Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Power Allocation for Parallel Channels with One-bit Analog-to-digital Conversion

Authors
Zhide Li, Zhou Lv, Xuedan Zhang
Corresponding Author
Zhide Li
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.5How to use a DOI?
Keywords
Channel capacity; power allocation; precoding; quantization.
Abstract
In this paper, the problem of maximizing the mutual information of independent parallel Gaussian-noise channels is studied under an average power constraint with one-bit analog-to-digital (A/D) convertor. It is shown that the power allocation problem is a convex optimization problem, which can be solved efficiently. Meanwhile, the waterfilling interpretation for the power allocation problem is also given. Further, the combined 1bit/dimension vector quantizer and precoder design are studied in the 2 parallel independent channels. Simulation results demonstrate that substantial gain can be achieved compared to power allocation scheme especially when the difference of channel gains is large and the range of SNR is low to medium.
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Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.5How 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  - Zhide Li
AU  - Zhou Lv
AU  - Xuedan Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Power Allocation for Parallel Channels with One-bit Analog-to-digital Conversion
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 24
EP  - 29
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.5
DO  - https://doi.org/10.2991/icismme-15.2015.5
ID  - Li2015/07
ER  -