Performance Analysis of Frequency Domain IM Schemes under CFO and IQ Imbalance

Tusha, Armed; Doğan, Seda; Arslan, Hüseyin

doi:10.1109/pimrc.2019.8904248

Cited by 15 publications

(7 citation statements)

References 14 publications

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“…The authors in [23] proposed a different approach on the influence of ICI on OFDM-IM based on subblocks (the intra-subblock and the inter-subblocks) and found that OFDM-IM outperformed conventional OFDM with CFO. In [24], the authors analyzed and compared the OFDM-IM scheme's performance with other multicarrier scheme in conditions under ICI and IQ imbalance. They found that OFDM with generalized IM (OFDM-GIM) offers the highest spectrums efficiency, being the most susceptible to IQ effects.…”

Section: Related Workmentioning

confidence: 99%

“…Even so, as a multicarrier systems, which is alike to conventional OFDM; where performance is affected by a symbol time offset (STO) [2,14,15] and carrier frequency offset (CFO) [2,[16][17][18][19][20][21]. In particular, OFDM-IM is even very susceptible to CFO as indicated by [22][23][24]. Wide-ranging of analysis and simulation studies were discussed in [2,14,15,20,21] to describing the effects of STO and CFO in conventional OFDM systems.…”

Section: Introductionmentioning

confidence: 99%

“…The authors [23] derived analysis and simulation of the OFDM-IM scheme's performance under ICI conditions in the frequency-selective fading channel. The authors [24] analyzed and compared the OFDM-IM scheme's performance in conditions under ICI and in-phase/quadrature (IQ) imbalance.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of OFDM-IM scheme under STO and CFO

Suyoto

Subekti

Satyawan

et al. 2021

IJECE

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In this letter, performance analysis of orthogonal frequency division multiplexing with index modulation (OFDM-IM) is presented in term of bit error rate (BERs). The analysis considers its performance under two impairments, symbol time offset (STO) and carrier frequency offset (CFO) in frequency-selective fading channel. As orthogonal multicarrier system, OFDM-IM is subject to both inter-symbol interference (ISI) and inter-carrier interference (ICI) in a frequency-selective fading channel. OFDM-IM is a new multicarrier communication system, where the active subcarriers indices are used to carry additional bits of information. In general, in the previous existing works, OFDM-IM are evaluated only for near-ideal communication scenarios by only incorporating the CFO factor. In this work, the OFDM-IM performance is investigated and compared with conventional OFDM in the presence of two impairments, STO and CFO. Simulation results show that OFDM-IM outperforms the conventional OFDM with the presence of STO and CFO, especially at high SNR areas.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance analysis of OFDM-IM scheme under STO and CFO

Suyoto

Subekti

Satyawan

et al. 2021

IJECE

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“…Receiver windowing is the another option. Roll-off factor optimization is analyzed in [92]. Different filters, the related coefficients, and roll-off factors increase the number of options for waveform processing techniques.…”

Section: B Waveform Processing Techniquesmentioning

confidence: 99%

A Waveform Parameter Assignment Framework for 6G With the Role of Machine Learning

Yazar

Arslan

2020

IEEE Open J. Veh. Technol.

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5G enables a wide variety of wireless communications applications and use cases. There are different requirements associated with the applications, use cases, channel structure, network and user. To meet all of the requirements, several new configurable parameters are defined in 5G New Radio (NR). It is possible that 6G will have even higher number of configurable parameters based on new potential conditions. In line with this trend, configurable waveform parameters are also varied and this variation will increase in 6G considering the potential future necessities. In this paper, association of users and possible configurable waveform parameters in a cell is discussed for 6G communication systems. An assignment framework of configurable waveform parameters with different types of resource allocation optimization mechanisms is proposed. Most of all, the role and usage of machine learning (ML) in this framework is described. A case study with a simulation based dataset generation methodology is also presented.

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“…In recent years, OFDM with index modulation (OFDM-IM) have become more appealing due to its flexible implementation for serving different user requirements [11,12]. In the literature, it is shown that OFDM-IM outperforms the classical OFDM under non-orthogonal transmission, doubly dispersive channels, asynchronous transmission and hardware impairments including peak-to-average-power ratio, carrier frequency offset, and in-phase and quadrature imbalance [13][14][15][16][17][18][19][20]. However, INI analysis for OFDM-IM is missing in the literature.…”

Section: Introductionmentioning

confidence: 99%

Inter‐numerology interference in OFDM‐IM systems

et al. 2021

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In 5G and beyond communication systems, distinct numerologies can coexist to serve diverse requirements for users and applications. However, the inter‐numerology interference (INI) is a main challenge that significantly impacts the system performance. Therefore, the performance under INI has become an essential evaluation metric for the suitability of the different transmission schemes in the future communication systems. This paper analyzes the impact of INI on the performance of orthogonal frequency division multiplexing with index modulation (OFDM‐IM) systems. Specifically, an analytical expression of the INI level in OFDM‐IM systems is presented as a function of the subcarrier activation ratio (SAR) and subcarrier activation probability (SAP). Furthermore, aiming at reducing the INI level, an adaptive subcarrier mapping scheme (SMS) is proposed based on the conventional combinatorial mapping scheme. Moreover, analysis and evaluation of SAR and SAP are performed regarding the requirements of 5G and beyond services. It is proved that the INI level in OFDM‐IM systems is highly dependent not only on the number of active subcarriers but also on their position in an OFDM block.

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Performance Analysis of Frequency Domain IM Schemes under CFO and IQ Imbalance

Cited by 15 publications

References 14 publications

Performance analysis of OFDM-IM scheme under STO and CFO

Performance analysis of OFDM-IM scheme under STO and CFO

A Waveform Parameter Assignment Framework for 6G With the Role of Machine Learning

Inter‐numerology interference in OFDM‐IM systems

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