Millimeter Wave Systems for Wireless Cellular Communications

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Copyright: Zhao, Lou
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Abstract
This thesis considers channel estimation and multiuser (MU) data transmission for time division duplex (TDD) massive multiple-input multiple-output (MIMO) systems with fully digital/hybrid structures in millimeter wave (mmWave) channels. The work reported in this thesis contains novel mmWave transmission schemes and performance analysis, which provides insights into the design of hybrid mmWave networks. It contains three main contributions. In this thesis, we first propose a tone-based linear search algorithm to facilitate the estimation of angle-of-arrivals (AoAs) of the strongest line-of-sight channel components as well as scattering components of the users at the base station (BS) with fully digital structure. Our results show that the proposed maximum-ratio transmission (MRT) based on the strongest components can achieve a higher data rate than that of the conventional MRT, under the same mean squared errors (MSE) of channel estimation. In addition, we quantify the achievable rate degradation due to phase quantization errors and propose an angular domain user scheduling algorithm for mmWave systems to improve the users’ receive signal-to-interference-plus-noise ratio (SINR). Second, we develop a low-complexity channel estimation and beamformer/precoder design scheme for hybrid mmWave systems, which utilizes tone signals and orthogonal pilots for the design of analog beamforming matrices and digital precoding matrices, respectively. In addition, the proposed scheme applies to both non-sparse and sparse mmWave channel environments. We then leverage the proposed scheme to investigate the downlink achievable rate performance. The results show that the proposed scheme obtains a considerable achievable rate of fully digital systems. Taking into account the effect of various types of errors, we investigate the achievable rate performance degradation of the considered scheme. Third, we extend our proposed scheme to a multi-cell MU mmWave MIMO network. We derive the closed-form approximation of the normalized MSE of channel estimation under pilot contamination over Rician fading channels. Furthermore, we derive a tight closed-form approximation and the scaling law of the average achievable rate. Our results unveil that channel estimation errors, the intra-cell interference, and the inter-cell interference caused by pilot contamination over Rician fading channels can be efficiently mitigated by simply increasing the number of antennas equipped at the desired BS.
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Author(s)
Zhao, Lou
Supervisor(s)
Yuan, Jinhong
Ng, Derrick Wing Kwan
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Publication Year
2018
Resource Type
Thesis
Degree Type
PhD Doctorate
UNSW Faculty
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download public version.pdf 1.64 MB Adobe Portable Document Format
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