Uplink Achievable Rate for Massive MIMO Systems With Low-Resolution ADC
By Li Fan, Shi Jin, Chao-Kai Wen, Haixia Zhang. IEEE Communications Letters, 2015
342 citations recorded by the source corpus.
In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multiinput multioutput (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal-ratio combining technique are used at the receivers. To obtain this expression, we treat quantization noise as an additive quantization noise model. Considering the obtained expression, we show that low-resolution ADCs lead to a decrease in the achievable rate but the performance loss can be compensated by increasing the number of receiving antennas. In addition, we investigate the relation between the number of antennas and the ADC resolution, as well as the power-scaling law. These discussions support the feasibility of equipping highly economical ADCs with low resolution in practical massive MIMO systems.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/14bb8a701b823a45b2417375267414715b12717e
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In Electrical and Electronic Engineering
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Citations in the corpus
- Massive Access for 5G and Beyond (2020, background): “Since the ADC cost is mainly determined by the resolution of the quantization, a low-resolution ADC is preferred for massive access based on massive MIMO at the cost of a performance loss [116], [117].”
- Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems (2016, methodology): “Similar work in [30], [31] relied on an additive quantization noise model [32], [33] to approximate the rate, but it”
- Uplink Performance of Wideband Massive MIMO With One-Bit ADCs (2016, methodology): “The most related work appeared in [19] and [20], where achievable rates for massive MIMO with one-bit ADCs and lowresolution ADCs for frequency-flat channels were investigated.”