Energy-Efficient Adaptive MIMO Decoders
Energy-Efficient Adaptive MIMO Decoders
Energy efficiency is a primary design goal of
modern wireless communication systems, especially those
deployed in portable devices such as mobile phones. This paper
presents a novel concept, which allows energy-efficient systems to
exploit the changing nature of their environment in order to save
power. This concept is employed to design an advanced MIMO
decoder, which continuously monitors the signal-to-noise ratio
(SNR) and re-configures its hardware in order to minimize its
energy consumption. The design is implemented in 65nm
technology in order to evaluate its performance and costs. The
results show that the proposed adaptive architecture can achieve
up to 50% of energy consumption savings compared to existing
designs at the cost of an increased area overhead.
Halak, Basel
8221f839-0dfd-4f81-9865-37def5f79f33
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hu, Qiongda
ef3240c2-496a-4ee5-b2d5-dd93b634b820
Lu, Yue
8697c7d2-791d-45ce-84db-fd2a715c396d
Halak, Basel
8221f839-0dfd-4f81-9865-37def5f79f33
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hu, Qiongda
ef3240c2-496a-4ee5-b2d5-dd93b634b820
Lu, Yue
8697c7d2-791d-45ce-84db-fd2a715c396d
Halak, Basel, El-Hajjar, Mohammed, Hu, Qiongda and Lu, Yue
(2015)
Energy-Efficient Adaptive MIMO Decoders.
Science and Information Conference.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Energy efficiency is a primary design goal of
modern wireless communication systems, especially those
deployed in portable devices such as mobile phones. This paper
presents a novel concept, which allows energy-efficient systems to
exploit the changing nature of their environment in order to save
power. This concept is employed to design an advanced MIMO
decoder, which continuously monitors the signal-to-noise ratio
(SNR) and re-configures its hardware in order to minimize its
energy consumption. The design is implemented in 65nm
technology in order to evaluate its performance and costs. The
results show that the proposed adaptive architecture can achieve
up to 50% of energy consumption savings compared to existing
designs at the cost of an increased area overhead.
More information
Accepted/In Press date: 28 April 2015
Venue - Dates:
Science and Information Conference, 2015-04-28
Organisations:
EEE
Identifiers
Local EPrints ID: 379581
URI: http://eprints.soton.ac.uk/id/eprint/379581
PURE UUID: 4d8b435f-0bb7-405c-9ae5-fb2242b59883
Catalogue record
Date deposited: 27 Jul 2015 13:44
Last modified: 15 Mar 2024 03:42
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Contributors
Author:
Basel Halak
Author:
Mohammed El-Hajjar
Author:
Qiongda Hu
Author:
Yue Lu
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