Performance Analysis of Faster than Symbol Rate Sampling in 1-Bit Massive MIMO Systems

Date

2017-05-25

Author

Üçüncü, Ali Bulut
Yılmaz, Ali Özgür

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Low resolution analog-to-digital converters (ADC) attracted much attention lately for massive multiple-input multiple-output (MIMO) communication and systems with high bandwidth. Especially, 1-bit ADCs are suitable for such systems due to their low power consumption and cost. In this study, we illustrate the benefits of using faster than symbol rate (FTSR) sampling in an uplink massive MIMO system with 1-bit ADCs in terms of symbol error rate (SER). We show that FTSR sampling provides about 4 dB signal-to-noise ratio (SNR) advantage in terms of SER with a linear low complexity zero-forcing type receiver. We also obtain an analytical bound for the SER performance of uplink massive MIMO structures with 1-bit quantization for the FTSR sampling scenario for low, medium and high SNR regimes. The proposed analytical bound is also applicable to no FTSR sampling case and shown to yield more accurate results compared to some other analytical expressions in the literature. Our results establish a tradeoff between temporal oversampling and the number of receive antennas.

Subject Keywords

Narrow-band, Interference

URI

https://hdl.handle.net/11511/55490

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Department of Electrical and Electronics Engineering, Conference / Seminar