Coverage and capacity of millimeter-wave cellular networks

By Tianyang Bai, Ahmed Alkhateeb, Robert W. Heath. IEEE Communications Magazine, 2014

372 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ac21db86304a4f3d341a582033a2f12773f4d3af

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In Electrical and Electronic Engineering

Citations in the corpus

Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (2014, background): “th MS’s densities 30 times the BS densities. The channels between the BS’s and MS’s are single-path and each link is determined to be line-of-sight or non-line-of-sight based on the blockage model in [2]. Each MS is associated to the BS with less path-loss and the BS randomly selects n= 2;::;5 users”
Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays (2015, background): “put due to larger bandwidth [1] and higher spectral efficiency [2], which makes it promising for future 5G wireless communication systems [3].”
Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems (2015, methodology): “To incorporate the wideband and limited scattering characteristics of mmWave channels [3], [5], [11], [17], [54], [55], we adopt a geometric wideband mmWave channel model with L clusters.”
In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges (2015, background): “Analogously, potential exploitation of millimeter waves seems to be a very promising solution [142].”
Channel Estimation via Orthogonal Matching Pursuit for Hybrid MIMO Systems in Millimeter Wave Communications (2016, background): “RECENTLY, millimeter-wave (mm-wave) communication systems are emerging as a promising technology for nextgeneration wireless communications [1], [2].”
Stochastic Geometry Modeling and Analysis of Multi-Tier Millimeter Wave Cellular Networks (2014, background): “The aim is to develop mathematical frameworks specifically tailored to account for the peculiarities of mmWave propagation channels and transmission schemes [15]–[18].”
Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems (2018, background): “Most of the prior research has focused on developing beamforming strategies [8]–[10], evaluating the performance [11]–[13], or studying the practical feasibility of mmWave communication at fixed or lowmobility wireless systems [14]–[16].”
Modeling and Analyzing Millimeter Wave Cellular Systems (2016, methodology): “Such a model has been adopted in [53], [66], [84], and [124] for tractable coverage and rate analysis of mmWave cellular networks, and its accuracy has been validated in [125] (see Fig.”
A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects (2021, background): “The Ultra Dense Networks (UDN) achieve comparable coverage and much higher data rates than 4G cellular systems [108], [109].”
Coverage and Rate Analysis for Millimeter-Wave Cellular Networks (2014, result): “More comparison results with other techniques can be found in [34].”
A survey of millimeter wave communications (mmWave) for 5G: opportunities and challenges (2015, background): “In [107, 108], it is shown that mmWave cellular networks have the potential for high coverage and capacity as long as the infrastructure is densely deployed.”
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, background): “, path loss models) and peculiarities (such as blockage models) and that distinguishes it from conventional systems [92], [160]–[162].”