Enhanced subcarrier index modulation (SIM) OFDM

Tsonev, Dobroslav; Sinanović, Sinan; Haas, Harald

doi:10.1109/glocomw.2011.6162549

Cited by 219 publications

(169 citation statements)

References 4 publications

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“…We first analyze the propagation error rate (PER) expression of sparse MCIK for any number of active sub-carriers and secondly investigate the effect of propagation of error imposed by the nature of sparse MCIK in highly correlated sub-carriers. In [4], [5], the BER is limited by a fixed number of active, orthogonal sub-carriers that differs from what we consider herein. For example, the approach in [5] cannot be used directly with either the small or large active sub-carriers as well as non-orthogonal subcarriers.…”

Section: Introductionmentioning

confidence: 86%

“…In [4], [5], the BER is limited by a fixed number of active, orthogonal sub-carriers that differs from what we consider herein. For example, the approach in [5] cannot be used directly with either the small or large active sub-carriers as well as non-orthogonal subcarriers. Our contribution is thirdly to develop the trade-off between the sparsity of the MCIK, correlation, and PER at various extreme cases.…”

Section: Introductionmentioning

confidence: 86%

“…In [4], [5], the so-called sub-carrier-index modulation (SIM) OFDM scheme has been proposed to outperform the classical OFDM systems. The sub-carrier index becomes additional resource to decrease the bit error rate (BER) faster than the classical OFDM with only a few sub-carrier activation.…”

Section: Introductionmentioning

confidence: 99%

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Sparse multi-carrier index keying OFDM with index separation over correlated sub-carriers

Ko¹,

Choi²

2015

2015 International Conference on Information and Communication Technology Convergence (ICTC)

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Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. General rightsCopyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Abstract-In this paper, we propose a sparse multi-carrier index keying (MCIK) method for orthogonal frequency division multiplexing (OFDM) system, which uses the indices of sparse sub-carriers to transmit the data, and improve the performance of signal detection in highly correlated sub-carriers. Although a receiver is able to exploit a power gain with precoding in OFDM, the sensitivity of the signal detection is usually high as the orthogonality is not retained in highly dispersive environments. To overcome this, we focus on developing the trade-off between the sparsity of the MCIK, correlation, and performances, analyzing the average probability of the error propagation imposed by incorrect index detection over highly correlated sub-carriers. In asymptotic cases, we are able to see how sparsity of MCIK should be designed in order to perform superior to the classical OFDM system. Based on this feature, sparse MCIK based OFDM is a better choice for low detection errors in highly correlated sub-carriers.Index Terms-Sparse multi-carrier index keying, nonorthogonal OFDM, detection error propagation.

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Section: Introductionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 86%

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Sparse multi-carrier index keying OFDM with index separation over correlated sub-carriers

Ko¹,

Choi²

2015

2015 International Conference on Information and Communication Technology Convergence (ICTC)

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“…Orthogonal frequency division multiplexing (OFDM) has been adopted by the majority of wireless communication standards such as IEEE 802.11, IEEE 802.16, and 3GPP's LTE-Advanced, due to its capability of combating intersymbol interference caused by frequency selective fading channels. A new variant of OFDM, known as multi-carrier index keying OFDM (MCIK-OFDM), has been recently proposed as a means of extending the conventional two dimensional M -ary signal constellations to a third dimension, which is the sub-carrier index [1], [2]. Similar to the spatial modulation (SM) concept [3], in every MCIK-OFDM transmission only a subset of sub-carriers is activated, according to the incoming data, to convey constellation symbols.…”

Section: Introductionmentioning

confidence: 99%

A low complexity detector with MRC diversity reception for MCIK-OFDM

Chatziantoniou

Crawford

2016

2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-Multi-carrier index keying (MCIK) is a recently developed transmission technique that exploits the sub-carrier indices as an additional degree of freedom for data transmission. This paper investigates the performance of a low complexity detection scheme with diversity reception for MCIK with orthogonal frequency division multiplexing (OFDM). For the performance evaluation, an exact and an approximate closed form expression for the pairwise error probability (PEP) of a greedy detector (GD) with maximal ratio combining (MRC) is derived. The presented results show that the performance of the GD is significantly improved when MRC diversity is employed. The proposed hybrid scheme is found to outperform maximum likelihood (ML) detection with a substantial reduction on the associated computational complexity.Index Terms-Maximal ratio combining (MRC), multi-carrier index keying (MCIK), orthogonal frequency division multiplexing (OFDM).

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“…spatial modulation (SM) [4]. A variant version of OFDM-IM was proposed in [5], where bits were divided into blocks of bits before the OFDM-IM modulator. Basar et al in [6] studied practical implementation issues of OFDM-IM such as maximum likelihood (ML) detector, log-likelihood ratio detector, and impact of channel estimation errors.…”

Section: Introductionmentioning

confidence: 99%

Single‐cell and multi‐cell performance analysis of OFDM index modulation

Nekovee

2017

IET Communications

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This study addresses the achievable rate of single cell and sum rate of multi-cell orthogonal frequency division multiplexing (OFDM) index modulation (IM). The single-cell achievable rate of OFDM-IM with Gaussian input is calculated using a multi-ary symmetric channel. Then, the cumulative distribution function of multi-cell OFDM-IM is investigated by stochastic geometry. Furthermore, it is proved in this study that the probability density function of noise plus inter-cell interference in multicell OFDM-IM with quadrature-amplitude modulation follows a mixture of Gaussians (MoGs) distribution. Next, parameters of the MoG distribution are estimated using a simplified expectation maximisation algorithm. Upper bound of sum rates of multi-cell OFDM-IM is derived. Furthermore, analytic and simulated results are compared and discussed.

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Enhanced subcarrier index modulation (SIM) OFDM

Cited by 219 publications

References 4 publications

Sparse multi-carrier index keying OFDM with index separation over correlated sub-carriers

Sparse multi-carrier index keying OFDM with index separation over correlated sub-carriers

A low complexity detector with MRC diversity reception for MCIK-OFDM

Single‐cell and multi‐cell performance analysis of OFDM index modulation

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