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2. Reducing FDD MMU Form Factor With Active Cancellation

Author

Muhammad, Khurram, primary, Yuan, Jin, additional, Zhang, Shaomin, additional, Tarver, Chance, additional, Xu, Xinguang, additional, Liu, Yu, additional, Li, Jie, additional, Moon, Junghwan, additional, Tonnemach, Matthew, additional, Xu, Gary, additional, and Zhang, Jianzhong Charlie, additional

Published
2022
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5. XDD: Cross Division Duplex in 5G-Advanced

Author

Ji, Hyoungju, primary, Kim, Younsun, additional, Muhammad, Khurram, additional, Tarver, Chance, additional, Tonnemacher, Matthew, additional, Lim, Seongmok, additional, Shim, Jaeveon, additional, Kim, Jaemin, additional, Yu, Bin, additional, and Xu, Gary, additional

Published
2021
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6. Enabling Advanced Duplex in 6G

Author

Ji, Hyoungju, primary, Kim, Younsun, additional, Kim, Taehyoung, additional, Muhammad, Khurram, additional, Tarver, Chance, additional, Tonnemacher, Matthew, additional, Oh, Jinyoung, additional, Yu, Bin, additional, and Xu, Gary, additional

Published
2021
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8. Predistortion of OFDM Waveforms using Guard-band Subcarriers

Author

Tarver, Chance, Balatsoukas-Stimming, Alexios, Cavallaro, Joseph R., Matthews, Michael B., Signal Processing for Communications Lab, Center for Wireless Technology Eindhoven, and Center for Care & Cure Technology Eindhoven

Subjects
Computer science, Orthogonal frequency-division multiplexing, Amplifier, Guard band, 020206 networking & telecommunications, 02 engineering and technology, neural networks, Signal, Multiplexing, Predistortion, Digital predistortion (DPD), orthogonal frequency-division multiplexing (OFDM), 0202 electrical engineering, electronic engineering, information engineering, Baseband, Electronic engineering, Oversampling
Abstract

Digital predistortion (DPD) is an important technique that is commonly used in wireless transmitters to reduce the out-of-band emissions caused by power amplifier (PA) nonlinearities. This frequency-domain goal is generally achieved by learning a baseband equivalent time-domain inverse transfer function of the PA and applying it to the transmitted digital baseband signal. In this work, we take advantage of the frequency-domain nature of orthogonal frequency-division multiplexing (OFDM) signals by injecting cancellation tones into the guard-band subcarriers to perform DPD. We experimentally evaluate our OFDM-based DPD (ODPD) method using a Doherty PA and show that, when compared to a standard generalized memory polynomial solution, the ODPD can achieve better suppression of out-of-band emissions with lower complexity. Moreover, when combined with a neural network model of the PA, our proposed ODPD method only requires oversampling the transmitted signal by a factor of two, which has important implications for the analog transceiver front-end.

Published
2020

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

Author

Abdelaziz, Mahmoud, Anttila, Lauri, Tarver, Chance, Li, Kaipeng, Cavallaro, Joseph R., and Valkama, Mikko

Subjects
ELECTRIC power consumption, RADIO transmitters & transmission, COMPUTATIONAL complexity, INTERMODULATION distortion, ECHO suppression, EFFICIENCY of power amplifiers, LONG-Term Evolution (Telecommunications)
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 transceivers. In this paper, to suppress such unwanted emissions, a low-complexity subband digital predistortion 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 with 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 time-varying features adaptively. Comprehensive simulation and RF measurement results are provided, using a commercial LTE-Advanced 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. [ABSTRACT FROM PUBLISHER]

Published
2016
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