Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Advanced Software Defined Radios for Wireless Communication with Improved Power Efficiency

Authors
R. Babar, M. Gaikwad, R. Kshirsagar
Corresponding Author
R. Babar
Available Online December 2016.
DOI
https://doi.org/10.2991/iccasp-16.2017.99How to use a DOI?
Keywords
Low power consumption, software defined radio, convolutional encoder, dynamic and partial reconfiguration, power gating.
Abstract
Radio is one of the most common things that people use around the world. Marconi developed it in 1895 and since then there is no stop in its development, some of the domains like the cognitive radio and Software de-fined radio have seen great advancements in communication. In the following paper, we will explore the soft-ware defined radio and various techniques to implement the radio. When we talk about the Software defined radio every aspect of its operation is performed by controlling software SDR transmitter and Receiver which are used. In this paper, we will focus on the discussion to examine the reconfigurability and low power trade-offs. We will be building dedicated functional modules providing high performance at a high cost (Velcro approach explained below), versus parameterizable function blocks used in FPGA-based system development, and lastly dynamic partial reconfiguration which is the ability to reconfigured a portion of the FPGA while still remaining in operation.
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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccasp-16.2017.99How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - R. Babar
AU  - M. Gaikwad
AU  - R. Kshirsagar
PY  - 2016/12
DA  - 2016/12
TI  - Advanced Software Defined Radios for Wireless Communication with Improved Power Efficiency
BT  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.99
DO  - https://doi.org/10.2991/iccasp-16.2017.99
ID  - Babar2016/12
ER  -