Millimeter Wave SDMA With Limited Feedback: RF-Only Beamforming Can Outperform Hybrid Beamforming

Kwon, Girim; Kim, Namshik; Park, Hyuncheol

doi:10.1109/tvt.2018.2888480

Cited by 26 publications

(7 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The upper bound in (19) is tight in typical scenarios, which will be verified in the simulations in VI. Furthermore, with the utilization of the upper bound for the ergodic rate, the precoders are designed based on the channel parameters {v k } K , which can be computed from the position knowledge of the satellite and the UTs with the assistance of e.g., global positioning system (GPS) [38], [39].…”

Section: A Upper Bound Of the Average Ratesupporting

confidence: 62%

Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications

You,

Qiang,

et al. 2022

Preprint

View full text Add to dashboard Cite

Massive multiple-input multiple-output (MIMO) is promising for low earth orbit (LEO) satellite communications due to the potential in enhancing the spectral efficiency. However, the conventional fully digital precoding architectures might lead to high implementation complexity and energy consumption. In this paper, hybrid analog/digital precoding solutions are developed for the downlink operation in LEO massive MIMO satellite communications, by exploiting the slow-varying statistical channel state information (CSI) at the transmitter. First, we formulate the hybrid precoder design as an energy efficiency (EE) maximization problem by considering both the continuous and discrete phase shift networks for implementing the analog precoder. The cases of both the fully and the partially connected architectures are considered. Since the EE optimization problem is nonconvex, it is in general difficult to solve. To make the EE maximization problem tractable, we apply a closed-form tight upper bound to approximate the ergodic rate. Then, we develop an efficient algorithm to obtain the fully digital precoders. Based on which, we further develop two different efficient algorithmic solutions to compute the hybrid precoders for the fully and the partially connected architectures, respectively. Simulation results show that the proposed approaches achieve significant EE performance gains over the existing baselines, especially when the discrete phase shift network is employed for analog precoding.

show abstract

Section: A Upper Bound Of the Average Ratesupporting

confidence: 62%

Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications

You,

Qiang,

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, a small number of multi-path components are actually available between the BS and each user. A geometric channel model is used to explain such a sparse channel for a particular user [36,49], which has become one of the research hot spots in the wireless communication system. Similar to [50], [29], [30], [31], [51] a modified geometric channel model having number of scatterers is used to evaluate the performance of practical wireless communication systems, where each scatterer plays a part in generating one propagation path commutating from the TX to RX link of certain physical distance .…”

Section: Channel Modelmentioning

confidence: 99%

Performance Analysis of Channel Estimation in 5G millimeter-Wave-MIMO Heterogeneous Systems

Chopra

Kakkar²

2021

Preprint

View full text Add to dashboard Cite

Millimeter Wave (mm-Wave) - massive Multiple-Input Multiple-Output (MIMO) technology has been a subject of today’s growing interest in both industry and academia for future wireless standards and has significant potential to provide considerable gains in data rates, link reliability and Energy Efficiency (EE).Sparse recovery has great capability in Channel Estimation (CE) for mm-Wave - Massive-MIMO (Ma-MIMO) heterogeneous wireless networks and in this context; the existing better candidate “Orthogonal Matching Pursuit” (OMP) algorithm is modified for CE in such networks. This paper will provide an opportunity in setting up of such a network, and the practical observation of the effect of a change in threshold, sparsity and noise levels as well as quantity of Radio Frequency (RF) chain systems. The performance analysis of CE accuracy in terms of Normalized Mean Square Error (NMSE)verses a given Signal-to-Noise (SNR) range in dB is calculated using this modified algorithm, much better than the existing OMP methods and compared against the ideal Genie case under a wide range of noise encountered. It has been observed that in a very high noise environment, NMSE of this noise resistant algorithm is approximate (100.5 to 10-3.5) in low SNR range (-10 to 30) dB and approximate (10-1.5 to10-5.5) in high SNR range (10 to 50) dB. It comes out to be approximate (10-1 to more than 10-5) in case of combined effect involvingthe reduction of quantity of RF chain systems to half and 10 times enhancement of threshold level in a very high noise environment and low SNR range.

show abstract

“…However, the severe signal propagation loss compared with conventional microwave frequencies makes this band just useful for indoor scenarios. Fortunately, the combination of mmWave with short wavelength and massive multipleinput multiple-output (MIMO) array compensate path loss and provide a high degree of spatial freedom to substantially enhance the system's throughput, spectral efficiency, which makes cellular communication on mmWave band practical [2,3]. Unfortunately, the mismatch between the number of expensive radio frequency (RF) chain and the large number of antenna makes the conventional full digital precoding impractical.…”

Section: Introductionmentioning

confidence: 99%

Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding

Jin

et al. 2019

J Wireless Com Network

View full text Add to dashboard Cite

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technology for future 5G wireless communications. Channel estimation for the millimeter-wave (mmWave) MIMO systems with hybrid precoding can be performed by estimating the path directions of the channel and corresponding path gains. This paper considers joint measure matrix and channel estimation for a massive MIMO system. By exploiting the sparsity of a massive MIMO system, a channel estimation scheme based on a Toeplitz-structured measure matrix and complete complementary sequence (CC-S) is proposed. Moreover, analytic studies show that the measurement matrix based on CCS yields either optimal performance or feasibility in practice than an independent identically distributed Gaussian matrix. The performance of the scheme is shown with numerical examples.

show abstract

Millimeter Wave SDMA With Limited Feedback: RF-Only Beamforming Can Outperform Hybrid Beamforming

Cited by 26 publications

References 34 publications

Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications

Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications

Performance Analysis of Channel Estimation in 5G millimeter-Wave-MIMO Heterogeneous Systems

Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding

Contact Info

Product

Resources

About