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篇名 |
A Joint Iterative Quantization and Channel Estimation Scheme for One-Bit Massive MIMO Systems
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並列篇名 | A Joint Iterative Quantization and Channel Estimation Scheme for One-Bit Massive MIMO Systems |
作者 | Shuhui Zhong、Ziwei Zheng |
英文摘要 | We consider the channel estimation problem for uplink multiuser massive MIMO systems with one-bit analog-todigital converters (ADCs). The problem of optimal onebit quantization thresholds is studied in this paper. Our analysis reveals that, if the quantization thresholds are optimally devised, using one-bit ADCs can achieve an estimation error close to (only increase by a factor of π/2) that of an ideal clairvoyant estimator using unquantized data. The optimal quantization thresholds, however, are dependent on the unknown channel parameters. To cope with this difficulty, we propose an Iterative Quantization (IQ) approach in which the thresholds are adaptively adjusted in a way such that the thresholds converge to the optimal thresholds. Simulation results show that our proposed iterative quantization scheme presents a similar performance compared with traditional channel estimation with full resolution ADCs. |
起訖頁 | 051-059 |
關鍵詞 | Massive MIMO systems、channel estimation、one-bit quantization design、Cramér-Rao bound (CRB) |
刊名 | 網際網路技術學刊 |
期數 | 202001 (21:1期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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