TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

A Wideband Front-End Receiver Implementation on GPUs

Tutkimustuotosvertaisarvioitu

Standard

A Wideband Front-End Receiver Implementation on GPUs. / Kim, Scott C.; Bhattacharyya, Shuvra S.

julkaisussa: IEEE Transactions on Signal Processing, Vuosikerta 64, Nro 10, 15.05.2016, s. 2602-2612.

Tutkimustuotosvertaisarvioitu

Harvard

Kim, SC & Bhattacharyya, SS 2016, 'A Wideband Front-End Receiver Implementation on GPUs', IEEE Transactions on Signal Processing, Vuosikerta. 64, Nro 10, Sivut 2602-2612. https://doi.org/10.1109/TSP.2016.2535349

APA

Kim, S. C., & Bhattacharyya, S. S. (2016). A Wideband Front-End Receiver Implementation on GPUs. IEEE Transactions on Signal Processing, 64(10), 2602-2612. https://doi.org/10.1109/TSP.2016.2535349

Vancouver

Kim SC, Bhattacharyya SS. A Wideband Front-End Receiver Implementation on GPUs. IEEE Transactions on Signal Processing. 2016 touko 15;64(10):2602-2612. https://doi.org/10.1109/TSP.2016.2535349

Author

Kim, Scott C. ; Bhattacharyya, Shuvra S. / A Wideband Front-End Receiver Implementation on GPUs. Julkaisussa: IEEE Transactions on Signal Processing. 2016 ; Vuosikerta 64, Nro 10. Sivut 2602-2612.

Bibtex - Lataa

@article{d76099b1f95048e2a86c860094f0b0a7,
title = "A Wideband Front-End Receiver Implementation on GPUs",
abstract = "Modern communication systems have frequency bands that are shared with multiple channels. A typical front-end transceiver is responsible for processing multiple channels simultaneously within the band. Although it is simpler to design a dedicated sub-transceiver for each channel, the overall cost of implementation is prohibitive. It is more desirable to design a single system that can process many channels at the same time. However, it is difficult to realize such a transceiver in wireless communication systems, since it needs to accommodate different standards, data rates, sampling rates, etc. In this paper, we address the challenges of flexible, cost-effective, multi-channel implementation of wideband receiver systems. In particular, we develop a novel implementation by applying graphics processing unit (GPU) technology to a wideband receiver that processes multiple channels at the same time, including channelization and arbitrary resampling. Our proposed new receiver architecture is flexible and reconfigurable via software, while providing high throughput and low latency.",
keywords = "Arbitrary resampler, carrier aggregation, GPU front-end receiver, GPU-based radio, Polyphase channelizer",
author = "Kim, {Scott C.} and Bhattacharyya, {Shuvra S.}",
year = "2016",
month = "5",
day = "15",
doi = "10.1109/TSP.2016.2535349",
language = "English",
volume = "64",
pages = "2602--2612",
journal = "IEEE Transactions on Signal Processing",
issn = "1053-587X",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "10",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - A Wideband Front-End Receiver Implementation on GPUs

AU - Kim, Scott C.

AU - Bhattacharyya, Shuvra S.

PY - 2016/5/15

Y1 - 2016/5/15

N2 - Modern communication systems have frequency bands that are shared with multiple channels. A typical front-end transceiver is responsible for processing multiple channels simultaneously within the band. Although it is simpler to design a dedicated sub-transceiver for each channel, the overall cost of implementation is prohibitive. It is more desirable to design a single system that can process many channels at the same time. However, it is difficult to realize such a transceiver in wireless communication systems, since it needs to accommodate different standards, data rates, sampling rates, etc. In this paper, we address the challenges of flexible, cost-effective, multi-channel implementation of wideband receiver systems. In particular, we develop a novel implementation by applying graphics processing unit (GPU) technology to a wideband receiver that processes multiple channels at the same time, including channelization and arbitrary resampling. Our proposed new receiver architecture is flexible and reconfigurable via software, while providing high throughput and low latency.

AB - Modern communication systems have frequency bands that are shared with multiple channels. A typical front-end transceiver is responsible for processing multiple channels simultaneously within the band. Although it is simpler to design a dedicated sub-transceiver for each channel, the overall cost of implementation is prohibitive. It is more desirable to design a single system that can process many channels at the same time. However, it is difficult to realize such a transceiver in wireless communication systems, since it needs to accommodate different standards, data rates, sampling rates, etc. In this paper, we address the challenges of flexible, cost-effective, multi-channel implementation of wideband receiver systems. In particular, we develop a novel implementation by applying graphics processing unit (GPU) technology to a wideband receiver that processes multiple channels at the same time, including channelization and arbitrary resampling. Our proposed new receiver architecture is flexible and reconfigurable via software, while providing high throughput and low latency.

KW - Arbitrary resampler

KW - carrier aggregation

KW - GPU front-end receiver

KW - GPU-based radio

KW - Polyphase channelizer

U2 - 10.1109/TSP.2016.2535349

DO - 10.1109/TSP.2016.2535349

M3 - Article

VL - 64

SP - 2602

EP - 2612

JO - IEEE Transactions on Signal Processing

JF - IEEE Transactions on Signal Processing

SN - 1053-587X

IS - 10

ER -