Low SNR Asymptotic Rates of Vector Channels With One-Bit Outputs

被引:7
|
作者
Mezghani, Amine [1 ]
Nossek, Josef A. [2 ,3 ]
Swindlehurst, A. Lee [4 ,5 ]
机构
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 2N2, Canada
[2] Tech Univ Munich, Dept Elect & Comp Engn, D-80333 Munich, Germany
[3] Univ Fed Ceara, BR-60020181 Fortaleza, Ceara, Brazil
[4] Tech Univ Munich, Inst Adv Study, D-85748 Garching, Germany
[5] Univ Calif Irvine, Dept EECS, Irvine, CA 92697 USA
基金
美国国家科学基金会;
关键词
Massive MIMO communication; broadband regime; one-bit quantization; mutual information; optimal input distribution; ergodic capacity; millimeter-wave communications; MASSIVE MIMO; CELLULAR WIRELESS; CAPACITY ANALYSIS; FADING CHANNELS; COMMUNICATION; SYSTEMS; UPLINK; INFORMATION; TECHNOLOGY;
D O I
10.1109/TIT.2020.3030855
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We analyze the performance of multiple-input multiple-output (MIMO) links with one-bit output quantization in terms of achievable rates and characterize their performance loss compared to unquantized systems for general channel statistical models and general channel state information (CSI) at the receiver. One-bit ADCs are particularly suitable for large-scale millimeter wave MIMO Communications (massive MIMO) to reduce the hardware complexity. In such applications, the signal-to-noise ratio per antenna is rather low due to the propagation loss. Thus, it is crucial to analyze the performance of MIMO systems in this regime by means of information-theoretical methods. Since an exact and general information-theoretic analysis is not possible, we resort to the derivation of a general asymptotic expression for the mutual information in terms of a second-order expansion around zero SNR. We show that up to second order in the SNR, the mutual information of a system with two-level (sign) output signals incorporates only a power penalty factor of pi/2 (1.96 dB) compared to systems with infinite resolution for all channels of practical interest with perfect or statistical CSI. An essential aspect of the derivation is that we do not rely on the common pseudo-quantization noise model.
引用
收藏
页码:7615 / 7634
页数:20
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