Iterative Matrix Decomposition Aided Block Diagonalization for mm-Wave Multiuser MIMO Systems

Rajashekar, Rakshith; Hanzo, Lajos

doi:10.1109/twc.2016.2628357

Cited by 90 publications

(61 citation statements)

References 29 publications

(83 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5) The subproblem w.r.t V RF : The variable V RF only appears in the summand of the second term of the objective of (13). Thus, the subproblem with respect to V RF is given by…”

Section: A Equivalent Formulations Of (4)mentioning

confidence: 99%

“…Hence, we can conclude that the PDD method converges to the set of KKT solutions of problem (4) according to the results of Proposition 4.1 and Corollary 3.1. (13)…”

Section: A Equivalent Formulations Of (4)mentioning

confidence: 99%

“…The authors of [12] proposed equal-gaintransmission-based analog beamforming combined with block diagonalization (BD) based digital precoding for generic channel setup. By exploiting the knowledge of angle of departure, the work [13] proposed iterative matrix decomposition based BD for mmWave multiuser MIMO systems. In [14], the authors first proposed a low complexity mmWave channel estimation algorithm for multiuser mmWave systems with single RF chain at each user and then designed a hybrid analog precoding and digital zero-forcing precoding scheme based on the channel estimations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems

Shi

Mei

2018

IEEE J. Sel. Top. Signal Process.

104

124

View full text Add to dashboard Cite

As a key enabling technology for 5G wireless, millimeter wave (mmWave) communication motivates the utilization of large-scale antenna arrays for achieving highly directional beamforming. However, the high cost and power consumption of RF chains stands in the way of adoption of the optimal fullydigital precoding in large-array systems. To reduce the number of RF chains while still maintaining the spatial multiplexing gain of large-array, hybrid precoding architecture has been proposed for mmWave systems and received considerable interest in both industry and academia. However, the optimal hybrid precoding design has not been fully understood, especially for the multi-user MIMO case. This paper is the first work that directly addresses the nonconvex hybrid precoding problem of mmWave multi-user MIMO systems (without any approximation) by using penalty dual decomposition (PDD) method. The proposed PDD method have a guaranteed convergence to KKT solutions of the hybrid precoding problem under a mild assumption. Simulation results show that, even when both the transmitter and the receivers are equipped with the fewest RF chains that are required to support multi-stream transmission, hybrid precoding can still approach the performance of fully-digital precoding in both the infinite resolution phase shifter case and the finite resolution phase shifter case with several bits quantization.

show abstract

“…5) The subproblem w.r.t V RF : The variable V RF only appears in the summand of the second term of the objective of (13). Thus, the subproblem with respect to V RF is given by…”

Section: A Equivalent Formulations Of (4)mentioning

confidence: 99%

“…Hence, we can conclude that the PDD method converges to the set of KKT solutions of problem (4) according to the results of Proposition 4.1 and Corollary 3.1. (13)…”

Section: A Equivalent Formulations Of (4)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems

Shi

Mei

2018

IEEE J. Sel. Top. Signal Process.

104

124

View full text Add to dashboard Cite

show abstract

“…In this regard, we would like to briefly discuss the extension of the proposed hybrid beamforming scheme to the multiantenna user case where multiple data streams per user are supported. The key idea is to integrate the proposed Kronecker analog beamforming technique and the powerful block diagonalization technique [37], [39] and also the eigenmode beamforming technique (also called SVD beamforming) to tackle the inter-cell interference, inter-user interference (within the same cell) and inter-stream interference (within the same user) in this scenario. Specifically, the Kronecker analog beamforming can be first designed based on the original multi-path channel to cancel the inter-cell interference and enhance the data signal paths as presented earlier.…”

Section: B Extension To the Multi-antenna User Casementioning

confidence: 99%

Hybrid Beamforming via the Kronecker Decomposition for the Millimeter-Wave Massive MIMO Systems

