DocumentCode :
2033941
Title :
Energy-efficient adaptive MIMO decoders
Author :
Halak, Basel ; El-Hajjar, Mohammed ; Hu, Qiongda ; Lu, Yue ; Li, Qingqiang ; Qiang, Yang
Author_Institution :
School of ECS, University of Southampton, SO17 1BJ, United Kingdom
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
1140
Lastpage :
1143
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.
Keywords :
Adaptive systems; Bit error rate; Complexity theory; Decoding; MIMO; Quality of service; Signal to noise ratio; Adaptive Architecture; Energy efficiency; MIMO; SNR;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Information Conference (SAI), 2015
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/SAI.2015.7237287
Filename :
7237287
Link To Document :
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