Compact modeling and management of reconfiguration in digital channelizer implementation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Standard

Compact modeling and management of reconfiguration in digital channelizer implementation. / Sapio, Adrian E.; Wolf, Marilyn; Bhattacharyya, Shuvra S.

2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. IEEE, 2017. p. 595-599.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Harvard

Sapio, AE, Wolf, M & Bhattacharyya, SS 2017, Compact modeling and management of reconfiguration in digital channelizer implementation. in 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. IEEE, pp. 595-599, IEEE Global Conference on Signal and Information Processing, 1/01/00. https://doi.org/10.1109/GlobalSIP.2016.7905911

APA

Sapio, A. E., Wolf, M., & Bhattacharyya, S. S. (2017). Compact modeling and management of reconfiguration in digital channelizer implementation. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings (pp. 595-599). IEEE. https://doi.org/10.1109/GlobalSIP.2016.7905911

Vancouver

Sapio AE, Wolf M, Bhattacharyya SS. Compact modeling and management of reconfiguration in digital channelizer implementation. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. IEEE. 2017. p. 595-599 https://doi.org/10.1109/GlobalSIP.2016.7905911

Author

Sapio, Adrian E. ; Wolf, Marilyn ; Bhattacharyya, Shuvra S. / Compact modeling and management of reconfiguration in digital channelizer implementation. 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings. IEEE, 2017. pp. 595-599

Bibtex - Download

@inproceedings{d67fc3a8d32048a68395b218054a8e20,

title = "Compact modeling and management of reconfiguration in digital channelizer implementation",

abstract = "In this work, a novel digital channelizer design is developed through the use of a compact, system-level modeling approach. The model efficiently captures key properties of a digital channelizer system and its time-varying operation. The model applies powerful Markov Decision Process (MDP) techniques in new ways for design optimization of reconfigurable channelization processing. The result is a promising methodology for design and implementation of digital channelizers that adapt dynamically to changing use cases and stochastic environments while optimizing simultaneously for multiple conflicting performance goals. The method is used to employ an MDP to generate a runtime reconfiguration policy for a time-varying environment. Through extensive simulations, the robustness of the adaptation is demonstrated in comparison with the prior state of the art.",

keywords = "Channelizer, Markov decision processes, Reconfigurable architectures, Software defined radio",

author = "Sapio, {Adrian E.} and Marilyn Wolf and Bhattacharyya, {Shuvra S.}",

year = "2017",

month = "4",

day = "19",

doi = "10.1109/GlobalSIP.2016.7905911",

language = "English",

pages = "595--599",

booktitle = "2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings",

publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Compact modeling and management of reconfiguration in digital channelizer implementation

AU - Sapio, Adrian E.

AU - Wolf, Marilyn

AU - Bhattacharyya, Shuvra S.

PY - 2017/4/19

Y1 - 2017/4/19

N2 - In this work, a novel digital channelizer design is developed through the use of a compact, system-level modeling approach. The model efficiently captures key properties of a digital channelizer system and its time-varying operation. The model applies powerful Markov Decision Process (MDP) techniques in new ways for design optimization of reconfigurable channelization processing. The result is a promising methodology for design and implementation of digital channelizers that adapt dynamically to changing use cases and stochastic environments while optimizing simultaneously for multiple conflicting performance goals. The method is used to employ an MDP to generate a runtime reconfiguration policy for a time-varying environment. Through extensive simulations, the robustness of the adaptation is demonstrated in comparison with the prior state of the art.

AB - In this work, a novel digital channelizer design is developed through the use of a compact, system-level modeling approach. The model efficiently captures key properties of a digital channelizer system and its time-varying operation. The model applies powerful Markov Decision Process (MDP) techniques in new ways for design optimization of reconfigurable channelization processing. The result is a promising methodology for design and implementation of digital channelizers that adapt dynamically to changing use cases and stochastic environments while optimizing simultaneously for multiple conflicting performance goals. The method is used to employ an MDP to generate a runtime reconfiguration policy for a time-varying environment. Through extensive simulations, the robustness of the adaptation is demonstrated in comparison with the prior state of the art.

KW - Channelizer

KW - Markov decision processes

KW - Reconfigurable architectures

KW - Software defined radio

U2 - 10.1109/GlobalSIP.2016.7905911

DO - 10.1109/GlobalSIP.2016.7905911

M3 - Conference contribution

SP - 595

EP - 599

BT - 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings

PB - IEEE

ER -

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