Exploiting the Power of GPUs for Multi-gigabit Wireless Baseband Processing

Author(s):  
Taskin Kocak ◽  
Nicholas Hinitt
Keyword(s):  
Frequenz ◽  
2017 ◽  
Vol 71 (9-10) ◽  
pp. 389-398
Author(s):  
Xiaohang Song ◽  
Darko Cvetkovski ◽  
Tim Hälsig ◽  
Wolfgang Rave ◽  
Gerhard Fettweis ◽  
...  

Abstract The evolution to ultra-dense next generation networks requires a massive increase in throughput and deployment flexibility. Therefore, novel wireless backhaul solutions that can support these demands are needed. In this work we present an approach for a millimeter wave line-of-sight MIMO backhaul design, targeting transmission rates in the order of 100 Gbit/s. We provide theoretical foundations for the concept showcasing its potential, which are confirmed through channel measurements. Furthermore, we provide insights into the system design with respect to antenna array setup, baseband processing, synchronization, and channel equalization. Implementation in a 60 GHz demonstrator setup proves the feasibility of the system concept for high throughput backhauling in next generation networks.


1996 ◽  
Vol 160 ◽  
pp. 21-22
Author(s):  
R. Wietfeldt ◽  
W. Van Straten ◽  
D. Del Rizzo ◽  
N. Bartel ◽  
W. Cannon ◽  
...  

AbstractThe phase-coherent recording of pulsar data and subsequent software dispersion removal provide a flexible way to reach the limits of high time resolution, useful for more precise pulse timing and the study of fast signal fluctuations within a pulse. Because of the huge data rate and lack of adequate recording and computing capabilities, this technique has been used mostly only for small pulsar data sets. In recent years, however, the development of very capable, reasonably inexpensive high-speed recording systems and computers has made feasible the notion of pulsar baseband recording and subsequent processing with a workstation/computer. In this paper we discuss the development of a phase-coherent baseband processing system for radio pulsar observations. This system is based on the S2 VLBI recorder developed at ISTS/York University in Toronto, Canada. We present preliminary first results for data from the Vela pulsar, obtained at Parkes, Australia, and processed at ISTS/York University, and discuss plans for future developments.


Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 465 ◽  
Author(s):  
Krzysztof Marcinek ◽  
Witold A. Pleskacz

This work presents the results of research toward designing an instruction set extension dedicated to Global Navigation Satellite System (GNSS) baseband processing. The paper describes the state-of-the-art techniques of GNSS receiver implementation. Their advantages and disadvantages are discussed. Against this background, a new versatile instruction set extension for GNSS baseband processing is presented. The authors introduce improved mechanisms for instruction set generation focused on multi-channel processing. The analytical approach used by the authors leads to the introduction of a GNSS-instruction set extension (ISE) for GNSS baseband processing. The developed GNSS-ISE is simulated extensively using PC software and field-programmable gate array (FPGA) emulation. Finally, the developed GNSS-ISE is incorporated into the first-in-the-world, according to the authors’ best knowledge, integrated, multi-frequency, and multi-constellation microcontroller with embedded flash memory. Additionally, this microcontroller may serve as an application processor, which is a unique feature. The presented results show the feasibility of implementing the GNSS-ISE into an embedded microprocessor system and its capability of performing baseband processing. The developed GNSS-ISE can be implemented in a wide range of applications including smart IoT (internet of things) devices or remote sensors, fostering the adaptation of multi-frequency and multi-constellation GNSS receivers to the low-cost consumer mass-market.


2019 ◽  
Vol 151 ◽  
pp. 158-165 ◽  
Author(s):  
Maicon Kist ◽  
Juliano Araújo Wickboldt ◽  
Lisandro Zambenedetti Granville ◽  
Juergen Rochol ◽  
Luiz A. DaSilva ◽  
...  

Author(s):  
Timo Lehnigk-Emden ◽  
Matthias Alles ◽  
Torben Brack ◽  
Norbert Wehn
Keyword(s):  

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