Machine Learning Based Hybrid Precoding for MmWave MIMO-OFDM with Dynamic Subarray

Sun, Yiwei; Gao, Zhen; Wang, Hua; Wu, Di

doi:10.1109/glocomw.2018.8644321

Cited by 15 publications

(9 citation statements)

References 21 publications

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“…As we mentioned before, all variables can be updated in the closed-form. Thus, we propose an iterative hybrid beamforming design algorithm (similar to the block coordinate descent (BCD) method) to effectively solve problem (13). The details of updating each variable are described in the following subsections.…”

Section: A Closed-form Fp-aided Transformationmentioning

confidence: 99%

“…Then, we turn to demonstrate the convergence of algorithm. Essentially, Algorithm 2 is a BCD algorithm for the reformulated problem (13) and there are four optimized variables needed to be updated. In each iteration, the optimal solution of ρ, ξ, and f BB l,k can be easily proved to be monotonic.…”

Section: E Convergence and Computational Complexity Analysismentioning

confidence: 99%

“…The stronger correlation, the more likely the antenna elements are to be assigned to the same antenna group. Fortunately, the Minkowski distance (i.e., x i − x j p ) is the definition of a group of distances and widely used for dynamic subarray design in literatures, such as [12], [13]. Specifically, when p = 2, the Minkowski distance is equivalent to the Euclidean distance.…”

Section: B Dynamic Subarray Architecturementioning

confidence: 99%

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User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems

Liu

et al. 2022

IEEE Trans. on Signal and Inf. Process. over Networks

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Hybrid analog and digital beamforming has emerged as a key enabling technology for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communication systems since it can balance the trade-off between system performance and hardware efficiency. Owing to the strong ability of central control, cooperative networks show great potential to enhance the spectral efficiency of mmWave communications. In this paper, we consider cooperative mmWave MIMO systems and propose user association and hybrid beamforming design algorithms for three typical hybrid beamforming architectures. The central processing unit (CPU) of the cooperative networks first matches the service pairs of base stations (BSs) and users. Then, an iterative hybrid beamforming design algorithm is proposed to maximize the weighted achievable sum-rate performance of the mmWave MIMO system with fully connected hybrid beamforming architecture. Moreover, a heuristic analog beamforming design algorithm is introduced for the fixed subarray hybrid beamforming architecture. In an effort to further exploit multiple-antenna diversities, we also consider the dynamic subarray architecture and propose a novel antenna design algorithm for the analog beamforming design. Simulation results illustrate that the proposed hybrid beamforming algorithms achieve a significant performance improvement than other existing approaches and the dynamic subarray architecture has great advantages of improving the energy efficiency (EE) performance.

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Section: A Closed-form Fp-aided Transformationmentioning

confidence: 99%

Section: E Convergence and Computational Complexity Analysismentioning

confidence: 99%

Section: B Dynamic Subarray Architecturementioning

confidence: 99%

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User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems

Liu

et al. 2022

IEEE Trans. on Signal and Inf. Process. over Networks

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“…Finally, we conclude this paper in Section VII. This paper was presented in part at the IEEE GLOBE-COM'18 [43], [44]. Except for the work presented in [43], [44], the unique contribution of this paper is the expansion of the PCS structure on hybrid combiner and the evaluation of the performance, including the EE performance of the system, the computational complexity of the antenna grouping algorithm, the robustness of antenna grouping algorithm to time-varying channel, and the robustness to channel perturbation.…”

Section: B Our Contributionsmentioning

confidence: 99%

Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems

Sun

Gao

Wang

et al. 2019

Preprint

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Hybrid analog-digital precoding is challenging for broadband millimeter-wave (mmWave) massive MIMO systems, since the analog precoder is frequency-flat but the mmWave channels are frequency-selective. In this paper, we propose a principal component analysis (PCA)-based broadband hybrid precoder/combiner design, where both the fully-connected array and partially-connected subarray (including the fixed and adaptive subarrays) are investigated. Specifically, we first design the hybrid precoder/combiner for fully-connected array and fixed subarray based on PCA, whereby a low-dimensional frequency-flat precoder/combiner is acquired based on the optimal high-dimensional frequency-selective precoder/combiner. Meanwhile, the near-optimality of our proposed PCA approach is theoretically proven. Moreover, for the adaptive subarray, a low-complexity shared agglomerative hierarchical clustering algorithm is proposed to group the antennas for the further improvement of spectral efficiency (SE) performance. Besides, we theoretically prove that the proposed antenna grouping algorithm is only determined by the slow time-varying channel parameters in the large antenna limit. Simulation results demonstrate the superiority of the proposed solution over state-of-the-art schemes in SE, energy efficiency (EE), bit-error-rate performance, and the robustness to time-varying channels. Our work reveals that the EE advantage of adaptive subarray over fully-connected array is obvious for both active and passive antennas, but the EE advantage of fixed subarray only holds for passive antennas.

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“…Furthermore, the capacity-oriented adaptive transmit antenna selection (ATAS) based on principal component analysis (PCA) is proposed for mmWave LOS MIMO channel. PCA is a statistical procedure that uses orthogonal transformation to convert a set of correlated variables into a set of linearly uncorrelated variables [29], [30]. The proposed ATAS based on PCA can adaptively determine the number and indices of transmit antennas according to the channel conditions.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Transmit Antenna Selection Based on PCA for Millimeter Wave LOS MIMO Channel

Zhu

Wang

et al. 2019

IEEE Access

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Uniform rectangular antenna array (URA) is a commonly used antenna array in multiple-input multiple-output (MIMO) system. However, the existing works rarely concentrate on URA in millimeterwave (mmWave) line-of-sight (LOS) MIMO channels. In this paper, we conduct research on the pointto-point mmWave LOS MIMO channel based on URA. We derive the optimal antenna deployment for URA to obtain the maximum multiplexing gain in mmWave LOS MIMO channel. For the URA with fixed parameters, as the distance between transmitter and receiver increases, some singular values of the channel matrix tend to be 0. In this case, it is not necessary to use all of the transmit antennas. Therefore, according to the two kinds of channel-state information feedback schemes, we propose two adaptive transmit antenna selection (ATAS) schemes based on the principal component analysis for this mmWave LOS MIMO channel. The computational complexity for the proposed algorithm is also derived. Numerical results show that the channel capacity of this proposed ATAS system can approach or even surpass that of the full transmit antenna system with equal power allocation in mmWave LOS MIMO channel. Compared with transmit antenna selection based on greedy search and exhaustive search algorithm, when the distance is longer, the proposed algorithm can achieve the near-optimal performance with much lower computational complexity. INDEX TERMSMillimeter-wave (mmWave), uniform rectangular antenna array (URA), line-ofsight (LOS), multiple-input multiple-output (MIMO), adaptive transmit antenna selection (ATAS), principal component analysis (PCA).

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Machine Learning Based Hybrid Precoding for MmWave MIMO-OFDM with Dynamic Subarray

Cited by 15 publications

References 21 publications

User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems

User Association and Hybrid Beamforming Designs for Cooperative mmWave MIMO Systems

Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems

Adaptive Transmit Antenna Selection Based on PCA for Millimeter Wave LOS MIMO Channel

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