DocumentCode
2992264
Title
Analysis of 1-bit output noncoherent fading channels in the low SNR regime
Author
Mezghani, Amine ; Nossek, Josef A.
Author_Institution
Inst. for Circuit Theor. & Signal Process., Munich Univ. of Technol., Munich, Germany
fYear
2009
fDate
June 28 2009-July 3 2009
Firstpage
1080
Lastpage
1084
Abstract
We consider general multi-antenna fading channels with coarsely quantized outputs, where the channel is unknown to the transmitter and receiver. This analysis is of interest in the context of sensor network communication where low power and low cost are key requirements (e.g. standard IEEE 802.15.4 applications). This is also motivated by highly energy constrained communications devices where sampling the signal may be more energy consuming than processing or transmitting it. Therefore the analog-to-digital converters (ADCs) for such applications should be low-resolution, in order to reduce their cost and power consumption. In this paper, we consider the extreme case of only 1-bit ADC for each receive signal component. We derive asymptotics of the mutual information up to the second order in the signal-to-noise ratio (SNR) under average and peak power constraints and study the impact of quantization. We show that up to second order in SNR, the mutual information of a system with two-level (sign) output signals incorporates only a power penalty factor of almost ¿/2 (1.96 dB) compared to the system with infinite resolution for all channels of practical interest. This generalizes a recent result for the coherent case.
Keywords
analogue-digital conversion; antenna arrays; fading channels; quantisation (signal); signal sampling; wireless sensor networks; 1-bit output noncoherent fading channel analysis; analog-to-digital converters; energy constrained communication device; multi antenna system; sensor network communication; signal quantization; signal sampling; Analog-digital conversion; Communication standards; Context; Costs; Energy consumption; Fading; Mutual information; Signal processing; Signal sampling; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2009. ISIT 2009. IEEE International Symposium on
Conference_Location
Seoul
Print_ISBN
978-1-4244-4312-3
Electronic_ISBN
978-1-4244-4313-0
Type
conf
DOI
10.1109/ISIT.2009.5206045
Filename
5206045
Link To Document