Zhu

Huang

Lau

et al. 2017

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

Millimeter-Wave (mmWave) massive multiple-input multiple-output (MIMO) seamlessly integrates two wireless technologies, mmWave communications and massive MIMO, which provides spectrums with tens of GHz of total bandwidth and supports aggressive space division multiple access using large-scale arrays, respectively. Though it is a promising solution for next-generation systems, the realization of mmWave massive MIMO faces several practical challenges. In particular, implementing massive MIMO in the digital domain requires hundreds to thousands of radio frequency (RF) chains and analog-to-digital converters matching the number of antennas. Furthermore, designing these components to operate at the mmWave frequencies is challenging and costly. These motivated the recent development of the hybrid-beamforming architecture where MIMO signal processing is divided for separate implementation in the analog and digital domains, called the analog and digital beamforming, respectively. Analog beamforming using a phase array introduces uni-modulus constraints on the beamforming coefficients. They render the conventional MIMO techniques unsuitable and call for new designs. In this paper, we present a systematic design framework for hybrid beamforming for multi-cell multiuser massive MIMO systems over mmWave channels characterized by sparse propagation paths. The framework relies on the decomposition of analog beamforming vectors and path observation vectors into Kronecker products of factors being uni-modulus vectors. Exploiting properties of Kronecker mixed products, different factors of the analog beamformer are designed for either nulling interference paths or coherently combining data paths. Furthermore, a channel estimation scheme is designed for enabling the proposed hybrid beamforming. The scheme estimates the angles-of-arrival (AoA) of data and interference paths by analog beam scanning and data-path gains by analog beam steering. The performance of the channel estimation scheme is analyzed. In particular, the AoA spectrum resulting from beam scanning, which displays the magnitude distribution of paths over the AoA range, is derived in closed-form. It is shown that the inter-cell interference level diminishes inversely with the array size, the square root of pilot sequence length and the spatial separation between paths, suggesting different ways of tackling pilot contamination.

show abstract

“…Nearly all previous work on hybrid beamforming for mmW systems uses block diagonalization method such as [23][24][25][26][27] since it has low complexity. Thus, a hybrid beamforming method based on the block diagonalization technique is proposed in this study.…”

Section: Proposed Suboptimal Transceiver Designmentioning

confidence: 99%

Suboptimal Frequency-Selective Transceiver Design for Multicarrier Millimeter Wave MIMO Systems

Kabaoglu¹

2018

IU-JEEE

View full text Add to dashboard Cite

With intelligent devices taking an important role in our lives, demand for high data rate and system capacity is increasing day by day. The Long Term Evolution (LTE) standard, which is the standard of today's fourth-generation (4G) systems, has been able to meet these demands to a certain extent by using Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO) technology on a network designed from the outset. However, with the extraordinary demand for applications that require more bandwidth, such as very high resolution video applications, the contradiction between capacity requirements and spectrum constraints has become more apparent. It is not possible to meet this demand with existing cellular network technology, which has a very limited bandwidth and a fairly crowded spectrum. Due to the aforementioned bandwidth bottleneck, research has been initiated to provide innovative solutions for 5G cellular communication systems to support the total mobile user network traffic expected to increase 1000 times by 2020 [1]. Millimeter wave (mmW) communication for physical layers of personal Wireless Area Networks (WPAN), Local Area Networks (LAN) and Metropolitan Area Networks (MAN) has already been standardized [2,3] and has a data rate potential of Gbits at the moment, mmW communication has also become a strong candidate for 5G cellular networks.The mmW band is the frequency range defined as 30 GHz -300 GHz (3 GHz to 30 GHz according to some studies). There are several advantages to be gained by using mmW band in 5G cellular networks. The first one of them is that the mmW band provides a wide spectrum. The other is that the communication in this band is short-range one due to the severe path loss, and thus it is possible to reuse the frequency at short distances and hence it is possible to extremely increase the capacity. Another is that very high data rates can be achieved by communicating with antenna arrays consisting of several ABSTRACTFifth-generation (5G) cellular communication systems aim to obtain a higher data rate, decreased latency time, higher performance even at high mobility speeds, decreased system complexity, lower transmission cost, and an increased system capacity and coverage area. Many of these goals can be achieved because of the studies devoted to the physical layer of 5G cellular networks. In this respect, solutions to the problems of beamforming (steering and precoding or precoding and combining) and channel estimation that are encountered in the physical layer of 5G cellular networks are the key points to achieve the aforementioned goals. Thus, a two-stage beamforming method is proposed in this study. The proposed method is a suboptimal method that minimizes the difference between outputs obtained when fully digital and hybrid beamforming methods are used. The analytical results, which are validated through simulations, demonstrate that the proposed method is an effective solution and, hence, the preferred beamforming approach for 5G millimeter wave band-b...

show abstract

Iterative Matrix Decomposition Aided Block Diagonalization for mm-Wave Multiuser MIMO Systems

Cited by 90 publications

References 29 publications

Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems

Spectral Efficiency Optimization For Millimeter Wave Multiuser MIMO Systems

Hybrid Beamforming via the Kronecker Decomposition for the Millimeter-Wave Massive MIMO Systems

Suboptimal Frequency-Selective Transceiver Design for Multicarrier Millimeter Wave MIMO Systems

Contact Info

Product

Resources

About