Abstract

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems have been considered as one of the primary candidates for the fifth generation (5G) and beyond 5G wireless communication networks to satisfy the ever-increasing capacity demands. Full-duplex technology can further enhance the advantages of mmWave massive MIMO systems. However, strong self-interference (SI) is the major limiting factor in full-duplex technology. Hence, this paper proposes a novel angular-based joint hybrid precoding/combining (AB-JHPC) technique for the full-duplex mmWave massive-MIMO systems. Our primary goals are listed as: (i) improving the self-interference cancellation (SIC), (ii) increasing the intended signal power, (iii) decreasing the channel estimation overhead, (iv) designing the massive MIMO systems with a low number of RF chains. First, the RF-stage of AB-JHPC is developed via slow time-varying angle-of-departure (AoD) and angle-of-arrival (AoA) information. A joint transmit/receive RF beamformer design is proposed for covering (excluding) the AoD/AoA support of intended (SI) channel. Second, the BB-stage of AB-JHPC is constructed via the reduced-size effective intended channel. After using the well-known singular value decomposition(SVD) approach at the BB-stage, we also propose a new semi-blind minimum mean square error (S-MMSE) technique to further suppress the residual SI power by using AoD/AoA parameters. The numerical results demonstrate that the SI signal is remarkably canceled via the proposed AB-JHPC technique. It is shown that AB-JHPC achieves 85.7 dB SIC and the total amount of SIC almost linearly increases via antenna isolation techniques. We observe that the proposed full-duplex mmWave massive MIMO systems double the achievable rate capacity compared to its half-duplex counterpart as the antenna array size increases and the transmit/receive antenna isolation improves.

Highlights

  • M ASSIVE multiple-input multiple-output (MIMO) systems operating in millimeter wave frequency bands are the primary candidates for fifth-generation (5G) and beyond 5G (B5G) wireless communication networks [1]–[4]

  • ILLUSTRATIVE RESULTS we evaluate the performance of the proposed angular-based joint hybrid precoding/combining (AB-JHPC) technique for the full-duplex millimeter wave (mmWave) massive MIMO systems

  • In addition to singular value decomposition (SVD), we have proposed a new semi-blind minimum mean square error (S-MMSE) technique in the BB-stage design, which seeks to suppress the power of far-field SI component by using the slow time-varying channel characteristics

Read more

Summary

Introduction

M ASSIVE multiple-input multiple-output (MIMO) systems operating in millimeter wave (mmWave) frequency bands are the primary candidates for fifth-generation (5G) and beyond 5G (B5G) wireless communication networks [1]–[4]. Massive MIMO systems with excessively large antenna arrays is a key technology to address the massive machine-type communications (mMTC) and enhanced mobile broadband (eMBB) requirements to support the development of various emerging applications (e.g., virtual reality, augmented reality, autonomous driving, Internet of Things, smart cities, etc.) [3]. For ensuring the sufficient received signal power and compensating the severe path loss, the massive MIMO technology is widely considered as a useful application in the mmWave communications [4]–[7]. Because the high beamforming gain in the massive MIMO systems can focus the signal energy through the desired limited-scattering regions [5]. The shorter wavelengths in the mmWave frequency enable the utilization large antenna arrays under the area requirements in practical applications [6]

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.