Title
Reconsidering Linear Transmit Signal Processing in 1-Bit Quantized Multi-User MISO Systems.
Abstract
In this contribution, we investigate a coarsely quantized multi-user multiple-input single-output downlink communication system, where we assume 1-bit digital-to-analog converters at the base station antennas. First, we analyze the achievable sum rate lower-bound using the Bussgang decomposition under new assumptions. In the presence of the non-linear quantization, our analysis indicates the potential merit of reconsidering traditional signal processing techniques in coarsely quantized systems, i.e., reconsidering transmit covariance matrices whose rank is equal to the rank of the channel. Furthermore, in the latter part of this paper, we propose a linear precoder design that achieves the predicted increase in performance compared with a state-of-the-art linear precoder design. Moreover, our linear signal processing algorithm allows for higher order modulation schemes to be employed.
Year
DOI
Venue
2019
10.1109/TWC.2018.2879106
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
MIMO communication,Downlink,Quantization (signal),Modulation,Wireless communication,Covariance matrices
Journal
abs/1802.10329
Issue
ISSN
Citations 
1
1536-1276
1
PageRank 
References 
Authors
0.35
26
5
Name
Order
Citations
PageRank
Candido, Oliver De121.71
Hela Jedda2346.94
Amine Mezghani336339.29
A. Lee Swindlehurst46429455.83
Josef A. Nossek5722138.59