigh channels results closely match and it is shown that SM achieves better performance in all studied channel conditions, as compared with other techniques.
Proceedings ArticleDOI

A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain

TL;DR: A log- MAP algorithm is presented that avoids the approximations in the max-log-MAP algorithm and hence is equivalent to the true MAP, but without its major disadvantages, and it is concluded that the three algorithms increase in complexity in the order of their optimality.
Journal ArticleDOI

Space shift keying modulation for MIMO channels

TL;DR: Space shift keying concepts are extended to incorporate channel coding, where in particular, they are considered a bit interleaved coded modulation (BICM) system using iterative decoding for both convolutional and turbo codes.
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