Interference Analysis in the Asynchronous f-OFDM Systems

Chen, Hao; Hua, Jingyu; Li, Feng; Chen, Fangni; Wang, Dongming

doi:10.1109/tcomm.2019.2898867

Cited by 32 publications

(22 citation statements)

References 20 publications

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“…Furthermore, by supporting asynchronous transmission with flexible sub-band numerology, inner-sub-band interference (INSBI) may arise along with the aforementioned ITSBI. These two interference classes depend on many factors, such as the timing offset between the different interfering users, the guard band length and the filters employed in each sub-band [51].…”

Section: Filtered Orthogonal Frequency Division Multiplexingmentioning

confidence: 99%

A Survey of Candidate Waveforms for beyond 5G Systems

et al. 2020

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The 5G and beyond future wireless networks aim to support a large variety of services with increasing demand in terms of data rate and throughput while providing a higher degree of reliability, keeping the overall system complexity affordable. One of the key aspects regarding the physical layer architecture of such systems is the definition of the waveform to be used in the air interface. Such waveforms must be studied and compared in order to choose the most suitable and capable of providing the 5G and beyond services requirements, with flexible resource allocation in time and frequency domains, while providing high spectral and power efficiencies. In this paper, several beyond 5G waveforms candidates are presented, along with their transceiver architectures. Additionally, the associated advantages and disadvantages regarding the use of these transmission techniques are discussed. They are compared in a similar downlink transmission scenario where three main key performance indicators (KPIs) are evaluated. They are the peak-to-average power ratio, the overall system spectral efficiency (wherein the out of band emissions are measured, along with the spectral confinement of the power spectral density of the transmitted signals) and the bit error rate performance. Additionally, other KPIs are discussed.

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Section: Filtered Orthogonal Frequency Division Multiplexingmentioning

confidence: 99%

A Survey of Candidate Waveforms for beyond 5G Systems

et al. 2020

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“…The detailed derivations are explained in the following subsections. The analysis method proposed by Chen et al 23 is adopted to derive the interference expressions.…”

Section: Interference Analysismentioning

confidence: 99%

Filtered‐orthogonal frequency division multiplexing with index modulation for multiservice wireless communication systems

2020

Int J Communication

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Multiservices with diverse communication requirements are the main characteristics of 5G and beyond wireless communication systems. In order to meet these diverse requirements, flexible numerology is introduced by standardization bodies. In multiservice communication, the total bandwidth is divided into a number of subbands, and for each subband, different numerologies are assigned based on their requirements. But this flexible numerology introduces inter-subband interference due to the non-orthogonality of different numerologies. In this paper, we propose an efficient method based on orthogonal frequency division multiplexing (OFDM) with index modulation (IM) to effectively mitigate inter-subband interference in multiservice wireless communication systems. Index modulation is utilized to activate a fraction of subcarriers in the subband to reduce the inter-subband interference while filtering is done on top of index modulation to further reduce the interference leakage. The proposed method has the capability to control the inter-subband interference by varying the number of active subcarriers in the subband. Interference analysis for the proposed method is also carried out and validated through simulations. The superior performance of the proposed method is verified and compared with existing methods for multiservice wireless communication systems.

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“…In 2019, a confirmation result of [15], [19] was obtained where the OOB emission still recognized leading to loss of the synchronization [27]. The computational complexity of filtered based waveforms was suggested, which is the singular value decomposition (SVD) methodology [28].…”

Section: Introductionmentioning

confidence: 96%

Filtered orthogonal frequency division multiplexing for improved 5G systems

Sahrab

Yaseen

2021

Bulletin EEI

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Wireless communications became an integrated part of the human life. Fifth generation (5G) is the modern communication which provides enhanced mobile broadband (eMBB), ultra reliable low latency communications (URLLC), and massive machine type communication (mMTC). Thus, 5G have to provide coverage to multi-numerology devices, therefore, modulation and access schemes are suggested in the literature such as cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) and filtered OFDM (f-OFDM). CP-OFDM suffers from the high out of band emission which limited the multi-numerology applications. In f-OFDM, the out of band emission can be suppressed to an accepted extent such that different numerologies can be coexisting. On the other hand, f-OFDM can be more improved by using a proper filtering approach. In this paper three different filters are suggested based windowed-sinc function; Hanning, Hamming, and Blackman. Simulation results show that the proposed filters are promising for high spectral efficiency and out of band emission rejection. Furthermore, the bit error rate, error vector magnitude, and power spectral density are further improved with respect to CP-OFDM scheme but some trade-off is present. Overall, the suggested windowed-sinc filters are outperforming the traditional CP-OFDM. As a conclusion, the suggested windnowed-sinc filters have no limitations on the modulation order or the number of subcarriers utilized in the system.

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Interference Analysis in the Asynchronous f-OFDM Systems

Cited by 32 publications

References 20 publications

A Survey of Candidate Waveforms for beyond 5G Systems

A Survey of Candidate Waveforms for beyond 5G Systems

Filtered‐orthogonal frequency division multiplexing with index modulation for multiservice wireless communication systems

Filtered orthogonal frequency division multiplexing for improved 5G systems

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