Multiuser Beam Allocation for Millimeter Wave Massive MIMO Systems

Sun, Xuyao; Qi, Chenhao

doi:10.1109/icc.2019.8761756

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…The mmWave frequencies support packing a large number of antenna elements into small form factors [2], [274]. Nonetheless, beamforming is employed as a default method for mmWave massive MIMO systems, which typically requires continuous and accurate alignment.…”

Section: A Beam Alignment and Selection Algorithmmentioning

confidence: 99%

“…The highly directional beamforming gain realized needs to be aligned by an optimal hybrid precoding design since the analog circuit can only adjust the signal phase [2]. Therefore, directional mmWave beam alignment with the main channel path is essential for the high-dimensional analog RF precoding design, which determines the resulting beamforming gain and, consequently, the achievable rate [274]. Typically, there are two essential challenges in mmWave beamforming for mobile scenarios.…”

Section: A Beam Alignment and Selection Algorithmmentioning

confidence: 99%

“…The mmWave massive MIMO will almost certainly apply HP with a reduced number of RF chain, to decompose the full-digital precoder via a high-dimensional analog precoder and a low-dimensional digital precoder [2], [6], [274], [277]. Benefits in hybrid analog-digital precoding are driven by the realization that the number of RF chains is constrained (at the transmitter) to be lower-bounded by the number of transmitted data streams [263].…”

Section: B Hybrid Analog-digital Precoding and Combining Architecturesmentioning

confidence: 99%

“…Therefore, full-digital precoding which is realized at baseband presents increased flexibility with higher degrees of freedom (DoF) to realize efficient precoding algorithms. The full-digital baseband precoding can be realize entirely using analog precoding via a network of phase shifters, which controls only the signal phase before analog RF upconversion or after the upconversion stage [274]. However, analog precoding is subject to constant modulus constraint and suffers a low DoF, hence the need for hybrid analogdigital precoding.…”

Section: B Hybrid Analog-digital Precoding and Combining Architecturesmentioning

confidence: 99%

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A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges

2020

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Fifth-generation (5G) cellular networks will almost certainly operate in the high-bandwidth, underutilized millimeter-wave (mmWave) frequency spectrum, which offers the potentiality of highcapacity wireless transmission of multi-gigabit-per-second (Gbps) data rates. Despite the enormous available bandwidth potential, mmWave signal transmissions suffer from fundamental technical challenges like severe path loss, sensitivity to blockage, directivity, and narrow beamwidth, due to its short wavelengths. To effectively support system design and deployment, accurate channel modeling comprising several 5G technologies and scenarios is essential. This survey provides a comprehensive overview of several emerging technologies for 5G systems, such as massive multiple-input multiple-output (MIMO) technologies, multiple access technologies, hybrid analog-digital precoding and combining, non-orthogonal multiple access (NOMA), cell-free massive MIMO, and simultaneous wireless information and power transfer (SWIPT) technologies. These technologies induce distinct propagation characteristics and establish specific requirements on 5G channel modeling. To tackle these challenges, we first provide a survey of existing solutions and standards and discuss the radio-frequency (RF) spectrum and regulatory issues for mmWave communications. Second, we compared existing wireless communication techniques like sub-6-GHz WiFi and sub-6 GHz 4G LTE over mmWave communications which come with benefits comprising narrow beam, high signal quality, large capacity data transmission, and strong detection potential. Third, we describe the fundamental propagation characteristics of the mmWave band and survey the existing channel models for mmWave communications. Fourth, we track evolution and advancements in hybrid beamforming for massive MIMO systems in terms of system models of hybrid precoding architectures, hybrid analog and digital precoding/combining matrices, with the potential antenna configuration scenarios and mmWave channel estimation (CE) techniques. Fifth, we extend the scope of the discussion by including multiple access technologies for mmWave systems such as non-orthogonal multiple access (NOMA) and space-division multiple access (SDMA), with limited RF chains at the base station. Lastly, we explore the integration of SWIPT in mmWave massive MIMO systems, with limited RF chains, to realize spectrally and energy-efficient communications. INDEX TERMS Millimeter wave communications, propagation, channel measurements, channel models, MIMO, hybrid precoding, non-orthogonal multiple access (NOMA), multiple access techniques, simultaneous wireless information and power transfer (SWIPT), RF energy harvesting. NOMENCLATURE 2D Two-dimensional. 3D Three-dimensional The associate editor coordinating the review of this manuscript and approving it for publication was Jiayi Zhang .

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Section: A Beam Alignment and Selection Algorithmmentioning

confidence: 99%

Section: A Beam Alignment and Selection Algorithmmentioning

confidence: 99%