Rassouli, B and Varasteh, M and Gündüz, D (2018) Gaussian multiple access channels with one-bit quantizer at the receiver. Entropy, 20 (9). p. 686. DOI https://doi.org/10.3390/e20090686
Rassouli, B and Varasteh, M and Gündüz, D (2018) Gaussian multiple access channels with one-bit quantizer at the receiver. Entropy, 20 (9). p. 686. DOI https://doi.org/10.3390/e20090686
Rassouli, B and Varasteh, M and Gündüz, D (2018) Gaussian multiple access channels with one-bit quantizer at the receiver. Entropy, 20 (9). p. 686. DOI https://doi.org/10.3390/e20090686
Abstract
The capacity region of a two-transmitter Gaussian multiple access channel (MAC) under average input power constraints is studied, when the receiver employs a zero-threshold one-bit analogue-to-digital converter (ADC). It is proven that the input distributions of the two transmitters that achieve the boundary points of the capacity region are discrete. Based on the position of a boundary point, upper bounds on the number of the mass points of the corresponding distributions are derived. Furthermore, a lower bound on the sum capacity is proposed that can be achieved by time division with power control. Finally, inspired by the numerical results, the proposed lower bound is conjectured to be tight.
Item Type: | Article |
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Additional Information: | 25 pages, 3 figures, revised version submitted to IEEE Transactions on Information Theory |
Uncontrolled Keywords: | Gaussian multiple access channel; one-bit quantizer; capacity region |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Nov 2018 13:57 |
Last Modified: | 30 Oct 2024 17:28 |
URI: | http://repository.essex.ac.uk/id/eprint/23442 |
Available files
Filename: entropy-20-00686-v2.pdf
Licence: Creative Commons: Attribution 3.0