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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

Rectangular Differential OFDM With Index Modulation Using Coordinate Interleaving

TL;DR: In this article , a novel rectangular differential OFDM-IM using coordinate interleaving (CI-OFDM-RDIM) scheme is proposed, in which the dispersion matrix is projected to a dispersion vector that is transmitted in a single symbol interval, so that CI-of-diagram-with-coordinate-interleaving improves spectral efficiency compared with DSIM.
Proceedings ArticleDOI

CAZAC Precoding-Enabled OFDM with Multiple Mode Index Modulation for VLC

TL;DR: In this article , a constant amplitude zero autocorrelation precoding-enabled orthogonal frequency division multiplexing with multiple mode index modulation (CAZAC-OFDM-MMIM) scheme is proposed and demonstrated in visible light communication.
Journal ArticleDOI

On capacity and performance of noncoherent OFDM-IM systems with binary codes

TL;DR: In this paper , the capacity and error performance of a non-coherent index-modulated orthogonal frequency division multiplexing (OFDM-IM) system with binary coded subcarrier activation patterns were investigated.
Proceedings ArticleDOI

Index Modulated MIMO GFDM Systems

TL;DR: In this paper, the authors presented an index modulated MIMO-GFDM system, where the use of index modulation (IM) applied to the subcarriers within a GFDM block results in attractive characteristics to the system, in terms of the spectral efficiency, detection performance and computational complexity.
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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