SIR Analysis of OFDM and GFDM Waveforms With Timing Offset, CFO, and Phase Noise

Lim, Byungju; Ko, Young-Chai

doi:10.1109/twc.2017.2736998

Cited by 68 publications

(51 citation statements)

References 32 publications

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“…A set of random power allocations for subcarriers is generated and has been utilized for all three scenarios. As can be seen, the simulation results verify the derived PSD (14). Moreover, the increased number of subsymbols decreases the PSD rapidly on adjacent channels.…”

Section: Number Of Ofdm Subcarriers 64supporting

confidence: 72%

Analysis and rate optimization of GFDM‐based cognitive radios

Mohammadian

Baghani

Tellambura

2018

Trans Emerging Tel Tech

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Generalized frequency division multiplexing (GFDM) is suitable for cognitive radio networks due to its low out‐of‐band emission and high spectral efficiency. In this paper, we thus consider the use of GFDM to allow an unlicensed secondary user (SU) to access a spectrum hole. However, in extremely congested spectrum scenarios, both active incumbent primary users on the left and right channels of the spectrum hole will experience out‐of‐band interference. While constraining this interference, we thus investigate the problem of power allocation to the SU transmitter to maximize the overall data rate where the SU receiver is employing a matched filter or zero‐forcing receiver. The power allocation problem is thus solved as a classic convex optimization problem. Finally, total transmission rate of GFDM is compared with that of orthogonal frequency division multiplexing. For instance, when right and left interference should be below 10 dBm, the capacity gain of GFDM over OFDM is 400%.

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Section: Number Of Ofdm Subcarriers 64supporting

confidence: 72%

Analysis and rate optimization of GFDM‐based cognitive radios

Mohammadian

Baghani

Tellambura

2018

Trans Emerging Tel Tech

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“…Again, the results depend on the system parameters and the performance of the system can be evaluated for different configurations. Following (11) and (13), total power of residual SI signal after C-DLC may be expressed as…”

Section: A Si Signal Power Analysismentioning

confidence: 99%

Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO and IQ Imbalance

Mohammadian

Tellambura

2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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This paper addresses the performance of a fullduplex (FD) generalized frequency division multiplexing (GFDM) transceiver in the presence of radio frequency (RF) impairments including phase noise, carrier frequency offset (CFO) and inphase (I) and quadrature (Q) imbalance. We study analog and digital self-interference (SI) cancellation and develop a complementary SI suppression method. Closed-form solutions for the residual SI power and the desired signal power and signalto-interference ratio (SIR) are provided. Simulation results show that the RF impairments degrade SI cancellation and FD GFDM is more sensitive to them compares to FD orthogonal frequency division multiplexing (OFDM). Hence, we propose an FD GFDM receiver filter for maximizing the SIR. Significantly, it achieves 25 dB higher SIR than FD OFDM transceiver.Index Terms-Full-duplex radios, generalized frequency division multiplexing (GFDM), radio frequency (RF) impairments, signal-to-interference ratio (SIR), filter design.

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“…The aforementioned issues motivated many works to analyze ISI/ICI in OFDM systems with insufficient redundancy [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22]. Perhaps, the first attempt to analyze systematically the harmful ISI/ICI effects are the works in [6,7,23] in which preliminary results in terms of interference spectral power are presented.…”

Section: Introductionmentioning

confidence: 99%

Intersymbol and Intercarrier Interference in OFDM Transmissions Through Highly Dispersive Channels

Martins

CruznRoldan

Moonen

et al. 2019

2019 27th European Signal Processing Conference (EUSIPCO)

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This work quantifies, for the first time, intersymbol and intercarrier interferences induced by very dispersive channels in OFDM systems. The resulting achievable data rate for suboptimal OFDM transmissions is derived based on the computation of signal-to-interference-plus-noise ratio for arbitrary length finite duration channel impulse responses. Simulation results point to significant differences between data rates obtained via conventional formulations, for which interferences are supposed to be limited to two or three blocks, versus the data rates considering the actual channel dispersion.

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SIR Analysis of OFDM and GFDM Waveforms With Timing Offset, CFO, and Phase Noise

Cited by 68 publications

References 32 publications

Analysis and rate optimization of GFDM‐based cognitive radios

Analysis and rate optimization of GFDM‐based cognitive radios

Full-Duplex GFDM Radio Transceivers in the Presence of Phase Noise, CFO and IQ Imbalance

Intersymbol and Intercarrier Interference in OFDM Transmissions Through Highly Dispersive Channels

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