GIST Scholar
College of Artificial Intelligence
Department of Electrical Engineering and Computer Science
2. Conference Papers
Optimum Modulation Orders for 1-bit Compressively Sampled Signals in Multicarrier Transmission
- Type
- Conference Paper
- Citation
- 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
- Issued Date
- 2019-07-03
- Abstract
- In compressed sensing (CS), quantization is essential for efficient discretization in real systems, but its large bit depth increases hardware complexity and energy consumption. To overcome these issues, 1-bit CS is regarded as a new data acquisition technique. In this paper, we discover that there exist optimum modulation orders for orthogonal multicarrier transmission of 1-bit CS signals over wireless channels. In specific, we develop an upper bound on the reconstruction errors when modulated 1-bit CS signals are transmitted in multicarrier communications with a fixed number of subcarriers. In the upper bound, a tradeoff between the bit error probability and the quantization error is found over the orders of quadrature-amplitude modulation (QAM), which leads to the existence of an optimum modulation order minimizing the reconstruction errors. Simulation results demonstrate that the reconstruction performance of 1-bit CS is bounded by the theoretical upper bound, and subsequently confirm the existence of optimum modulation orders.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Conference Place
- FR
Cannes; France
- Appears in Collections:
- Department of Electrical Engineering and Computer Science > 2. Conference Papers
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