Performance analysis and optimization for non-uniformly deployed mmWave cellular network

Zhang, Xuefei; Liu, Yinjun; Wang, Yue; Bai, Juan

doi:10.1186/s13638-019-1370-z

Cited by 7 publications

(4 citation statements)

References 27 publications

(42 reference statements)

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“…The transmitted signal at mm-Wave frequency suffers from huge path-loss and other channel impairments, and it poses a great challenge to establish a reliable non-line-of-sight (NLOS) communication link as mm-Wave signals are sensitive to blockage [ 1 , 4 ]. In addition, the sparsity of mm-Wave scattering environment usually leads to rank-deficient channels [ 5 ]. By taking the advantage of short wavelength at mm-Wave frequencies, the poor characteristics associated with mm-Wave transmission (e.g., severe path loss, atmospheric absorptions, high penetration loss etc.)…”

Section: Introductionmentioning

confidence: 99%

Hybrid Beamforming and Relay Selection for End-to-End SNR Maximization in Single-User Multi-Relay MIMO Systems

Mustafa

Baik

You

et al. 2023

Sensors

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This paper proposes a novel hybrid beamforming and relay selection scheme for spectral efficiency maximization in a non-regenerative multi-relay multi-input multi-output (MIMO) system. The analog beamforming component in the radio-frequency (RF) domain must follow an element-wise constant modulus constraint, which makes the underlying design problem mathematically intractable and therefore, it is quite challenging to obtain the global optimal solution. To address this problem, phase-only precoding/combining matrices are derived by maximizing the end-to-end received signal-to-noise ratio (SNR) under transmit power constraint at the source and each relay node. This task is achieved by decomposing the original complicated optimization problem into two independent components. The first component designs the RF precoder/combiner at source and relay nodes by maximizing the received SNR at relay nodes. While the second component attempts to derive the analog precoder/combiner at relay nodes and destination by maximizing the received SNR at the destination. Digital baseband processing matrices are obtained by deriving the closed-form expression, which minimizes interference among different sub-channels. Finally, the relay selection is made by maximizing the overall SNR from the source to the destination. Computer simulations reveal that the performance of the proposed algorithm is close to its fully digital counterpart and approximately 6% higher than the specified relay-assisted hybrid beamforming techniques. Moreover, the proposed method achieves more than 15% higher performance in a sparse scattering environment when compared with the given relay selection techniques.

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Section: Introductionmentioning

confidence: 99%

Hybrid Beamforming and Relay Selection for End-to-End SNR Maximization in Single-User Multi-Relay MIMO Systems

Mustafa

Baik

You

et al. 2023

Sensors

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show abstract

“…Several features and technologies have opened up many possibilities to fulfill the anticipated requirement of 5G and beyond wireless networks [ 4 ]. Some enabling techniques, such as advanced multiple access techniques, new modulation schemes, and massive multiple-input multiple-output (MIMO), can improve the spectral efficiency of the conventional RF communication [ 5 ]. Another approach is to utilize the whole RF bandwidth, which extends from 3 kHz to 300 GHz, by exploiting the wide spectrum of millimeter-wave (mmWave) bands (20–100 GHz) to solve the contradiction between capacity requirements and spectrum shortage [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…Some enabling techniques, such as advanced multiple access techniques, new modulation schemes, and massive multiple-input multiple-output (MIMO), can improve the spectral efficiency of the conventional RF communication [ 5 ]. Another approach is to utilize the whole RF bandwidth, which extends from 3 kHz to 300 GHz, by exploiting the wide spectrum of millimeter-wave (mmWave) bands (20–100 GHz) to solve the contradiction between capacity requirements and spectrum shortage [ 5 ]. However, the major challenges of mmWave communications are its sensitivity to the blockages due to its poor diffracting ability and the enormous propagation loss owing to high carrier frequency [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

A Survey of NOMA for VLC Systems: Research Challenges and Future Trends

Sadat

Abaza

Mansour

et al. 2022

Sensors

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Visible light communication (VLC) has become a promising technology for high data rate communications and an attractive complementary to conventional radio frequency (RF) communication. VLC is a secure, energy efficient and cost-effective technology that exploits the existing infrastructure, particularly in indoor environments, for wireless data transmission. Nevertheless, the main limitation of developing high data rate VLC links is the narrow modulation bandwidth of light-emitting diodes (LEDs), which is in the megahertz range. The power domain nonorthogonal multiple access (PD-NOMA) scheme is envisioned to address several challenges in VLC systems. In this paper, we present a detailed overview of PD-NOMA based VLC systems. Moreover, we introduce insights on some PD-NOMA VLC system constraints and challenges such as power allocation, clipping effect, MIMO and security. Finally, we provide open research problems as well as possible directions for future research to pave the way for the implementation of PD-NOMA VLC systems.

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“…Nowadays,there is increasing research in the area of mmWave MIMO systems ( [5,6,7,8,9,10,11,12,13,14]). In this work, we propose low-complexity channel decomposition precoding techniques for a mmWave system with large antenna arrays at both the base station (BS) and mobile station MS in this research.…”

Section: Introductionmentioning

confidence: 99%

A Reduced Complexity Hybrid Precoding for mmWave Systems

Hilal

2022

Preprint

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The emergence of millimeter wave (mmWave) communication signals leads a new era in wireless technology. High-bandwidth communication channels are available in the mmWave spectrum compared to the current commercial wireless systems. Wireless local and personal area networks in the unlicensed band, 5G cellular systems, as well as vehicle area networks, ad hoc networks, and wearables are just a few of the many uses for mmWave technology. The next generation of mmWave communication relies heavily on signal processing. Combined with radio frequency and mixed signal power limits, new multiple-input multiple-output (MIMO) communication signal processing techniques are necessary. Low-complexity transceiver techniques are required because of the large bandwidths. Compressed sensing techniques can be used for channel estimation and beamforming in the future. Channel matrix in mmWave MIMO systems has significant importance on the hybrid precoding systems. Most precoding techniques are working on processing the MIMO channel to find the optimum beamforming vectors. This article provides a significant study on reducing the MIMO channel complexity in order to find the optimum beamforming elements. The study shows that the spectral efficiency of the system can be slightly sacrificed to reduce the complexity of the system based on the MIMO channel matrix low rank decomposition. We show the derivation and simulation of the proposed system through MATLAB software after the mathematical modelling and verification of the system.

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Performance analysis and optimization for non-uniformly deployed mmWave cellular network

Cited by 7 publications

References 27 publications

Hybrid Beamforming and Relay Selection for End-to-End SNR Maximization in Single-User Multi-Relay MIMO Systems

Hybrid Beamforming and Relay Selection for End-to-End SNR Maximization in Single-User Multi-Relay MIMO Systems

A Survey of NOMA for VLC Systems: Research Challenges and Future Trends

A Reduced Complexity Hybrid Precoding for mmWave Systems

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