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Hybridly Connected Structure for Hybrid Beamforming in mmWave Massive MIMO Systems
- Source :
- IEEE Transactions on Communications. 66:662-674
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- In this paper, we propose a hybridly connected structure for hybrid beamforming in millimeter-wave (mmWave) massive MIMO systems, where the antenna arrays at the transmitter and receiver consist of multiple sub-arrays, each of which connects to multiple radio frequency (RF) chains, and each RF chain connects to all the antennas corresponding to the sub-array. In this structure, through successive interference cancelation, we decompose the precoding matrix optimization problem into multiple precoding sub-matrix optimization problems. Then, near-optimal hybrid digital and analog precoders are designed through factorizing the precoding sub-matrix for each sub-array. Furthermore, we compare the performance of the proposed hybridly connected structure with the existing fully and partially connected structures in terms of spectral efficiency, the required number of phase shifters, and energy efficiency. Finally, simulation results are presented to demonstrate that the spectral efficiency of the hybridly connected structure is better than that of the partially connected structure and that its spectral efficiency can approach that of the fully connected structure with the increase in the number of RF chains. Moreover, the proposed algorithm for the hybridly connected structure is capable of achieving higher energy efficiency than existing algorithms for the fully and partially connected structures.
- Subjects :
- Engineering
business.industry
MIMO
Transmitter
020302 automobile design & engineering
020206 networking & telecommunications
02 engineering and technology
Spectral efficiency
Precoding
Spatial multiplexing
0203 mechanical engineering
0202 electrical engineering, electronic engineering, information engineering
Zero-forcing precoding
Electronic engineering
Radio frequency
Electrical and Electronic Engineering
Antenna (radio)
business
Computer Science::Information Theory
Subjects
Details
- ISSN :
- 00906778
- Volume :
- 66
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi...........750e0acfba7f35faa42a0829350579a0