Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume 68, Issue 8, Pages 2840-2844Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2021.3073059
Keywords
Multidimensional signal processing; phased arrays; analog-digital conversion
Categories
Funding
- U.S. National Science Foundation (NSF) [800010635]
Ask authors/readers for more resources
This study reduces the number of receivers and ADCs in wireless systems by exploiting directional sparsity, minimizing performance loss under certain conditions. By using a multidimensional linear transformation and combiner, significant reductions in ADC complexity can be achieved, with validation under sparsity conditions.
Wireless systems operating at mm-wave frequencies require dense antenna arrays to achieve directional gain for overcoming high path loss. Digital mm-wave arrays retain spatial degrees of freedom, but require a dedicated analog to data converter (ADC) per spatial channel, leading to undesirably high receiver complexity, large ADC count, and power consumption. This brief exploits directional sparsity to reduce the number of receivers and ADCs with minimal loss in performance. A multidimensional (MD) linear transformation using transmission lines and a K : 1 combiner is used to reduce the number of ADCs by a factor K. Simulations verify that the proposed method can lead to better than 50% ADC complexity reductions (for K >= 2) for linear arrays and more than 75% ADC complexity reduction (for K >= 4) for rectangular arrays when sparsity conditions are met. Unlike in analog-digital hybrid beamforming, where a phased-array combines K channels to a single ADC, the proposed method does not lead to loss of spatial degrees of freedom.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available