Abstract
This letter offers a new frequency domain equalization (FDE) scheme that can work with a pseudo-random quantization (PRQ) scheme utilizing non-zero threshold quantization in one-bit uplink multi-user massive multiple-input multiple-output (MIMO) systems to mitigate quantization distortion and support high-order modulation schemes. The equalizer is based on Newton's method (NM) and applicable for orthogonal frequency division multiplexing (OFDM) transmission under frequency-selective fading by exploiting the properties of massive MIMO. We develop a low-complexity FDE scheme to obtain a quasi-Newton method. The proposed detector outperforms the benchmark detector with comparable complexity.
Original language | English |
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Article number | 10426747 |
Pages (from-to) | 917-921 |
Number of pages | 5 |
Journal | IEEE Communications Letters |
Volume | 28 |
Issue number | 4 |
Early online date | 7 Feb 2024 |
DOIs | |
Publication status | Published - 1 Apr 2024 |
Funding
The work of G. Yılmaz was supported by Vodafone Turkey within the framework of 5G and Beyond Joint Graduate Support Program coordinated by the Information and Communication Technologies Authority of Turkey.
Funders | Funder number |
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Vodafone Turkey |
Keywords
- Computer Science - Information Theory
- Electrical Engineering and Systems Science - Signal Processing
- OFDM
- Massive MIMO
- one-bit analog-to-digital converter (ADC)
- frequency domain equalization (FDE)
- pseudo-random quantization (PRQ)
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Dive into the research topics of 'Quasi-Newton FDE in One-Bit Pseudo-Randomly Quantized Massive MIMO-OFDM Systems'. Together they form a unique fingerprint.Prizes
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Bronze Medal at ISIF’24 for the “1-Bit Quasi-Newton Detector”
Yılmaz, G. (Recipient) & Yılmaz, A. Ö. (Recipient), Oct 2024
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific