A Family of Practical Hybrid Precoding Algorithms for Rank-Deficient Millimeter-Wave MIMO Systems

Xiaolei Qi,Yuanan Liu,Gang Xie,Ming Zhu

doi:10.1109/access.2019.2949380

Xiaolei Qi, Yuanan Liu + Show 2 more

Open Access

https://doi.org/10.1109/access.2019.2949380

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Abstract

Hybrid precoding (HP) techniques based on partially connected structure (PCS) are widely studied in millimeter-wave (mmWave) MIMO communication systems due to low hardware cost as well as low energy consumption. Many efficient HP schemes based on PCS have recently been proposed, which require that the baseband precoding (BP) matrix of the digital domain to be a diagonal or square matrix. To avoid the interference from multiple streams of a single-user, the number of data streams for a single-user should not exceed the rank of the equivalent baseband MIMO channel (EBMC) before BP. Hence, these schemes are only reliable to the case that the EBMC matrix is full rank. However, the EBMC matrix may be rank-deficient due to the geometrical change and misplacement of the transceiver in practice. In this paper, we focus on the HP with PCS and propose a family of effective iterative matrix factorization (IMF) algorithms for HP designs, which are suitable for rank-deficient EBMC. We firstly propose an IMF-HP algorithm based on traditional design, which approximates the performance of the fully digital precoder by utilizing an alternate optimization strategy. In particular, we present a successive interference cancelation combined with IMF for HP design (SiC-IMF-HP) to further achieve higher throughput and lower complexity. Simulation results show that the proposed SiC-IMF-HP algorithm performs better than other recently proposed hybrid precoding schemes based on PCS when the number of data streams equals to the number of RF chains. The proposed algorithms both enjoy an acceptable computational complexity.

Highlights

With the demand for high-data-rate wireless communication traffic continuing to expand and increase, we require that the capacity of wireless networks must increase exponentially
We focus on the Hybrid precoding (HP) with partially connected structure (PCS) and propose a family of effective iterative matrix factorization (IMF) algorithms for practical HP designs, which are suitable for rank-deficient equivalent baseband MIMO channel (EBMC)
HYBRID PRECODING DESIGN FOR THE SINGLE USER MMWAVE CHANNEL In this paper, we focus on the HP with PCS and propose a family of effective iterative matrix factorization (IMF) algorithms for HP designs, which do not restrict baseband precoding (BP) matrix to a diagonal or square matrix to guarantee a reliable communication

Summary

INTRODUCTION

With the demand for high-data-rate wireless communication traffic continuing to expand and increase, we require that the capacity of wireless networks must increase exponentially. The FDP scheme is not a good option for the precoding of mmWave massive MIMO systems because it requires too many RF chains, which leads to a high cost and energy consumption. To solve this problem, hybrid precoding (HP) architectures consisting of both baseband and analog precoding have recently been studied [11]–[19], which reduce the requirement for the number of RF chains by digital beamforming and remedy the defect of constant modulus constraint for the elements in analog beamforming [20], [21]. IN denotes the N × N identity matrix, and 0M×N denotes the M × N all-zero matrix

SYSTEM MODEL

COMPLEXITY ANALYSIS

SMULATION RESULTS

CONCLUSION