A reconfigurable RF front-end for 5G direct sampling receivers with an optimized calibration scheme
(2024) In AEÜ - International Journal of Electronics and Communications 175.- Abstract
- This paper presents a reconfigurable radio frequency front-end (RFFE) tailored for direct RF sampling receivers operating within Frequency Range 1 (FR-1) of the 5G spectrum. It consists of a balun-LNA, a noise-cancelling, current-reuse, Q-enhanced filter, and a programmable gain amplifier (PGA). Fabricated in 22-nm FD-SOI technology, the RFFE covers the entire frequency range from 1.7 to 6.4 GHz with a tunable bandwidth ranging from 50 MHz to 1.2 GHz. The experimental results confirm that the RFFE achieves 3.9 dB NF, 55 dB ultimate OOB rejection, −4 dBm IB-IIP3, and 23 dBm OOB-IIP3. Furthermore, a digital calibration scheme is proposed to compensate for process, voltage, and temperature (PVT) variations, achieving lower than 2 % error in... (More)
- This paper presents a reconfigurable radio frequency front-end (RFFE) tailored for direct RF sampling receivers operating within Frequency Range 1 (FR-1) of the 5G spectrum. It consists of a balun-LNA, a noise-cancelling, current-reuse, Q-enhanced filter, and a programmable gain amplifier (PGA). Fabricated in 22-nm FD-SOI technology, the RFFE covers the entire frequency range from 1.7 to 6.4 GHz with a tunable bandwidth ranging from 50 MHz to 1.2 GHz. The experimental results confirm that the RFFE achieves 3.9 dB NF, 55 dB ultimate OOB rejection, −4 dBm IB-IIP3, and 23 dBm OOB-IIP3. Furthermore, a digital calibration scheme is proposed to compensate for process, voltage, and temperature (PVT) variations, achieving lower than 2 % error in 6.61 µs on average. Subsequently, a proximal policy optimization (PPO) agent is employed to choose the optimal policy for the successive adjustments of quality factors and resonance frequencies of the filter’s resonators. As a result, the proposed reinforcement learning algorithm reduces the calibration’s convergence time by 59 %. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/705c55f4-fe65-4cc1-b681-f768d9ecc059
- author
- Ghotbi, Iman
LU
; Behmanesh, Baktash LU
and Törmänen, Markus LU
- organization
- publishing date
- 2024-01-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- RF front-end, Direct sampling receiver, 5G, filter, calibration, FD-SOI
- in
- AEÜ - International Journal of Electronics and Communications
- volume
- 175
- article number
- 155112
- publisher
- Elsevier
- external identifiers
-
- scopus:85182026047
- ISSN
- 1434-8411
- DOI
- 10.1016/j.aeue.2023.155112
- language
- English
- LU publication?
- yes
- id
- 705c55f4-fe65-4cc1-b681-f768d9ecc059
- date added to LUP
- 2024-01-19 18:10:37
- date last changed
- 2025-04-04 15:13:00
@article{705c55f4-fe65-4cc1-b681-f768d9ecc059, abstract = {{This paper presents a reconfigurable radio frequency front-end (RFFE) tailored for direct RF sampling receivers operating within Frequency Range 1 (FR-1) of the 5G spectrum. It consists of a balun-LNA, a noise-cancelling, current-reuse, Q-enhanced filter, and a programmable gain amplifier (PGA). Fabricated in 22-nm FD-SOI technology, the RFFE covers the entire frequency range from 1.7 to 6.4 GHz with a tunable bandwidth ranging from 50 MHz to 1.2 GHz. The experimental results confirm that the RFFE achieves 3.9 dB NF, 55 dB ultimate OOB rejection, −4 dBm IB-IIP3, and 23 dBm OOB-IIP3. Furthermore, a digital calibration scheme is proposed to compensate for process, voltage, and temperature (PVT) variations, achieving lower than 2 % error in 6.61 µs on average. Subsequently, a proximal policy optimization (PPO) agent is employed to choose the optimal policy for the successive adjustments of quality factors and resonance frequencies of the filter’s resonators. As a result, the proposed reinforcement learning algorithm reduces the calibration’s convergence time by 59 %.}}, author = {{Ghotbi, Iman and Behmanesh, Baktash and Törmänen, Markus}}, issn = {{1434-8411}}, keywords = {{RF front-end; Direct sampling receiver; 5G; filter; calibration; FD-SOI}}, language = {{eng}}, month = {{01}}, publisher = {{Elsevier}}, series = {{AEÜ - International Journal of Electronics and Communications}}, title = {{A reconfigurable RF front-end for 5G direct sampling receivers with an optimized calibration scheme}}, url = {{http://dx.doi.org/10.1016/j.aeue.2023.155112}}, doi = {{10.1016/j.aeue.2023.155112}}, volume = {{175}}, year = {{2024}}, }