Carrier frequency and sampling rate offsets effect on sub 6 GHz Massive MIMO

Ahmed-Ouameur, Messaoud; Massicotte, Daniel; Zhu, Wei-Ping

doi:10.1109/norchip.2015.7364371

Cited by 2 publications

(2 citation statements)

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“…The results indicate that even with perfect CSI, if we do not have a good CFO estimation then the sum-rate of the system will degrade significantly, specially in the distributed case. The simulation based studies in [43] also confirm that in OFDM massive MIMO systems if the time and frequency offset are not estimated well, the performance of the system degrades significantly. In [42,44] the effect of residual CFO after CFO compensation on the sum-rate of massive MIMO systems in the uplink has been studied.…”

Section: Hardware Impairmentsmentioning

confidence: 96%

“…Using inexpensive local oscillators increases the probability of oscillator instability and causes carrier frequency offset, which are due to the mismatch between the oscillator of the transmitter and the receiver. The effect of CFO is modeled as a phase rotation in the received time domain signal or a frequency shift in the spectrum of the received frequency domain signal [41,42,43,44,45,46,47,48,49,50,51]. In massive MIMO systems, since we have multiple users we also have multiple CFOs to estimate and compensate.…”

Section: Hardware Impairmentsmentioning

confidence: 99%

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A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

Mokhtari

Sabbaghian

Dinis

2019

Sensors

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Massive multiple input multiple output (MIMO) technology is one of the promising technologies for fifth generation (5G) cellular communications. In this technology, each cell has a base station (BS) with a large number of antennas, allowing the simultaneous use of the same resources (e.g., frequency and/or time slots) by multiple users of a cell. Therefore, massive MIMO systems can bring very high spectral and power efficiencies. However, this technology faces some important issues that need to be addressed. One of these issues is the performance degradation due to hardware impairments, since low-cost RF chains need to be employed. Another issue is the channel estimation and channel aging effects, especially in fast mobility environments. In this paper we will perform a comprehensive study on these two issues considering two of the most promising candidate waveforms for massive MIMO systems: Orthogonal frequency division multiplexing (OFDM) and single-carrier frequency domain processing (SC-FDP). The studies and the results show that hardware impairments and inaccurate channel knowledge can degrade the performance of massive MIMO systems extensively. However, using suitable low complex estimation and compensation techniques and also selecting a suitable waveform can reduce these effects.

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Section: Hardware Impairmentsmentioning

confidence: 96%