Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers

Kiayani, Adnan; Abdelaziz, Mahmoud; Anttila, Lauri; Lehtinen, Vesa; Valkama, Mikko

doi:10.1109/tmtt.2015.2478005

Cited by 24 publications

(10 citation statements)

References 17 publications

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“…This signal passes the low-noise amplifier (LNA), which is assumed to be linear for the purposes of this work [16], [19]. The next stage is the (non-ideal) down-conversion with the main LO signal and optionally a harmonic with gain g sp…”

Section: A Interference Modelmentioning

confidence: 99%

“…Most concepts are based on polynomial PA models with and without memory. The estimation of the nonlinearity coefficients and the leakage path is implemented either using classical estimation approaches, such as batch least-squares solutions and the recursive least squares (RLS) [16], [17], or adaptive learning methods, like least-mean squares (LMS) algorithms combined with basis function orthogonalization [18], spline adaptive filters [19] and neural networks [20]. For many of these concepts, the computational complexity during training is high.…”

Section: Introductionmentioning

confidence: 99%

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Low-Complex Digital Cancellation of Transmitter Harmonics in LTE-A/5G Transceivers

Paireder

Huemer

2021

IEEE Open J. Commun. Soc.

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Nowadays, mobile communication radio frequency transceivers for LTE-A/5G usually operate in frequency-division duplex mode and support carrier aggregation. The resulting complexity requires compromises in the analog front-end. One consequence is a limited stop-band attenuation of the duplex filters that separate the transmit and the receive paths. The resulting transmit leakage signal combined with other non-idealities, like power amplifier (PA) harmonics, can create self-interference problems that desensitize the receivers. In this work, we propose an optimized digital self-interference cancellation scheme to mitigate the unacceptable performance degradation caused by PA induced harmonics. We derive an appropriate interference model and quantify the interference power levels for a specific PA. Based on these results, our low-complex cancellation approach solely targets the dominating components. Our algorithm relies on the auto-covariance matrix for the second and third power of LTE signals, which we derive for the first time in an analytic form. This statistical information can be combined with the transform-domain concept to noticeably improve the performance of a least-mean squares based cancellation algorithm. The capabilities of the approach are demonstrated by means of simulations and are validated on measurement data.

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Section: A Interference Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Complex Digital Cancellation of Transmitter Harmonics in LTE-A/5G Transceivers

Paireder

Huemer

2021

IEEE Open J. Commun. Soc.

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“…At the UE side, these approaches are referred to as the maximum power reduction (MPR) and maximum sensitivity degradation (MSD), respectively. However, these approaches impact negatively the UL link budget and throughputs [9] and are thus not the most appealing solutions. Alternatively, one could argue to utilize higher quality RF components with good linearity characteristics, however, this may considerably raise the overall radio implementation costs and size.…”

Section: Introductionmentioning

confidence: 99%

Digital Cancellation of Passive Intermodulation in FDD Transceivers

Waheed

Campo

Korpi

et al. 2018

2018 52nd Asilomar Conference on Signals, Systems, and Computers

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Modern radio systems and transceivers utilize carrier aggregation (CA) to meet the demands for higher and higher data rates. However, the adoption of CA in the existing Long Term Evolution (LTE)-Advanced and emerging 5G New Radio (NR) mobile networks, in case of frequency division duplexing (FDD), may incur self-interference challenges with certain band combinations. More specifically, the nonlinear distortion products of the transmit signals or component carriers (CCs), stemming from the passive radio frequency (RF) front-end components of the transceiver, can appear in one or more of the configured receiver bands, potentially leading to the receiver desensitization. In this paper, we present advanced baseband equivalent signal models for such passive intermodulation (PIM) distortion viewed from the RX point of view, considering also potential memory effects in the PIM generation. Then, building on these signal models, a digital self-interference cancellation technique operating in the transceiver digital front-end is presented. The performance of the proposed solution is evaluated with real-life RF measurements for LTE-Advanced type user equipment (UE) with dual CC interband CA, demonstrating excellent suppression properties. The findings in this work indicate that digital cancellation is a feasible approach for improving the receiver sensitivity of mobile devices that may be prone to RF front-end induced PIM challenges.

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“…It has been recently demonstrated that in the context of LTE-Advanced mobile transmitter with noncontiguous CA or multicluster type transmission, the PA nonlinearities lead to spurious emissions that can seriously violate the given spectrum and spurious emission limits if not properly controlled [2], [4]- [6]. Furthermore, in FDD devices, in addition to violating the general spurious emission limits, the generated spurious components can also overlap with the device's own receive band, causing own receiver desensitization [4], [9], [11], [12]. One obvious solution to decrease the levels of unwanted emissions is to back off the transmit power from arXiv:1607.02249v2 [cs.IT] 19 Aug 2016 its saturation region.…”

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confidence: 99%

Low-Complexity Subband Digital Predistortion for Spurious Emission Suppression in Noncontiguous Spectrum Access

Abdelaziz¹,

Anttila²,

Tarver³

et al. 2016

IEEE Trans. Microwave Theory Techn.

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Abstract-Noncontiguous transmission schemes combined with high power-efficiency requirements pose big challenges for radio transmitter and power amplifier (PA) design and implementation. Due to the nonlinear nature of the PA, severe unwanted emissions can occur, which can potentially interfere with neighboring channel signals or even desensitize the own receiver in frequency division duplexing (FDD) transceivers. In this article, to suppress such unwanted emissions, a low-complexity sub-band DPD solution, specifically tailored for spectrally noncontiguous transmission schemes in low-cost devices, is proposed. The proposed technique aims at mitigating only the selected spurious intermodulation distortion components at the PA output, hence allowing for substantially reduced processing complexity compared to classical linearization solutions. Furthermore, novel decorrelation based parameter learning solutions are also proposed and formulated, which offer reduced computing complexity in parameter estimation as well as the ability to track timevarying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTEAdvanced mobile PA, to evaluate and validate the effectiveness of the proposed solution in real world scenarios. The obtained results demonstrate that highly efficient spurious component suppression can be obtained using the proposed solutions.

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Digital Mitigation of Transmitter-Induced Receiver Desensitization in Carrier Aggregation FDD Transceivers

Cited by 24 publications

References 17 publications

Low-Complex Digital Cancellation of Transmitter Harmonics in LTE-A/5G Transceivers

Low-Complex Digital Cancellation of Transmitter Harmonics in LTE-A/5G Transceivers

Digital Cancellation of Passive Intermodulation in FDD Transceivers

Low-Complexity Subband Digital Predistortion for Spurious Emission Suppression in Noncontiguous Spectrum Access

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