A Dynamic Array-of-Subarrays Architecture and Hybrid Precoding Algorithms for Terahertz Wireless Communications

Terahertz (THz) communications are envisioned as a key technology for 6G wireless systems, owing to an unprecedented promised multi-GHz bandwidth. While THz band suffers from huge propagation losses, large arrays of sub-millimeter wavelength antennas can be realized in ultra-massive multiple-input m...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2020-09, Vol.38 (9), p.2041-2056
Main Authors: Yan, Longfei, Han, Chong, Yuan, Jinhong
Format: Article
Language:English
Subjects:
Algorithms
Antenna arrays
Architecture
Bandwidths
Computer architecture
Computer simulation
dynamic array-of-subarrays
Gain
hybrid precoding
MIMO (control systems)
Power consumption
Power demand
Power management
Precoding
Radio frequency
Switches
Terahertz band
Terahertz frequencies
Wave propagation
Wireless communication
Wireless communications
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Summary:Terahertz (THz) communications are envisioned as a key technology for 6G wireless systems, owing to an unprecedented promised multi-GHz bandwidth. While THz band suffers from huge propagation losses, large arrays of sub-millimeter wavelength antennas can be realized in ultra-massive multiple-input multiple-output (UM-MIMO) systems to enhance the received power and overcome the distance limitation. In this paper, a dynamic array-of-subarrays (DAoSA) hybrid precoding architecture is proposed to reduce the power consumption while meeting the data rate requirement in THz UM-MIMO systems. The connections between RF chains and subarrays are intelligently adjusted through a network of switches. First, to solve the intractable DAoSA hybrid precoding problem, element-by-element (EBE) and vectorization-based (VEC) algorithms are derived. Moreover, to determine the connections of the switches, near-optimal progressive stage-by-stage (PSBS), low-complexity alternating-selection (AS) and block-diagonal-search (BDS) algorithms are developed. Extensive simulation results show that both the EBE and VEC algorithms have higher spectral efficiency than existing hybrid precoding algorithms. Furthermore, the power consumption of the DAoSA architecture is substantially lessened, with PSBS, AS and BDS algorithms, respectively. The developed DAoSA architecture associated with proposed hybrid precoding and switch network design algorithms demonstrates a superior capability on balancing the spectral efficiency and power consumption.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2020.3000876